diff --git a/CITATION.cff b/CITATION.cff
index 0ebea8019c94aea0c294396f7430e38e81ceef6a..0ce67d554c2e47b5875e4aefe89b1d315469b2ec 100644
--- a/CITATION.cff
+++ b/CITATION.cff
@@ -8,7 +8,7 @@ authors:
     given-names: Wilhelm
     orcid: "https://orcid.org/0000-0001-6625-4335"
 title: Theodolite
-version: "0.8.0"
+version: "0.8.2"
 repository-code: "https://github.com/cau-se/theodolite"
 license: "Apache-2.0"
 doi: "10.1016/j.bdr.2021.100209"
diff --git a/README.md b/README.md
index 804a193df21f3883ecf9a727af5a743b77a9cceb..a93be9469000b3771d39f72a8c920dce28d1c919 100644
--- a/README.md
+++ b/README.md
@@ -1,20 +1,27 @@
+![Theodolite](docs/assets/logo/theodolite-horizontal-transparent.svg)
+
 # Theodolite
 
 > A theodolite is a precision optical instrument for measuring angles between designated visible points in the horizontal and vertical planes.  -- <cite>[Wikipedia](https://en.wikipedia.org/wiki/Theodolite)</cite>
 
-Theodolite is a framework for benchmarking the horizontal and vertical scalability of stream processing engines. It consists of three modules:
+Theodolite is a framework for benchmarking the horizontal and vertical scalability of cloud-native applications.
 
-## Theodolite Benchmarking Tool
+## Quickstart
 
-Theodolite aims to benchmark scalability of stream processing engines for real use cases. Microservices that apply stream processing techniques are usually deployed in elastic cloud environments. Hence, Theodolite's cloud-native benchmarking framework deploys its components in a cloud environment, orchestrated by Kubernetes. It is recommended to install Theodolite with the package manager Helm. The Theodolite Helm chart along with instructions how to install it can be found in the [`helm`](helm) directory.
+Theodolite runs scalability benchmarks in Kubernetes. Follow our [quickstart guide](https://www.theodolite.rocks/quickstart.html) to get started.
 
-## Theodolite Analysis Tools
+## Documentation
 
-Theodolite's benchmarking method maps load intensities to the resource amounts that are required for processing them. A plot showing how resource demand evolves with an increasing load allows to draw conclusions about the scalability of a stream processing engine or its deployment. Theodolite provides Jupyter notebooks for creating such plots based on benchmarking results from the execution framework. More information can be found in [Theodolite analysis tool](analysis).
+Documentation on Theodolite itself as well as regarding its benchmarking method can be found on the [Theodolite website](https://www.theodolite.rocks).
 
-## Theodolite Benchmarks
+## Project Structure
 
-Theodolite comes with 4 application benchmarks, which are based on typical use cases for stream processing within microservices. For each benchmark, a corresponding load generator is provided. Currently, this repository provides benchmark implementations for Apache Kafka Streams and Apache Flink. The benchmark sources can be found in [Thedolite benchmarks](theodolite-benchmarks).
+* Core of Theodolite is its Kubernetes Operator, implemented in Kotlin. The source-code can be found in [`theodolite`](theodolite).
+* Theodolite's Helm chart and templates are maintained in [`helm`](helm).
+* We provide Juptyer notebooks for analyzing and visualizing the results of benchmark executions in [`analysis`](analysis).
+* Theodolite comes with 4 application benchmarks, which are based on typical use cases for stream processing within microservices. Implementations of these benchmarks with several state-of-the art stream processing frameworks as well as corresponding load generators can be found in [`theodolite-benchmarks`](theodolite-benchmarks). This includes both the source code of the implementations as well as benchmark definitions for Theodolite in [`theodolite-benchmarks/definitions`](theodolite-benchmarks/definitions).
+* The source code of Theodolite's SLO checkers are located in [`slo-checker`](slo-checker).
+* The documentation, which is hosted on [theodolite.rocks](https://www.theodolite.rocks), is located in [`docs`](docs).
 
 ## How to Cite
 
diff --git a/codemeta.json b/codemeta.json
index 5a4c6e8bcb11191e1d5b775cb30f889817d73c69..caf403217071cb4375fdbf039f51efd7152dd8ca 100644
--- a/codemeta.json
+++ b/codemeta.json
@@ -5,10 +5,10 @@
     "codeRepository": "https://github.com/cau-se/theodolite",
     "dateCreated": "2020-03-13",
     "datePublished": "2020-07-27",
-    "dateModified": "2022-07-18",
+    "dateModified": "2022-11-20",
     "downloadUrl": "https://github.com/cau-se/theodolite/releases",
     "name": "Theodolite",
-    "version": "0.8.0",
+    "version": "0.8.2",
     "description": "Theodolite is a framework for benchmarking the horizontal and vertical scalability of cloud-native applications.",
     "developmentStatus": "active",
     "relatedLink": [
diff --git a/docs/Gemfile.lock b/docs/Gemfile.lock
index 3bbf25983bd87f91386bf7c4722ce177ede4cdcb..43f0c8583ce3afbaa42cc58eceea19634cad7917 100644
--- a/docs/Gemfile.lock
+++ b/docs/Gemfile.lock
@@ -14,7 +14,7 @@ GEM
       execjs
     coffee-script-source (1.11.1)
     colorator (1.1.0)
-    commonmarker (0.23.4)
+    commonmarker (0.23.6)
     concurrent-ruby (1.1.10)
     dnsruby (1.61.9)
       simpleidn (~> 0.1)
@@ -239,7 +239,7 @@ GEM
       jekyll-seo-tag (~> 2.1)
     minitest (5.15.0)
     multipart-post (2.1.1)
-    nokogiri (1.13.6-x86_64-linux)
+    nokogiri (1.13.9-x86_64-linux)
       racc (~> 1.4)
     octokit (4.22.0)
       faraday (>= 0.9)
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diff --git a/docs/index.yaml b/docs/index.yaml
index 34c68818579e8cf4a486b0a8e49712e1281fa4c7..1611fc05574c15126a9c491d1c5ecdd8087e4d7c 100644
--- a/docs/index.yaml
+++ b/docs/index.yaml
@@ -1,6 +1,78 @@
 apiVersion: v1
 entries:
   theodolite:
+  - apiVersion: v2
+    appVersion: 0.8.2
+    created: "2022-11-20T11:37:04.711009053+01:00"
+    dependencies:
+    - condition: grafana.enabled
+      name: grafana
+      repository: https://grafana.github.io/helm-charts
+      version: 6.17.*
+    - condition: kube-prometheus-stack.enabled
+      name: kube-prometheus-stack
+      repository: https://prometheus-community.github.io/helm-charts
+      version: 41.7.*
+    - condition: cp-helm-charts.enabled
+      name: cp-helm-charts
+      repository: https://soerenhenning.github.io/cp-helm-charts
+      version: 0.6.0
+    - condition: strimzi.enabled
+      name: strimzi-kafka-operator
+      repository: https://strimzi.io/charts/
+      version: 0.29.*
+    description: Theodolite is a framework for benchmarking the horizontal and vertical
+      scalability of cloud-native applications.
+    digest: b6fc354d08b661dd75beb4e54efd0bb65b488247dcb528fd0c5e365f8f011808
+    home: https://www.theodolite.rocks
+    icon: https://www.theodolite.rocks/assets/logo/theodolite-stacked-transparent.svg
+    maintainers:
+    - email: soeren.henning@email.uni-kiel.de
+      name: Sören Henning
+      url: https://www.se.informatik.uni-kiel.de/en/team/soeren-henning-m-sc
+    name: theodolite
+    sources:
+    - https://github.com/cau-se/theodolite
+    type: application
+    urls:
+    - https://github.com/cau-se/theodolite/releases/download/v0.8.2/theodolite-0.8.2.tgz
+    version: 0.8.2
+  - apiVersion: v2
+    appVersion: 0.8.1
+    created: "2022-11-16T09:45:09.130711943+01:00"
+    dependencies:
+    - condition: grafana.enabled
+      name: grafana
+      repository: https://grafana.github.io/helm-charts
+      version: 6.17.5
+    - condition: kube-prometheus-stack.enabled
+      name: kube-prometheus-stack
+      repository: https://prometheus-community.github.io/helm-charts
+      version: 20.0.1
+    - condition: cp-helm-charts.enabled
+      name: cp-helm-charts
+      repository: https://soerenhenning.github.io/cp-helm-charts
+      version: 0.6.0
+    - condition: strimzi.enabled
+      name: strimzi-kafka-operator
+      repository: https://strimzi.io/charts/
+      version: 0.29.0
+    description: Theodolite is a framework for benchmarking the horizontal and vertical
+      scalability of cloud-native applications.
+    digest: 02a1c6a5a8d0295fb9bf2d704cb04e0a17624b83b2a03cd59c1d61b74d8fe4ab
+    home: https://www.theodolite.rocks
+    icon: https://www.theodolite.rocks/assets/logo/theodolite-stacked-transparent.svg
+    maintainers:
+    - email: soeren.henning@email.uni-kiel.de
+      name: Sören Henning
+      url: https://www.se.informatik.uni-kiel.de/en/team/soeren-henning-m-sc
+    name: theodolite
+    sources:
+    - https://github.com/cau-se/theodolite
+    type: application
+    urls:
+    - https://github.com/cau-se/theodolite/releases/download/v0.8.1/theodolite-0.8.1.tgz
+    version: 0.8.1
   - apiVersion: v2
     appVersion: 0.8.0
     created: "2022-07-18T17:48:21.205921939+02:00"
@@ -387,4 +459,4 @@ entries:
     urls:
     - https://github.com/cau-se/theodolite/releases/download/v0.4.0/theodolite-0.4.0.tgz
     version: 0.4.0
-generated: "2022-07-18T17:48:21.163757427+02:00"
+generated: "2022-11-20T11:37:04.66991317+01:00"
diff --git a/docs/installation.md b/docs/installation.md
index f73a25926917ae0edf00a8f75fdb33fb342fe9bb..998794687fbc457c0d8364ec341c2d26bd2f5d60 100644
--- a/docs/installation.md
+++ b/docs/installation.md
@@ -38,6 +38,16 @@ To store the results of benchmark executions in a [PersistentVolume](https://kub
 You can also use an existing PersistentVolumeClaim by setting `operator.resultsVolume.persistent.existingClaim`.
 If persistence is not enabled, all results will be gone upon pod termination.
 
+### Exposing Grafana
+
+Per default, Theodolite exposes a Grafana instance as NodePort at port `31199`. This can configured by setting `grafana.service.nodePort`.
+
+### Additional Kubernetes cluster metrics
+
+As long as you have sufficient permissions on your cluster, you can integrate additional Kubernetes metrics into Prometheus. This involes enabling some exporters, additional Grafana dashboards and additional permissions. We provide a [values file for enabling extended metrics](https://github.com/cau-se/theodolite/blob/main/helm/preconfigs/extended-metrics.yaml).
+
+See the [kube-prometheus-stack](https://github.com/prometheus-community/helm-charts/tree/main/charts/kube-prometheus-stack) for more details on configuring the individual exporters.
+
 ### Random scheduler
 
 Installation of the random scheduler can be enabled via `randomScheduler.enabled`. Please note that the random scheduler is neither required in operator mode nor in standalone mode. However, it has to be installed if benchmark executions should use random scheduling.
diff --git a/docs/publications.md b/docs/publications.md
index f87a363f49c00d685abd3d51d78f0365805c5281..4847ca6d5637eb7bb465221416450a8ca34b6b76 100644
--- a/docs/publications.md
+++ b/docs/publications.md
@@ -9,8 +9,9 @@ nav_order: 9
 Below you can find a list of publications that are directly related to Theodolite:
 
 * S. Henning and W. Hasselbring. “[A Configurable Method for Benchmarking Scalability of Cloud-Native Applications](https://doi.org/10.1007/s10664-022-10162-1)”. In: *Empirical Software Engineering* 27. 2022. DOI: [10.1007/s10664-022-10162-1](https://doi.org/10.1007/s10664-022-10162-1).
-* T. Pfandzelter, S. Henning, T. Schirmer, W. Hasselbring, and D. Bermbach. “[Streaming vs. Functions: A Cost Perspective on Cloud Event Processing](https://arxiv.org/pdf/2204.11509.pdf)”. In: *IEEE International Conference on Cloud Engineering*. 2022. In press.
-* S. Henning and W. Hasselbring. “Demo Paper: Benchmarking Scalability of Cloud-Native Applications with Theodolite”. In: *IEEE International Conference on Cloud Engineering*. 2022. In press.
+* T. Pfandzelter, S. Henning, T. Schirmer, W. Hasselbring, and D. Bermbach. “[Streaming vs. Functions: A Cost Perspective on Cloud Event Processing](https://arxiv.org/pdf/2204.11509.pdf)”. In: *IEEE International Conference on Cloud Engineering*. 2022. DOI: [10.1109/IC2E55432.2022.00015](https://doi.org/10.1109/IC2E55432.2022.00015).
+* S. Henning and W. Hasselbring. “[Demo Paper: Benchmarking Scalability of Cloud-Native Applications with Theodolite](https://oceanrep.geomar.de/id/eprint/57336/)”. In: *IEEE International Conference on Cloud Engineering*. 2022. DOI: [10.1109/IC2E55432.2022.00037](https://doi.org/10.1109/IC2E55432.2022.00037).
+* S. Henning, B. Wetzel, and W. Hasselbring. “[Cloud-Native Scalability Benchmarking with Theodolite Applied to the TeaStore Benchmark](https://oceanrep.geomar.de/id/eprint/57338/)”. In: *Symposium on Software Performance*. 2022.
 * S. Henning, B. Wetzel, and W. Hasselbring. “[Reproducible Benchmarking of Cloud-Native Applications With the Kubernetes Operator Pattern](http://ceur-ws.org/Vol-3043/short5.pdf)”. In: *Symposium on Software Performance*. 2021.
 * S. Henning and W. Hasselbring. “[How to Measure Scalability of Distributed Stream Processing Engines?](https://research.spec.org/icpe_proceedings/2021/companion/p85.pdf)” In: *Companion of the ACM/SPEC International Conference on Performance Engineering*. 2021. DOI: [10.1145/3447545.3451190](https://doi.org/10.1145/3447545.3451190).
 * S. Henning and W. Hasselbring. “[Theodolite: Scalability Benchmarking of Distributed Stream Processing Engines in Microservice Architectures](https://arxiv.org/abs/2009.00304)”. In: *Big Data Research* 25. 2021. DOI: [10.1016/j.bdr.2021.100209](https://doi.org/10.1016/j.bdr.2021.100209).
diff --git a/docs/theodolite-benchmarks/benchmark-uc1.md b/docs/theodolite-benchmarks/benchmark-uc1.md
new file mode 100644
index 0000000000000000000000000000000000000000..3034032403d529c1fdc2d5d4220af79700252adf
--- /dev/null
+++ b/docs/theodolite-benchmarks/benchmark-uc1.md
@@ -0,0 +1,21 @@
+---
+title: Benchmark UC1
+parent: Streaming Benchmarks
+has_children: false
+nav_order: 1
+---
+
+# Benchmark UC1: Database Storage
+
+A simple, but common use case in event-driven architectures is that events or messages should be stored permanently, for example, in a NoSQL database.
+
+## Dataflow Architecture
+
+![Theodolite Benchmark UC1: Database Storage](../../assets/images/arch-uc1.svg){: .d-block .mx-auto }
+
+The first step is to read data records from a messaging system. Then, these records are converted into another data format in order to match the often different formats required by the database. Finally, the converted records are written to an external database. 
+Per default, this benchmark does not use a real database, but instead writes all incoming records to system out. Otherwise, due to the simple, stateless stream processing topology, the benchmark would primarily test the database’s write capabilities. However, for implementations of some stream processing engines, also a real database can be configured.
+
+## Further Reading
+
+S. Henning and W. Hasselbring. “[Theodolite: Scalability Benchmarking of Distributed Stream Processing Engines in Microservice Architectures](https://arxiv.org/abs/2009.00304)”. In: *Big Data Research* 25. 2021. DOI: [10.1016/j.bdr.2021.100209](https://doi.org/10.1016/j.bdr.2021.100209).
diff --git a/docs/theodolite-benchmarks/benchmark-uc2.md b/docs/theodolite-benchmarks/benchmark-uc2.md
new file mode 100644
index 0000000000000000000000000000000000000000..3e4120fc540e164c8db996ac00cda46e9d2278f0
--- /dev/null
+++ b/docs/theodolite-benchmarks/benchmark-uc2.md
@@ -0,0 +1,23 @@
+---
+title: Benchmark UC2
+parent: Streaming Benchmarks
+has_children: false
+nav_order: 1
+---
+
+# Benchmark UC2: Downsampling
+
+Another common use case for stream processing architectures is reducing the amount of events, messages, or measurements by aggregating multiple records within consecutive, non-overlapping time windows. Typical aggregations compute the average, minimum, or maximum of measurements within a time window or
+count the occurrence of same events. Such reduced amounts of data are required, for example, to save computing resources or to provide a better user experience (e.g., for data visualizations).
+When using aggregation windows of fixed size that succeed each other without gaps (called [tumbling windows](https://kafka.apache.org/30/documentation/streams/developer-guide/dsl-api.html#tumbling-time-windows) in many stream processing engines), the (potentially varying) message frequency is reduced to a constant value.
+This is also referred to as downsampling. Downsampling allows for applying many machine learning methods that require data of a fixed frequency.
+
+## Dataflow Architecture
+
+![Theodolite Benchmark UC2: Downsampling](../../assets/images/arch-uc2.svg){: .d-block .mx-auto }
+
+The dataflow architecture first reads measurement data from an input stream and then assigns each measurement to a time window of fixed, but statically configurable size. Afterwards, an aggregation operator computes the summary statistics sum, count, minimum, maximum, average and population variance for a time window. Finally, the aggregation result containing all summary statistics is written to an output stream.
+
+## Further Reading
+
+S. Henning and W. Hasselbring. “[Theodolite: Scalability Benchmarking of Distributed Stream Processing Engines in Microservice Architectures](https://arxiv.org/abs/2009.00304)”. In: *Big Data Research* 25. 2021. DOI: [10.1016/j.bdr.2021.100209](https://doi.org/10.1016/j.bdr.2021.100209).
diff --git a/docs/theodolite-benchmarks/benchmark-uc3.md b/docs/theodolite-benchmarks/benchmark-uc3.md
new file mode 100644
index 0000000000000000000000000000000000000000..4f60e7ae8a1855c79a23114171b2abb0122a8918
--- /dev/null
+++ b/docs/theodolite-benchmarks/benchmark-uc3.md
@@ -0,0 +1,20 @@
+---
+title: Benchmark UC3
+parent: Streaming Benchmarks
+has_children: false
+nav_order: 1
+---
+
+# Benchmark UC3: Time Attribute-Based Aggregation
+
+A second type of temporal aggregation is aggregating messages that have the same time attribute. Such a time attribute is, for example, the hour of day, day of week, or day in the year. This type of aggregation can be used to compute, for example, an average course over the day, the week, or the year. It allows to demonstrate or discover seasonal patterns in the data.
+
+## Dataflow Architecture
+
+![Theodolite Benchmark UC3: Time Attribute-Based Aggregation](../../assets/images/arch-uc3.svg){: .d-block .mx-auto }
+
+The first step is to read measurement data from the input stream. Then, a new key is set for each message, which consists of the original key (i.e., the identifier of a sensor) and the selected time attribute (e.g., day of week) extracted from the record’s timestamp. In the next step, the message is duplicated for each sliding window it is contained in. Then, all measurements of the same sensor and the same time attribute are aggregated for each sliding time window by computing the summary statistics sum, count, minimum, maximum, average and population variance. The aggregation results per identifier, time attribute, and window are written to an output stream.
+
+## Further Reading
+
+S. Henning and W. Hasselbring. “[Theodolite: Scalability Benchmarking of Distributed Stream Processing Engines in Microservice Architectures](https://arxiv.org/abs/2009.00304)”. In: *Big Data Research* 25. 2021. DOI: [10.1016/j.bdr.2021.100209](https://doi.org/10.1016/j.bdr.2021.100209).
diff --git a/docs/theodolite-benchmarks/benchmark-uc4.md b/docs/theodolite-benchmarks/benchmark-uc4.md
new file mode 100644
index 0000000000000000000000000000000000000000..f91de3d542ed0c98995a59e80b310d11628c68cb
--- /dev/null
+++ b/docs/theodolite-benchmarks/benchmark-uc4.md
@@ -0,0 +1,24 @@
+---
+title: Benchmark UC4
+parent: Streaming Benchmarks
+has_children: false
+nav_order: 1
+---
+
+# Benchmark UC4: Hierarchical Aggregation
+
+For analyzing sensor data, often not only the individual measurements of sensors are of interest, but also aggregated data for
+groups of sensors. When monitoring energy consumption in industrial facilities, for example, comparing the total consumption
+of machine types often provides better insights than comparing the consumption of all individual machines. Additionally, it may
+be necessary to combine groups further into larger groups and adjust these group hierarchies at runtime.
+
+## Dataflow Architecture
+
+![Theodolite Benchmark UC4: Hierarchical Aggregation](../../assets/images/arch-uc4.svg){: .d-block .mx-auto }
+
+The dataflow architecture requires two input data streams: a stream of sensor measurements and a stream tracking changes to the hierarchies of sensor groups. In the consecutive steps, both streams are joined, measurements are duplicated for each relevant group, assigned to time windows, and the measurements for all sensors in a group per window are aggregated. Finally, the aggregation results are exposed via a new data stream. Additionally, the output stream is fed back as an input stream in order to compute aggregations for groups containing subgroups. To also support unknown record frequencies, this dataflow architecture can be configured to use sliding windows instead of tumbling windows (see [further reading](#further-reading)).
+
+## Further Reading
+
+* S. Henning and W. Hasselbring. “[Theodolite: Scalability Benchmarking of Distributed Stream Processing Engines in Microservice Architectures](https://arxiv.org/abs/2009.00304)”. In: *Big Data Research* 25. 2021. DOI: [10.1016/j.bdr.2021.100209](https://doi.org/10.1016/j.bdr.2021.100209).
+* S. Henning and W. Hasselbring. “[Scalable and reliable multi-dimensional sensor data aggregation in data-streaming architectures](https://doi.org/10.1007/s41688-020-00041-3)”. In: *Data-Enabled Discovery and Applications* 4.1. 2020. DOI: [10.1007/s41688-020-00041-3](https://doi.org/10.1007/s41688-020-00041-3).
\ No newline at end of file
diff --git a/docs/theodolite-benchmarks/index.md b/docs/theodolite-benchmarks/index.md
index 30b8e816ef1b48e770c8e42be1d599a71431c976..ba8e512c20787c1d0bc7a380f493cd19d665e2e0 100644
--- a/docs/theodolite-benchmarks/index.md
+++ b/docs/theodolite-benchmarks/index.md
@@ -1,36 +1,92 @@
 ---
-title: Available Benchmarks
+title: Streaming Benchmarks
 has_children: true
 nav_order: 7
 ---
 
-# Theodolite Benchmarks
+# Theodolite's Stream Processing Benchmarks
 
-Theodolite comes with 4 application benchmarks, which are based on typical use cases for stream processing within microservices. For each benchmark, a corresponding [load generator](load-generator) is provided. Currently, Theodolite provides benchmark implementations for Apache Kafka Streams and Apache Flink.
+Theodolite comes with 4 application benchmarks, which are based on typical use cases for stream processing within microservices. For each benchmark, a corresponding [load generator](load-generator) is provided. Currently, Theodolite provides benchmark implementations for Apache Kafka Streams, Apache Flink, Hazelcast Jet and Apache Beam (with Samza and Flink).
 
+Theodolite's benchmarks (labeled UC1--UC4) represent some sort of event-driven microservice performing Industrial Internet of Things data analytics. Specifically, they are derived from a microservice-based research software for analyzing industrial power consumption data streams (the [Titan Control Center](https://github.com/cau-se/titan-ccp)).
 
-Theodolite's benchmarks are based on typical use cases for stream processing within microservices. Specifically, all benchmarks represent some sort of microservice doing Industrial Internet of Things data analytics. 
+| Stream processing engine  | [UC1](benchmark-uc1) | [UC2](benchmark-uc2) | [UC3](benchmark-uc3) | [UC4](benchmark-uc4) |
+|:--------------------------|:---:|:---:|:---:|:---:|
+| Apache Kafka Streams      | ✓   | ✓   | ✓   | ✓   |
+| Apache Flink              | ✓   | ✓   | ✓   | ✓   |
+| Hazelcast Jet             | ✓   | ✓   | ✓   | ✓   |
+| Apache Beam (Samza/Flink) | ✓   | ✓   | ✓   | ✓   |
 
-## UC1: Database Storage
+## Installation
 
-A simple, but common use case in event-driven architectures is that events or messages should be stored permanently, for example, in a NoSQL database.
+When [installing Theodolite](../installation) with Helm and the default configuration, also our stream processing benchmarks are automatically installed.
+This can be verified by running `kubectl get benchmarks`, which should yield something like:
 
+```
+NAME                AGE     STATUS
+uc1-beam-flink      2d20h   Ready
+uc1-beam-samza      2d20h   Ready
+uc1-flink           2d20h   Ready
+uc1-hazelcastjet    2d16h   Ready
+uc1-kstreams        2d20h   Ready
+uc2-beam-flink      2d20h   Ready
+uc2-beam-samza      2d20h   Ready
+uc2-flink           2d20h   Ready
+uc2-hazelcastjet    2d16h   Ready
+uc2-kstreams        2d20h   Ready
+uc3-beam-flink      2d20h   Ready
+uc3-beam-samza      2d20h   Ready
+uc3-flink           2d20h   Ready
+uc3-hazelcastjet    2d16h   Ready
+uc3-kstreams        2d20h   Ready
+uc4-beam-flink      2d20h   Ready
+uc4-beam-samza      2d20h   Ready
+uc4-flink           2d20h   Ready
+uc4-hazelcastjet    2d16h   Ready
+uc4-kstreams        2d20h   Ready
+```
 
-## UC2: Downsampling
+Alternatively, all benchmarks can also be found at [GitHub](https://github.com/cau-se/theodolite/tree/main/theodolite-benchmarks/definitions) and installed manually with `kubectl apply -f <benchmark-yaml-file>`. Additionally, you would need to package the benchmarks' Kubernetes resources into a ConfigMap by running:
 
-Another common use case for stream processing architectures is reducing the amount of events, messages, or measurements by aggregating multiple records within consecutive, non-overlapping time windows. Typical aggregations compute the average, minimum, or maximum of measurements within a time window or
-count the occurrence of same events. Such reduced amounts of data are required, for example, to save computing resources or to provide a better user experience (e.g., for data visualizations).
-When using aggregation windows of fixed size that succeed each other without gaps (called [tumbling windows](https://kafka.apache.org/30/documentation/streams/developer-guide/dsl-api.html#tumbling-time-windows) in many stream processing engines), the (potentially varying) message frequency is reduced to a constant value.
-This is also referred to as downsampling. Downsampling allows for applying many machine learning methods that require data of a fixed frequency.
+```sh
+kubectl create configmap <configmap-name-required-by-benchmark> --from-file <directory-with-benchmark-resources>
+```
 
+See the [install-configmaps.sh](https://github.com/cau-se/theodolite/blob/main/theodolite-benchmarks/definitions/install-configmaps.sh) script for examples.
 
-## UC3: Time Attribute-Based Aggregation
+## Running Benchmarks
 
-A second type of temporal aggregation is aggregating messages that have the same time attribute. Such a time attribute is, for example, the hour of day, day of week, or day in the year. This type of aggregation can be used to compute, for example, an average course over the day, the week, or the year. It allows to demonstrate or discover seasonal patterns in the data.
+To run a benchmark, you need to create and apply an `Execution` YAML file as described in the [running benchmarks documentation](../running-benchmarks).
 
-## UC4: Hierarchical Aggregation
+## Control the Number of Load Generator Instances
 
-For analyzing sensor data, often not only the individual measurements of sensors are of interest, but also aggregated data for
-groups of sensors. When monitoring energy consumption in industrial facilities, for example, comparing the total consumption
-of machine types often provides better insights than comparing the consumption of all individual machines. Additionally, it may
-be necessary to combine groups further into larger groups and adjust these group hierarchies at runtime.
+Depending on the load to be generated, the Theodolite benchmarks create multiple load generator instances.
+Per default, a single instance will generate up to 150&thinsp;000 messages per second.
+If higher loads are to be generated, accordingly more instances are deployed.
+However, the actual load that can be generated by a single load generator instance depends on the cluster configuration and might be lower.
+To change the maximum number of messages per instance, run the following commands.
+Set the `MAX_RECORDS_PER_INSTANCE` variable to the number of messages a single instance can generate in your cluster (use our Grafana dashboard to figure out that value).
+
+```sh
+export MAX_RECORDS_PER_INSTANCE=150000 # Change to your desired value
+kubectl patch benchmarks uc1-beam-flink --type json --patch "[{op: replace, path: /spec/loadTypes/0/patchers/1/properties/loadGenMaxRecords, value: $MAX_RECORDS_PER_INSTANCE}]"
+kubectl patch benchmarks uc1-beam-samza --type json --patch "[{op: replace, path: /spec/loadTypes/0/patchers/1/properties/loadGenMaxRecords, value: $MAX_RECORDS_PER_INSTANCE}]"
+kubectl patch benchmarks uc1-flink --type json --patch "[{op: replace, path: /spec/loadTypes/0/patchers/1/properties/loadGenMaxRecords, value: $MAX_RECORDS_PER_INSTANCE}]"
+kubectl patch benchmarks uc1-hazelcastjet --type json --patch "[{op: replace, path: /spec/loadTypes/0/patchers/1/properties/loadGenMaxRecords, value: $MAX_RECORDS_PER_INSTANCE}]"
+kubectl patch benchmarks uc1-kstreams --type json --patch "[{op: replace, path: /spec/loadTypes/0/patchers/1/properties/loadGenMaxRecords, value: $MAX_RECORDS_PER_INSTANCE}]"
+kubectl patch benchmarks uc2-beam-flink --type json --patch "[{op: replace, path: /spec/loadTypes/0/patchers/1/properties/loadGenMaxRecords, value: $MAX_RECORDS_PER_INSTANCE}]"
+kubectl patch benchmarks uc2-beam-samza --type json --patch "[{op: replace, path: /spec/loadTypes/0/patchers/1/properties/loadGenMaxRecords, value: $MAX_RECORDS_PER_INSTANCE}]"
+kubectl patch benchmarks uc2-flink --type json --patch "[{op: replace, path: /spec/loadTypes/0/patchers/1/properties/loadGenMaxRecords, value: $MAX_RECORDS_PER_INSTANCE}]"
+kubectl patch benchmarks uc2-hazelcastjet --type json --patch "[{op: replace, path: /spec/loadTypes/0/patchers/1/properties/loadGenMaxRecords, value: $MAX_RECORDS_PER_INSTANCE}]"
+kubectl patch benchmarks uc2-kstreams --type json --patch "[{op: replace, path: /spec/loadTypes/0/patchers/1/properties/loadGenMaxRecords, value: $MAX_RECORDS_PER_INSTANCE}]"
+kubectl patch benchmarks uc3-beam-flink --type json --patch "[{op: replace, path: /spec/loadTypes/0/patchers/1/properties/loadGenMaxRecords, value: $MAX_RECORDS_PER_INSTANCE}]"
+kubectl patch benchmarks uc3-beam-samza --type json --patch "[{op: replace, path: /spec/loadTypes/0/patchers/1/properties/loadGenMaxRecords, value: $MAX_RECORDS_PER_INSTANCE}]"
+kubectl patch benchmarks uc3-flink --type json --patch "[{op: replace, path: /spec/loadTypes/0/patchers/1/properties/loadGenMaxRecords, value: $MAX_RECORDS_PER_INSTANCE}]"
+kubectl patch benchmarks uc3-hazelcastjet --type json --patch "[{op: replace, path: /spec/loadTypes/0/patchers/1/properties/loadGenMaxRecords, value: $MAX_RECORDS_PER_INSTANCE}]"
+kubectl patch benchmarks uc3-kstreams --type json --patch "[{op: replace, path: /spec/loadTypes/0/patchers/1/properties/loadGenMaxRecords, value: $MAX_RECORDS_PER_INSTANCE}]"
+kubectl patch benchmarks uc4-beam-flink --type json --patch "[{op: replace, path: /spec/loadTypes/0/patchers/1/properties/loadGenMaxRecords, value: $MAX_RECORDS_PER_INSTANCE}]"
+kubectl patch benchmarks uc4-beam-samza --type json --patch "[{op: replace, path: /spec/loadTypes/0/patchers/1/properties/loadGenMaxRecords, value: $MAX_RECORDS_PER_INSTANCE}]"
+kubectl patch benchmarks uc4-flink --type json --patch "[{op: replace, path: /spec/loadTypes/0/patchers/1/properties/loadGenMaxRecords, value: $MAX_RECORDS_PER_INSTANCE}]"
+kubectl patch benchmarks uc4-hazelcastjet --type json --patch "[{op: replace, path: /spec/loadTypes/0/patchers/1/properties/loadGenMaxRecords, value: $MAX_RECORDS_PER_INSTANCE}]"
+kubectl patch benchmarks uc4-kstreams --type json --patch "[{op: replace, path: /spec/loadTypes/0/patchers/1/properties/loadGenMaxRecords, value: $MAX_RECORDS_PER_INSTANCE}]"
+```
\ No newline at end of file
diff --git a/docs/theodolite-benchmarks/load-generator.md b/docs/theodolite-benchmarks/load-generator.md
index ff2e2ecc6afe1fff642cd9be2f04a32b6cd62aa9..4359a8d36653e2a8b9e79027cb5883405989203d 100644
--- a/docs/theodolite-benchmarks/load-generator.md
+++ b/docs/theodolite-benchmarks/load-generator.md
@@ -1,8 +1,8 @@
 ---
 title: Load Generators
-parent: Available Benchmarks
+parent: Streaming Benchmarks
 has_children: false
-nav_order: 1
+nav_order: 5
 ---
 
 # Load Generator Framework
diff --git a/docs/troubleshooting-execution.md b/docs/troubleshooting-execution.md
index 479ba93bd515b8654f2a644176686a39b5a27c43..191ff1e39a3ac4efb76b576a50573ec5aaa342fd 100644
--- a/docs/troubleshooting-execution.md
+++ b/docs/troubleshooting-execution.md
@@ -31,7 +31,7 @@ Theodolite produces Kubernetes events, which you can view by running:
 kubectl describe execution <your-execution-name>
 ```
 
-## Looking the Operator Logs
+## Looking at the Operator Logs
 
 If you cannot figure out why your benchmark execution fails, you might want to have look at the operator logs:
 
diff --git a/helm/Chart.yaml b/helm/Chart.yaml
index f78629b3674cfda290f97b48c8cc183476b1e891..77c839c06da7e4d978a55bd4c84fb3c98d5f6341 100644
--- a/helm/Chart.yaml
+++ b/helm/Chart.yaml
@@ -14,19 +14,15 @@ type: application
 
 dependencies:
   - name: grafana
-    version: 6.17.5
+    version: 6.17.*
     repository: https://grafana.github.io/helm-charts
     condition: grafana.enabled
   - name: kube-prometheus-stack
-    version:  20.0.1
+    version: 41.7.*
     repository: https://prometheus-community.github.io/helm-charts
     condition: kube-prometheus-stack.enabled
-  - name: cp-helm-charts
-    version: 0.6.0
-    repository: https://soerenhenning.github.io/cp-helm-charts
-    condition: cp-helm-charts.enabled
   - name: strimzi-kafka-operator
-    version: 0.28.0
+    version: 0.29.*
     repository: https://strimzi.io/charts/
     condition: strimzi.enabled
 
diff --git a/helm/README.md b/helm/README.md
index 4b0c65de2e82e1c56151bc6b9bfad6d4967eb110..172ff98b7e06d337a8ff634b25b0c7b69218dd78 100644
--- a/helm/README.md
+++ b/helm/README.md
@@ -9,7 +9,7 @@ helm dependencies update .
 helm install theodolite .
 ```
 
-**Hint for Windows users:** The Theodolite Helm chart makes use of some symbolic links. These are not properly created when this repository is checked out with Windows. There are a couple of solutions presented in this [Stack Overflow post](https://stackoverflow.com/q/5917249/4121056). A simpler workaround is to manually delete the symbolic links and replace them by the files and folders, they are pointing to. The relevant symbolic links are `benchmark-definitions` and the files inside `crd`.
+**Hint for Windows users:** The Theodolite Helm chart makes use of some symbolic links. These are not properly created when this repository is checked out with Windows. There are a couple of solutions presented in this [Stack Overflow post](https://stackoverflow.com/q/5917249/4121056). A simpler workaround is to manually delete the symbolic links and replace them by the files and folders, they are pointing to. The relevant symbolic links are `benchmark-definitions/examples`, `benchmark-definitions/theodolite-benchmarks` and the files inside `crd`.
 
 ## Customize Installation
 
diff --git a/helm/preconfigs/extended-metrics.yaml b/helm/preconfigs/extended-metrics.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..be80ccba0b52aef889cebd3cd35e7bbccf09a3a9
--- /dev/null
+++ b/helm/preconfigs/extended-metrics.yaml
@@ -0,0 +1,28 @@
+###
+# Prometheus Monitoring Stack (Prometheus Operator)
+###
+kube-prometheus-stack:
+  global:
+    rbac:
+      create: true # enable for full-stack monitoring
+  
+  grafana:
+    defaultDashboardsEnabled: true
+
+  kubelet:
+    enabled: true
+  
+  kubeDns:
+    enabled: true
+   
+  kubeStateMetrics:
+    enabled: true
+  
+  nodeExporter:
+    enabled: true
+  
+  prometheus:
+    enabled: true # Use built-in Prometheus
+
+prometheus: 
+  enabled: false # Use built-in Prometheus
diff --git a/helm/templates/grafana/dashboard-config-map.yaml b/helm/templates/grafana/dashboard-config-map.yaml
index 459021213c1d4c746819ddabac790800b9a6ed09..9054ece8ca2fd94576d5dad3983054adbf4204a6 100644
--- a/helm/templates/grafana/dashboard-config-map.yaml
+++ b/helm/templates/grafana/dashboard-config-map.yaml
@@ -1,4 +1,4 @@
-{{- if .Values.grafana.enabled -}}
+{{- if (index .Values "kube-prometheus-stack" "grafana" "enabled") -}}
 apiVersion: v1
 kind: ConfigMap
 metadata:
diff --git a/helm/templates/grafana/datasource-config-map.yaml b/helm/templates/grafana/datasource-config-map.yaml
deleted file mode 100644
index b28157940c4dd7cb05eca3fe04926f6e7726830f..0000000000000000000000000000000000000000
--- a/helm/templates/grafana/datasource-config-map.yaml
+++ /dev/null
@@ -1,31 +0,0 @@
-{{- if .Values.grafana.enabled -}}
-apiVersion: v1
-kind: ConfigMap
-metadata:
-  name: {{ template "theodolite.fullname" . }}-prometheus
-  labels:
-    grafana_datasource: "1"
-data:
-  datasource.yaml: |-
-    # config file version
-    apiVersion: 1
-    datasources:
-      # <string, required> name of the datasource. Required
-    - name: Prometheus
-      # <string, required> datasource type. Required
-      type: prometheus
-      # <string, required> access mode. proxy or direct (Server or Browser in the UI). Required
-      access: proxy
-      # <bool> mark as default datasource. Max one per org
-      isDefault: true
-      # <int> org id. will default to orgId 1 if not specified
-      orgId: 1
-      # <string> url
-      url: http://prometheus-operated:9090 #http://localhost:9090
-      # <map> fields that will be converted to json and stored in json_data
-      jsonData:
-        timeInterval: "15s"
-      version: 1
-      # <bool> allow users to edit datasources from the UI.
-      editable: true
-{{- end }}
\ No newline at end of file
diff --git a/helm/templates/grafana/osp-dashboard-config-map.yaml b/helm/templates/grafana/osp-dashboard-config-map.yaml
index 22685adf8e93d95614bdbb71ef6bc993a009a150..fc8140979ff2cedf2907ec896334c32bf8e24ce3 100644
--- a/helm/templates/grafana/osp-dashboard-config-map.yaml
+++ b/helm/templates/grafana/osp-dashboard-config-map.yaml
@@ -1,10 +1,10 @@
-{{- if .Values.grafana.enabled -}}
+{{- if (index .Values "kube-prometheus-stack" "grafana" "enabled") -}}
 apiVersion: v1
 kind: ConfigMap
 metadata:
   name: {{ template "theodolite.fullname" . }}-grafana-scalability-osp
   labels:
-    grafana_dashboard: "2"
+    grafana_dashboard: "1"
 data:
   osp-dashboard.json: |-
     {{`{
diff --git a/helm/templates/prometheus/node-port.yaml b/helm/templates/prometheus/node-port.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..dc241d988439f45b181e3f993405278fe2ee9f93
--- /dev/null
+++ b/helm/templates/prometheus/node-port.yaml
@@ -0,0 +1,16 @@
+{{- if and .Values.prometheus.enabled .Values.prometheus.nodePort.enabled -}}
+apiVersion: v1
+kind: Service
+metadata:
+  name: {{ template "theodolite.fullname" . }}-prometheus-nodeport
+spec:
+  type: NodePort
+  ports:
+  - name: web
+    nodePort: {{ .Values.prometheus.nodePort.nodePort }}
+    port: 9090
+    protocol: TCP
+    targetPort: 9090
+  selector:
+    app.kubernetes.io/name: prometheus
+{{- end}}
diff --git a/helm/templates/prometheus/role-binding.yaml b/helm/templates/prometheus/role-binding.yaml
index 722f806e0621a5775083f74f064e0c9eae18f1d8..49b4eff0fed6627b52f2dd5529cd73cf723c4ec2 100644
--- a/helm/templates/prometheus/role-binding.yaml
+++ b/helm/templates/prometheus/role-binding.yaml
@@ -1,11 +1,11 @@
 {{- if .Values.prometheus.roleBinding.enabled -}}
 apiVersion: rbac.authorization.k8s.io/v1
-kind: RoleBinding
+kind: {{ if .Values.prometheus.roleBinding.clusterRoleBinding }}ClusterRoleBinding{{ else }}RoleBinding{{ end }}
 metadata:
   name: {{ template "theodolite.fullname" . }}-prometheus
 roleRef:
   apiGroup: rbac.authorization.k8s.io
-  kind: Role
+  kind: {{ if .Values.prometheus.role.clusterRole }}ClusterRole{{ else }}Role{{ end }}
   name: {{ template "theodolite.fullname" . }}-prometheus
 subjects:
 - kind: ServiceAccount
diff --git a/helm/templates/prometheus/role.yaml b/helm/templates/prometheus/role.yaml
index 321d2825b5b98d31fc34619e88994058bac74cab..bbe1be6bfc9386f1b5bce896ccf100dc81a0a81d 100644
--- a/helm/templates/prometheus/role.yaml
+++ b/helm/templates/prometheus/role.yaml
@@ -1,6 +1,6 @@
 {{- if .Values.prometheus.role.enabled -}}
 apiVersion: rbac.authorization.k8s.io/v1
-kind: Role
+kind: {{ if .Values.prometheus.role.clusterRole }}ClusterRole{{ else }}Role{{ end }}
 metadata:
   name: {{ template "theodolite.fullname" . }}-prometheus
 rules:
@@ -14,4 +14,8 @@ rules:
   resources:
   - configmaps
   verbs: ["get"]
-{{- end}}
+{{- if .Values.prometheus.role.clusterRole }}
+- nonResourceURLs: ["/metrics"]
+  verbs: ["get"]
+{{- end }}
+{{- end }}
diff --git a/helm/values.yaml b/helm/values.yaml
index 1fe1938b9d2257eba4e49b581815937e1a400719..6f6faeb95b828e71e9f645904c02a8b47393b2a9 100644
--- a/helm/values.yaml
+++ b/helm/values.yaml
@@ -15,149 +15,13 @@ kafkaClient:
 # Grafana
 ###
 grafana:
-  enabled: true
-  nodeSelector: {}
-  image:
-    repository: grafana/grafana
-    tag: 6.7.3
-    pullPolicy: IfNotPresent
-  # Administrator credentials when not using an existing secret (see below)
-  adminUser: admin
-  adminPassword: admin
-  grafana.ini:
-    #org_name: Theodolite
-    auth.anonymous:
-      # enable anonymous access
-      enabled: true
-      org_role: Admin # Role for unauthenticated users, other valid values are `Viewer`, `Editor` and `Admin`
-    users:
-      default_theme: light
-    #dashboards: # the following doesn't work but is planed
-      # Path to the default home dashboard. If this value is empty, then Grafana uses StaticRootPath + "dashboards/home.json"
-      #default_home_dashboard_path: "/tmp/dashboards/k8s-dashboard.json"
-  ## Sidecars that collect the configmaps with specified label and stores the included files them into the respective folders
-  ## Requires at least Grafana 5 to work and can't be used together with parameters dashboardProviders, datasources and dashboards
-  sidecar:
-    image:
-      repository: "kiwigrid/k8s-sidecar"
-      tag: "0.1.99"
-    imagePullPolicy: IfNotPresent
-    dashboards:
-      enabled: true
-      provider:
-        # allow updating provisioned dashboards from the UI
-        allowUiUpdates: true
-    datasources:
-      enabled: true
-  service:
-    nodePort: 31199
-    type: NodePort
-  rbac:
-    pspEnabled: false
-    namespaced: true
+  enabled: false
+ 
 
 
 ###
-# Confluent Platform 
+# Strimzi and Kafka
 ###
-
-cp-helm-charts:
-  enabled: false
-  ## ------------------------------------------------------
-  ## Zookeeper
-  ## ------------------------------------------------------
-  cp-zookeeper:
-    enabled: false
-    nodeSelector: {}
-    servers: 3
-    image: confluentinc/cp-zookeeper
-    imageTag: 5.4.0
-    ## Optionally specify an array of imagePullSecrets. Secrets must be manually created in the namespace.
-    ## https://kubernetes.io/docs/concepts/containers/images/#specifying-imagepullsecrets-on-a-pod
-    imagePullSecrets:
-    #  - name: "regcred"
-    heapOptions: "-Xms512M -Xmx512M"
-    persistence:
-      enabled: false
-
-  ## ------------------------------------------------------
-  ## Kafka
-  ## ------------------------------------------------------
-  cp-kafka:
-    enabled: false
-    nodeSelector: {}
-    brokers: 3
-    image: confluentinc/cp-enterprise-kafka
-    imageTag: 5.4.0
-    ## Optionally specify an array of imagePullSecrets. Secrets must be manually created in the namespace.
-    ## https://kubernetes.io/docs/concepts/containers/images/#specifying-imagepullsecrets-on-a-pod
-    imagePullSecrets:
-    #  - name: "regcred"
-    heapOptions: "-Xms512M -Xmx512M"
-    persistence:
-      enabled: false
-    resources: {}
-    configurationOverrides:
-      #offsets.topic.replication.factor: 1
-      "message.max.bytes": "134217728" # 128 MB
-      "replica.fetch.max.bytes": "134217728" # 128 MB
-      #default.replication.factor: 1
-      # "min.insync.replicas": 2
-      "auto.create.topics.enable": false
-      #"log.retention.ms": "10000" # 10s
-      "log.retention.ms": "7200000" # 2h
-      "metrics.sample.window.ms": "5000" #5s
-      "advertised.listeners": |-
-        EXTERNAL://${HOST_IP}:$((31090 + ${KAFKA_BROKER_ID}))
-      "listener.security.protocol.map": |-
-        PLAINTEXT:PLAINTEXT,EXTERNAL:PLAINTEXT
-    
-    nodeport:
-      enabled: false
-      servicePort: 19092
-      firstListenerPort: 31090
-
-
-  ## ------------------------------------------------------
-  ## Schema Registry
-  ## ------------------------------------------------------
-  cp-schema-registry:
-    enabled: false
-    nodeSelector: {}
-    image: confluentinc/cp-schema-registry
-    imageTag: 5.4.0
-    ## Optionally specify an array of imagePullSecrets. Secrets must be manually created in the namespace.
-    ## https://kubernetes.io/docs/concepts/containers/images/#specifying-imagepullsecrets-on-a-pod
-    imagePullSecrets:
-    #  - name: "regcred"
-    heapOptions: "-Xms512M -Xmx512M"
-    resources: {}
-    
-    external:
-      enabled: true
-      type: NodePort
-      servicePort: 8081
-      nodePort: 30099
-      annotations: {}
-
-    kafka:
-      bootstrapServers: theodolite-kafka-kafka-bootstrap:9092
-
-  cp-kafka-rest:
-    enabled: false
-
-  cp-kafka-connect:
-    enabled: false
-
-  cp-ksql-server:
-    enabled: false
-
-  cp-control-center:
-    enabled: false
-
-  ## The interval between refreshing metrics
-  pollIntervalSeconds: 15
-
 strimzi-kafka-operator:
   createGlobalResources: false # Might disable some of Strimzi's features
 
@@ -221,16 +85,45 @@ strimzi:
 kube-prometheus-stack:
   global:
     rbac:
-      create: false
-
-  commonLabels:
-    appScope: titan-ccp
+      create: false # enable for full-stack monitoring
   
   alertmanager:
     enabled: false
   
   grafana:
-    enabled: false
+    enabled: true
+    nodeSelector: {}
+    defaultDashboardsEnabled: false
+    # Administrator credentials when not using an existing secret (see below)
+    adminUser: admin
+    adminPassword: admin
+    grafana.ini:
+      #org_name: Theodolite
+      auth.anonymous:
+        # enable anonymous access
+        enabled: true
+        org_role: Admin # Role for unauthenticated users, other valid values are `Viewer`, `Editor` and `Admin`
+      users:
+        default_theme: light
+      #dashboards: # the following doesn't work but is planed
+        # Path to the default home dashboard. If this value is empty, then Grafana uses StaticRootPath + "dashboards/home.json"
+        #default_home_dashboard_path: "/tmp/dashboards/k8s-dashboard.json"
+    ## Sidecars that collect the configmaps with specified label and stores the included files them into the respective folders
+    ## Requires at least Grafana 5 to work and can't be used together with parameters dashboardProviders, datasources and dashboards
+    sidecar:
+      dashboards:
+        enabled: true
+        provider:
+          # allow updating provisioned dashboards from the UI
+          allowUiUpdates: true
+      datasources:
+        enabled: true
+        url: http://prometheus-operated:9090/
+    service:
+      nodePort: 31199
+      type: NodePort
+    rbac:
+      namespaced: true
   
   kubeApiServer:
     enabled: false
@@ -275,25 +168,39 @@ kube-prometheus-stack:
     serviceAccount:
       create: true
   
-  # We use our own Prometheus
   prometheus:
-    enabled: false
+    enabled: false # Default is using our own Prometheus
+    prometheusSpec:
+      serviceMonitorSelectorNilUsesHelmValues: false # Select all service monitors
+      podMonitorSelectorNilUsesHelmValues: false # Select all pod monitors
+      probeSelectorNilUsesHelmValues: false # Select all pod monitors
+      ruleSelectorNilUsesHelmValues: false # Select all pod monitors
+      resources:
+        requests:
+          memory: 400Mi
+      scrapeInterval: 15s
+      enableAdminAPI: true
 
 
 ###
-# Prometheus
+# Theodolite's custom Prometheus
 ###
 prometheus: 
   enabled: true
   podMetadata: {}
   nodeSelector: {}
+  nodePort:
+    enabled: false
+    nodePort: 30900
   
   serviceAccount:
     enabled: true
   role:
     enabled: true
+    clusterRole: false
   roleBinding:
     enabled: true
+    clusterRoleBinding: false
 
 ###
 # Theodolite Operator
@@ -345,38 +252,46 @@ operator:
       uc1LoadGenerator: true
       uc1Kstreams: true
       uc1Flink: true
+      uc1Hazelcast: true
       uc1BeamFlink: true
       uc1BeamSamza: true
       uc2LoadGenerator: true
       uc2Kstreams: true
       uc2Flink: true
+      uc2Hazelcast: true
       uc2BeamFlink: true
       uc2BeamSamza: true
       uc3LoadGenerator: true
       uc3Kstreams: true
       uc3Flink: true
+      uc3Hazelcast: true
       uc3BeamFlink: true
       uc3BeamSamza: true
       uc4LoadGenerator: true
       uc4Kstreams: true
       uc4Flink: true
+      uc4Hazelcast: true
       uc4BeamFlink: true
       uc4BeamSamza: true
     benchmarks:
       uc1Kstreams: true
       uc1Flink: true
+      uc1Hazelcast: true
       uc1BeamFlink: true
       uc1BeamSamza: true
       uc2Kstreams: true
       uc2Flink: true
+      uc2Hazelcast: true
       uc2BeamFlink: true
       uc2BeamSamza: true
       uc3Kstreams: true
       uc3Flink: true
+      uc3Hazelcast: true
       uc3BeamFlink: true
       uc3BeamSamza: true
       uc4Kstreams: true
       uc4Flink: true
+      uc4Hazelcast: true
       uc4BeamFlink: true
       uc4BeamSamza: true
 
diff --git a/theodolite-benchmarks/README.md b/theodolite-benchmarks/README.md
index f794d201859b815fc26a4cbc7bd3be891c964ab4..d2a69992637cc8621d26653e78a38a6f9a6f55e1 100644
--- a/theodolite-benchmarks/README.md
+++ b/theodolite-benchmarks/README.md
@@ -1,7 +1,8 @@
 # Theodolite Benchmarks
 
-Theodolite comes with a set of 4 benchmarks for event-driven microservices, which are implemented with Kafka Streams
-and Apache Flink. The benchmarks are based on typical use cases for stream processing and named: UC1, UC2, UC3 and UC4.
+Theodolite comes with a set of 4 benchmarks for event-driven microservices, which are implemented with Kafka Streams, Apache Flink, Hazelcast Jet, and Apache Beam. For the Beam implementations, we support runners for Apache Samza and Apache Flink.
+The benchmarks are based on typical use cases for stream processing and named: UC1, UC2, UC3 and UC4.
+Additionally, we include a load generator for each benchmark.
 
 ## Building and packaging the benchmarks
 
diff --git a/theodolite-benchmarks/definitions/install-configmaps.sh b/theodolite-benchmarks/definitions/install-configmaps.sh
index e6630ca08154631a395c151fac376859fc885495..3f69119cf28b9bebf553f6ae06a57bf28f30429e 100755
--- a/theodolite-benchmarks/definitions/install-configmaps.sh
+++ b/theodolite-benchmarks/definitions/install-configmaps.sh
@@ -4,12 +4,12 @@ kubectl create configmap benchmark-resources-uc2-flink --from-file uc2-flink/res
 kubectl create configmap benchmark-resources-uc3-flink --from-file uc3-flink/resources
 kubectl create configmap benchmark-resources-uc4-flink --from-file uc4-flink/resources
 
+# Hazelcast Jet
 kubectl create configmap benchmark-resources-uc1-hazelcastjet --from-file uc1-hazelcastjet/resources
 kubectl create configmap benchmark-resources-uc2-hazelcastjet --from-file uc2-hazelcastjet/resources
 kubectl create configmap benchmark-resources-uc3-hazelcastjet --from-file uc3-hazelcastjet/resources
 kubectl create configmap benchmark-resources-uc4-hazelcastjet --from-file uc4-hazelcastjet/resources
 
-
 # Kafka Streams
 kubectl create configmap benchmark-resources-uc1-kstreams --from-file uc1-kstreams/resources
 kubectl create configmap benchmark-resources-uc2-kstreams --from-file uc2-kstreams/resources
diff --git a/theodolite-benchmarks/definitions/uc1-beam-flink/uc1-beam-flink-benchmark-operator.yaml b/theodolite-benchmarks/definitions/uc1-beam-flink/uc1-beam-flink-benchmark-operator.yaml
index 9c404da65307d3baf0423fe7af9809b55a1b64d8..12ef870fdc8e18f93fd83c689ca46b5d82c92201 100644
--- a/theodolite-benchmarks/definitions/uc1-beam-flink/uc1-beam-flink-benchmark-operator.yaml
+++ b/theodolite-benchmarks/definitions/uc1-beam-flink/uc1-beam-flink-benchmark-operator.yaml
@@ -2,6 +2,10 @@ apiVersion: theodolite.rocks/v1beta1
 kind: benchmark
 metadata:
   name: uc1-beam-flink
+  labels:
+    suite: theodolite-stream-processing
+    benchmark: uc1
+    sut: beam-flink
 spec:
   sut:
     resources:
@@ -55,6 +59,7 @@ spec:
       prometheusUrl: "http://prometheus-operated:9090"
       offset: 0
       properties:
+        consumerGroup: theodolite-uc1-application
         threshold: 2000
         externalSloUrl: "http://localhost:80/evaluate-slope"
         warmup: 60 # in seconds
diff --git a/theodolite-benchmarks/definitions/uc1-beam-samza/uc1-beam-samza-benchmark-operator.yaml b/theodolite-benchmarks/definitions/uc1-beam-samza/uc1-beam-samza-benchmark-operator.yaml
index c1e365ed32e31bf14f659ac30f32dbe3f6a9f911..615511caf2840c5b43b149d0c82daed0e62e111d 100644
--- a/theodolite-benchmarks/definitions/uc1-beam-samza/uc1-beam-samza-benchmark-operator.yaml
+++ b/theodolite-benchmarks/definitions/uc1-beam-samza/uc1-beam-samza-benchmark-operator.yaml
@@ -2,6 +2,10 @@ apiVersion: theodolite.rocks/v1beta1
 kind: benchmark
 metadata:
   name: uc1-beam-samza
+  labels:
+    suite: theodolite-stream-processing
+    benchmark: uc1
+    sut: beam-samza
 spec:
   sut:
     resources:
@@ -50,6 +54,7 @@ spec:
       prometheusUrl: "http://prometheus-operated:9090"
       offset: 0
       properties:
+        consumerGroup: theodolite-uc1-application
         threshold: 2000
         externalSloUrl: "http://localhost:80/evaluate-slope"
         warmup: 60 # in seconds
diff --git a/theodolite-benchmarks/definitions/uc1-flink/uc1-flink-benchmark-operator.yaml b/theodolite-benchmarks/definitions/uc1-flink/uc1-flink-benchmark-operator.yaml
index e4c558e12c7c3459676ec138ea4241c056656dc0..ca372f52fea462abdf1e28ef4d1f7b8d399ab896 100644
--- a/theodolite-benchmarks/definitions/uc1-flink/uc1-flink-benchmark-operator.yaml
+++ b/theodolite-benchmarks/definitions/uc1-flink/uc1-flink-benchmark-operator.yaml
@@ -2,6 +2,10 @@ apiVersion: theodolite.rocks/v1beta1
 kind: benchmark
 metadata:
   name: uc1-flink
+  labels:
+    suite: theodolite-stream-processing
+    benchmark: uc1
+    sut: flink
 spec:
   sut:
     resources:
@@ -55,6 +59,7 @@ spec:
       prometheusUrl: "http://prometheus-operated:9090"
       offset: 0
       properties:
+        consumerGroup: theodolite-uc1-application-0.0.1
         threshold: 2000
         externalSloUrl: "http://localhost:80/evaluate-slope"
         warmup: 60 # in seconds
diff --git a/theodolite-benchmarks/definitions/uc1-hazelcastjet/uc1-benchmark-operator.yaml b/theodolite-benchmarks/definitions/uc1-hazelcastjet/uc1-hazelcastjet-benchmark-operator.yaml
similarity index 92%
rename from theodolite-benchmarks/definitions/uc1-hazelcastjet/uc1-benchmark-operator.yaml
rename to theodolite-benchmarks/definitions/uc1-hazelcastjet/uc1-hazelcastjet-benchmark-operator.yaml
index 1ed58f97137e5093233773db875473d27e446fe6..9835950efe1c670c5518b6b11c17e9fcc1125ca5 100644
--- a/theodolite-benchmarks/definitions/uc1-hazelcastjet/uc1-benchmark-operator.yaml
+++ b/theodolite-benchmarks/definitions/uc1-hazelcastjet/uc1-hazelcastjet-benchmark-operator.yaml
@@ -2,6 +2,10 @@ apiVersion: theodolite.rocks/v1beta1
 kind: benchmark
 metadata:
   name: uc1-hazelcastjet
+  labels:
+    suite: theodolite-stream-processing
+    benchmark: uc1
+    sut: hazelcastjet
 spec:
   sut:
     resources:
@@ -40,6 +44,7 @@ spec:
       prometheusUrl: "http://prometheus-operated:9090"
       offset: 0
       properties:
+        consumerGroup: uc1-hazelcastjet
         threshold: 2000
         externalSloUrl: "http://localhost:80/evaluate-slope"
         warmup: 60 # in seconds
diff --git a/theodolite-benchmarks/definitions/uc1-kstreams/uc1-kstreams-benchmark-operator.yaml b/theodolite-benchmarks/definitions/uc1-kstreams/uc1-kstreams-benchmark-operator.yaml
index 961ef594b397a870e9ea7d48e6f8a3073672818e..6bda0c7da1ccf19ccf39917436a1b188152582db 100644
--- a/theodolite-benchmarks/definitions/uc1-kstreams/uc1-kstreams-benchmark-operator.yaml
+++ b/theodolite-benchmarks/definitions/uc1-kstreams/uc1-kstreams-benchmark-operator.yaml
@@ -2,6 +2,10 @@ apiVersion: theodolite.rocks/v1beta1
 kind: benchmark
 metadata:
   name: uc1-kstreams
+  labels:
+    suite: theodolite-stream-processing
+    benchmark: uc1
+    sut: kstreams
 spec:
   sut:
     resources:
@@ -42,6 +46,7 @@ spec:
       prometheusUrl: "http://prometheus-operated:9090"
       offset: 0
       properties:
+        consumerGroup: theodolite-uc1-application-0.0.1
         threshold: 2000
         externalSloUrl: "http://localhost:80/evaluate-slope"
         warmup: 60 # in seconds
diff --git a/theodolite-benchmarks/definitions/uc2-beam-flink/uc2-beam-flink-benchmark-operator.yaml b/theodolite-benchmarks/definitions/uc2-beam-flink/uc2-beam-flink-benchmark-operator.yaml
index c84212970855adcd239bf2253c5f0f02bd2933c9..8b34b41637e16bfc579e239524aba329a4138433 100644
--- a/theodolite-benchmarks/definitions/uc2-beam-flink/uc2-beam-flink-benchmark-operator.yaml
+++ b/theodolite-benchmarks/definitions/uc2-beam-flink/uc2-beam-flink-benchmark-operator.yaml
@@ -2,6 +2,10 @@ apiVersion: theodolite.rocks/v1beta1
 kind: benchmark
 metadata:
   name: uc2-beam-flink
+  labels:
+    suite: theodolite-stream-processing
+    benchmark: uc2
+    sut: beam-flink
 spec:
   sut:
     resources:
@@ -55,6 +59,7 @@ spec:
       prometheusUrl: "http://prometheus-operated:9090"
       offset: 0
       properties:
+        consumerGroup: theodolite-uc2-application
         threshold: 2000
         externalSloUrl: "http://localhost:80/evaluate-slope"
         warmup: 60 # in seconds
diff --git a/theodolite-benchmarks/definitions/uc2-beam-samza/uc2-beam-samza-benchmark-operator.yaml b/theodolite-benchmarks/definitions/uc2-beam-samza/uc2-beam-samza-benchmark-operator.yaml
index c12386a554ba5dd0500bec6f1d07668d5731ebbe..c385df649ae9d333ae6319631a3211cf441b48e5 100644
--- a/theodolite-benchmarks/definitions/uc2-beam-samza/uc2-beam-samza-benchmark-operator.yaml
+++ b/theodolite-benchmarks/definitions/uc2-beam-samza/uc2-beam-samza-benchmark-operator.yaml
@@ -2,6 +2,10 @@ apiVersion: theodolite.rocks/v1beta1
 kind: benchmark
 metadata:
   name: uc2-beam-samza
+  labels:
+    suite: theodolite-stream-processing
+    benchmark: uc2
+    sut: beam-samza
 spec:
   sut:
     resources:
@@ -50,6 +54,7 @@ spec:
       prometheusUrl: "http://prometheus-operated:9090"
       offset: 0
       properties:
+        consumerGroup: theodolite-uc2-application
         threshold: 2000
         externalSloUrl: "http://localhost:80/evaluate-slope"
         warmup: 60 # in seconds
diff --git a/theodolite-benchmarks/definitions/uc2-flink/uc2-flink-benchmark-operator.yaml b/theodolite-benchmarks/definitions/uc2-flink/uc2-flink-benchmark-operator.yaml
index bd06a1de373c9813bcf5a5723f82908f2e013349..9e89335dc81c87a6e8517eb14820fad3e8667a23 100644
--- a/theodolite-benchmarks/definitions/uc2-flink/uc2-flink-benchmark-operator.yaml
+++ b/theodolite-benchmarks/definitions/uc2-flink/uc2-flink-benchmark-operator.yaml
@@ -2,6 +2,10 @@ apiVersion: theodolite.rocks/v1beta1
 kind: benchmark
 metadata:
   name: uc2-flink
+  labels:
+    suite: theodolite-stream-processing
+    benchmark: uc2
+    sut: flink
 spec:
   sut:
     resources:
@@ -55,6 +59,7 @@ spec:
       prometheusUrl: "http://prometheus-operated:9090"
       offset: 0
       properties:
+        consumerGroup: theodolite-uc2-application-0.0.1
         threshold: 2000
         externalSloUrl: "http://localhost:80/evaluate-slope"
         warmup: 60 # in seconds
diff --git a/theodolite-benchmarks/definitions/uc2-hazelcastjet/uc2-benchmark-operator.yaml b/theodolite-benchmarks/definitions/uc2-hazelcastjet/uc2-hazelcastjet-benchmark-operator.yaml
similarity index 92%
rename from theodolite-benchmarks/definitions/uc2-hazelcastjet/uc2-benchmark-operator.yaml
rename to theodolite-benchmarks/definitions/uc2-hazelcastjet/uc2-hazelcastjet-benchmark-operator.yaml
index 199fd33666f546e6ad535fd767f714d721f631bb..0e26fc60ee848a3f9b2a63d8e3efdfa10e5c2b0a 100644
--- a/theodolite-benchmarks/definitions/uc2-hazelcastjet/uc2-benchmark-operator.yaml
+++ b/theodolite-benchmarks/definitions/uc2-hazelcastjet/uc2-hazelcastjet-benchmark-operator.yaml
@@ -2,6 +2,10 @@ apiVersion: theodolite.rocks/v1beta1
 kind: benchmark
 metadata:
   name: uc2-hazelcastjet
+  labels:
+    suite: theodolite-stream-processing
+    benchmark: uc2
+    sut: hazelcastjet
 spec:
   sut:
     resources:
@@ -40,6 +44,7 @@ spec:
       prometheusUrl: "http://prometheus-operated:9090"
       offset: 0
       properties:
+        consumerGroup: uc2-hazelcastjet
         threshold: 2000
         externalSloUrl: "http://localhost:80/evaluate-slope"
         warmup: 60 # in seconds
diff --git a/theodolite-benchmarks/definitions/uc2-kstreams/uc2-kstreams-benchmark-operator.yaml b/theodolite-benchmarks/definitions/uc2-kstreams/uc2-kstreams-benchmark-operator.yaml
index ccca867441508c57b5ee715e3705ff8f2081e964..0f522e58a46ebb8a9fe05b80bd1527bedc347134 100644
--- a/theodolite-benchmarks/definitions/uc2-kstreams/uc2-kstreams-benchmark-operator.yaml
+++ b/theodolite-benchmarks/definitions/uc2-kstreams/uc2-kstreams-benchmark-operator.yaml
@@ -2,6 +2,10 @@ apiVersion: theodolite.rocks/v1beta1
 kind: benchmark
 metadata:
   name: uc2-kstreams
+  labels:
+    suite: theodolite-stream-processing
+    benchmark: uc2
+    sut: kstreams
 spec:
   sut:
     resources:
@@ -42,6 +46,7 @@ spec:
       prometheusUrl: "http://prometheus-operated:9090"
       offset: 0
       properties:
+        consumerGroup: theodolite-uc2-application-0.0.1
         threshold: 2000
         externalSloUrl: "http://localhost:80/evaluate-slope"
         warmup: 60 # in seconds
diff --git a/theodolite-benchmarks/definitions/uc3-beam-flink/uc3-beam-flink-benchmark-operator.yaml b/theodolite-benchmarks/definitions/uc3-beam-flink/uc3-beam-flink-benchmark-operator.yaml
index 017d1fa55ac80cf40f8d4241602c107f289bda2c..0250e735442a997edb3511500b5a7ec136827394 100644
--- a/theodolite-benchmarks/definitions/uc3-beam-flink/uc3-beam-flink-benchmark-operator.yaml
+++ b/theodolite-benchmarks/definitions/uc3-beam-flink/uc3-beam-flink-benchmark-operator.yaml
@@ -2,6 +2,10 @@ apiVersion: theodolite.rocks/v1beta1
 kind: benchmark
 metadata:
   name: uc3-beam-flink
+  labels:
+    suite: theodolite-stream-processing
+    benchmark: uc3
+    sut: beam-flink
 spec:
   sut:
     resources:
@@ -55,6 +59,7 @@ spec:
       prometheusUrl: "http://prometheus-operated:9090"
       offset: 0
       properties:
+        consumerGroup: theodolite-uc3-application
         threshold: 2000
         externalSloUrl: "http://localhost:80/evaluate-slope"
         warmup: 60 # in seconds
diff --git a/theodolite-benchmarks/definitions/uc3-beam-samza/uc3-beam-samza-benchmark-operator.yaml b/theodolite-benchmarks/definitions/uc3-beam-samza/uc3-beam-samza-benchmark-operator.yaml
index baed76a02b0f0db98b4fd6b0debf82dd7d42d7a8..6fde25874d9a0e23fab4b21ef927ba12920aab45 100644
--- a/theodolite-benchmarks/definitions/uc3-beam-samza/uc3-beam-samza-benchmark-operator.yaml
+++ b/theodolite-benchmarks/definitions/uc3-beam-samza/uc3-beam-samza-benchmark-operator.yaml
@@ -2,6 +2,10 @@ apiVersion: theodolite.rocks/v1beta1
 kind: benchmark
 metadata:
   name: uc3-beam-samza
+  labels:
+    suite: theodolite-stream-processing
+    benchmark: uc3
+    sut: beam-samza
 spec:
   sut:
     resources:
@@ -50,6 +54,7 @@ spec:
       prometheusUrl: "http://prometheus-operated:9090"
       offset: 0
       properties:
+        consumerGroup: theodolite-uc3-application
         threshold: 2000
         externalSloUrl: "http://localhost:80/evaluate-slope"
         warmup: 60 # in seconds
diff --git a/theodolite-benchmarks/definitions/uc3-flink/uc3-flink-benchmark-operator.yaml b/theodolite-benchmarks/definitions/uc3-flink/uc3-flink-benchmark-operator.yaml
index 4d0e0122ae64bcc5e93c73b9f9dee4647a54485c..d7b12e708dcd4f376a51207550411c089b367d01 100644
--- a/theodolite-benchmarks/definitions/uc3-flink/uc3-flink-benchmark-operator.yaml
+++ b/theodolite-benchmarks/definitions/uc3-flink/uc3-flink-benchmark-operator.yaml
@@ -2,6 +2,10 @@ apiVersion: theodolite.rocks/v1beta1
 kind: benchmark
 metadata:
   name: uc3-flink
+  labels:
+    suite: theodolite-stream-processing
+    benchmark: uc3
+    sut: flink
 spec:
   sut:
     resources:
@@ -55,6 +59,7 @@ spec:
       prometheusUrl: "http://prometheus-operated:9090"
       offset: 0
       properties:
+        consumerGroup: theodolite-uc3-application-0.0.1
         threshold: 2000
         externalSloUrl: "http://localhost:80/evaluate-slope"
         warmup: 60 # in seconds
diff --git a/theodolite-benchmarks/definitions/uc3-hazelcastjet/uc3-benchmark-operator.yaml b/theodolite-benchmarks/definitions/uc3-hazelcastjet/uc3-hazelcastjet-benchmark-operator.yaml
similarity index 92%
rename from theodolite-benchmarks/definitions/uc3-hazelcastjet/uc3-benchmark-operator.yaml
rename to theodolite-benchmarks/definitions/uc3-hazelcastjet/uc3-hazelcastjet-benchmark-operator.yaml
index 7062823219bd2d1cc6388b9453e636028a74a106..33a37157df3753dea4eca266fd48c36394ef8e64 100644
--- a/theodolite-benchmarks/definitions/uc3-hazelcastjet/uc3-benchmark-operator.yaml
+++ b/theodolite-benchmarks/definitions/uc3-hazelcastjet/uc3-hazelcastjet-benchmark-operator.yaml
@@ -2,6 +2,10 @@ apiVersion: theodolite.rocks/v1beta1
 kind: benchmark
 metadata:
   name: uc3-hazelcastjet
+  labels:
+    suite: theodolite-stream-processing
+    benchmark: uc3
+    sut: hazelcastjet
 spec:
   sut:
     resources:
@@ -40,6 +44,7 @@ spec:
       prometheusUrl: "http://prometheus-operated:9090"
       offset: 0
       properties:
+        consumerGroup: uc3-hazelcastjet
         threshold: 2000
         externalSloUrl: "http://localhost:80/evaluate-slope"
         warmup: 60 # in seconds
diff --git a/theodolite-benchmarks/definitions/uc3-kstreams/uc3-kstreams-benchmark-operator.yaml b/theodolite-benchmarks/definitions/uc3-kstreams/uc3-kstreams-benchmark-operator.yaml
index 967f198bf578d708ffe88cf01157fe18dce0ab46..2da70b476843dbcbb6587ecd370151d6852ce856 100644
--- a/theodolite-benchmarks/definitions/uc3-kstreams/uc3-kstreams-benchmark-operator.yaml
+++ b/theodolite-benchmarks/definitions/uc3-kstreams/uc3-kstreams-benchmark-operator.yaml
@@ -2,6 +2,10 @@ apiVersion: theodolite.rocks/v1beta1
 kind: benchmark
 metadata:
   name: uc3-kstreams
+  labels:
+    suite: theodolite-stream-processing
+    benchmark: uc3
+    sut: kstreams
 spec:
   sut:
     resources:
@@ -42,6 +46,7 @@ spec:
       prometheusUrl: "http://prometheus-operated:9090"
       offset: 0
       properties:
+        consumerGroup: theodolite-uc3-application-0.0.1
         threshold: 2000
         externalSloUrl: "http://localhost:80/evaluate-slope"
         warmup: 60 # in seconds
diff --git a/theodolite-benchmarks/definitions/uc4-beam-flink/uc4-beam-flink-benchmark-operator.yaml b/theodolite-benchmarks/definitions/uc4-beam-flink/uc4-beam-flink-benchmark-operator.yaml
index d35907c5bde53b2923482a8ba4e8903e9b96b562..aab7d75588266c68fcc6484bd8f588038c7cd820 100644
--- a/theodolite-benchmarks/definitions/uc4-beam-flink/uc4-beam-flink-benchmark-operator.yaml
+++ b/theodolite-benchmarks/definitions/uc4-beam-flink/uc4-beam-flink-benchmark-operator.yaml
@@ -2,6 +2,10 @@ apiVersion: theodolite.rocks/v1beta1
 kind: benchmark
 metadata:
   name: uc4-beam-flink
+  labels:
+    suite: theodolite-stream-processing
+    benchmark: uc4
+    sut: beam-flink
 spec:
   sut:
     resources:
@@ -56,6 +60,7 @@ spec:
       prometheusUrl: "http://prometheus-operated:9090"
       offset: 0
       properties:
+        consumerGroup: theodolite-uc4-application
         threshold: 2000
         externalSloUrl: "http://localhost:80/evaluate-slope"
         warmup: 60 # in seconds
diff --git a/theodolite-benchmarks/definitions/uc4-beam-samza/uc4-beam-samza-benchmark-operator.yaml b/theodolite-benchmarks/definitions/uc4-beam-samza/uc4-beam-samza-benchmark-operator.yaml
index 280e2ccd1d7706089dc10ca3350f238e49f6a2ee..b07976d82d70157d5f8ff1e7ecf498168f12a269 100644
--- a/theodolite-benchmarks/definitions/uc4-beam-samza/uc4-beam-samza-benchmark-operator.yaml
+++ b/theodolite-benchmarks/definitions/uc4-beam-samza/uc4-beam-samza-benchmark-operator.yaml
@@ -2,6 +2,10 @@ apiVersion: theodolite.rocks/v1beta1
 kind: benchmark
 metadata:
   name: uc4-beam-samza
+  labels:
+    suite: theodolite-stream-processing
+    benchmark: uc4
+    sut: beam-samza
 spec:
   sut:
     resources:
@@ -51,6 +55,7 @@ spec:
       prometheusUrl: "http://prometheus-operated:9090"
       offset: 0
       properties:
+        consumerGroup: theodolite-uc4-application
         threshold: 2000
         externalSloUrl: "http://localhost:80/evaluate-slope"
         warmup: 60 # in seconds
diff --git a/theodolite-benchmarks/definitions/uc4-flink/uc4-flink-benchmark-operator.yaml b/theodolite-benchmarks/definitions/uc4-flink/uc4-flink-benchmark-operator.yaml
index 41e6da810e4eda8556f26c0089093f16b65f1fb7..dd90e517f16995db1dcef53ce911c493b58f6775 100644
--- a/theodolite-benchmarks/definitions/uc4-flink/uc4-flink-benchmark-operator.yaml
+++ b/theodolite-benchmarks/definitions/uc4-flink/uc4-flink-benchmark-operator.yaml
@@ -2,6 +2,10 @@ apiVersion: theodolite.rocks/v1beta1
 kind: benchmark
 metadata:
   name: uc4-flink
+  labels:
+    suite: theodolite-stream-processing
+    benchmark: uc4
+    sut: flink
 spec:
   sut:
     resources:
@@ -56,6 +60,7 @@ spec:
       prometheusUrl: "http://prometheus-operated:9090"
       offset: 0
       properties:
+        consumerGroup: theodolite-uc4-application-0.0.1
         threshold: 2000
         externalSloUrl: "http://localhost:80/evaluate-slope"
         warmup: 60 # in seconds
diff --git a/theodolite-benchmarks/definitions/uc4-hazelcastjet/uc4-benchmark-operator.yaml b/theodolite-benchmarks/definitions/uc4-hazelcastjet/uc4-hazelcastjet-benchmark-operator.yaml
similarity index 93%
rename from theodolite-benchmarks/definitions/uc4-hazelcastjet/uc4-benchmark-operator.yaml
rename to theodolite-benchmarks/definitions/uc4-hazelcastjet/uc4-hazelcastjet-benchmark-operator.yaml
index bf94eb2f88720fc833ba752bbf0353a8c10e8bc0..79c0fdbf7f674f45d5531819cf214f0bc3f07d1c 100644
--- a/theodolite-benchmarks/definitions/uc4-hazelcastjet/uc4-benchmark-operator.yaml
+++ b/theodolite-benchmarks/definitions/uc4-hazelcastjet/uc4-hazelcastjet-benchmark-operator.yaml
@@ -2,6 +2,10 @@ apiVersion: theodolite.rocks/v1beta1
 kind: benchmark
 metadata:
   name: uc4-hazelcastjet
+  labels:
+    suite: theodolite-stream-processing
+    benchmark: uc4
+    sut: hazelcastjet
 spec:
   sut:
     resources:
@@ -41,6 +45,7 @@ spec:
       prometheusUrl: "http://prometheus-operated:9090"
       offset: 0
       properties:
+        consumerGroup: uc4-hazelcastjet
         threshold: 2000
         externalSloUrl: "http://localhost:80/evaluate-slope"
         warmup: 60 # in seconds
diff --git a/theodolite-benchmarks/definitions/uc4-kstreams/uc4-kstreams-benchmark-operator.yaml b/theodolite-benchmarks/definitions/uc4-kstreams/uc4-kstreams-benchmark-operator.yaml
index 59da7d95372e91b7e429a103071157fb80ba347c..7c656988f5d7f3c2f0ef3932b4459be8d97f8cb8 100644
--- a/theodolite-benchmarks/definitions/uc4-kstreams/uc4-kstreams-benchmark-operator.yaml
+++ b/theodolite-benchmarks/definitions/uc4-kstreams/uc4-kstreams-benchmark-operator.yaml
@@ -2,6 +2,10 @@ apiVersion: theodolite.rocks/v1beta1
 kind: benchmark
 metadata:
   name: uc4-kstreams
+  labels:
+    suite: theodolite-stream-processing
+    benchmark: uc4
+    sut: kstreams
 spec:
   sut:
     resources:
@@ -43,6 +47,7 @@ spec:
       prometheusUrl: "http://prometheus-operated:9090"
       offset: 0
       properties:
+        consumerGroup: theodolite-uc4-application-0.0.1
         threshold: 2000
         externalSloUrl: "http://localhost:80/evaluate-slope"
         warmup: 60 # in seconds
diff --git a/theodolite-benchmarks/uc3-kstreams/src/main/java/rocks/theodolite/benchmarks/uc3/kstreams/HistoryService.java b/theodolite-benchmarks/uc3-kstreams/src/main/java/rocks/theodolite/benchmarks/uc3/kstreams/HistoryService.java
index 8776fcda3092d8282f6ab85f69c734bf834a2bcc..2151d0be487d89f23b3bb170a95ff60270948841 100644
--- a/theodolite-benchmarks/uc3-kstreams/src/main/java/rocks/theodolite/benchmarks/uc3/kstreams/HistoryService.java
+++ b/theodolite-benchmarks/uc3-kstreams/src/main/java/rocks/theodolite/benchmarks/uc3/kstreams/HistoryService.java
@@ -34,7 +34,7 @@ public class HistoryService {
     final Uc3KafkaStreamsBuilder uc3KafkaStreamsBuilder = new Uc3KafkaStreamsBuilder(this.config);
     uc3KafkaStreamsBuilder
         .outputTopic(this.config.getString(ConfigurationKeys.KAFKA_OUTPUT_TOPIC))
-        .aggregtionDuration(
+        .aggregationDuration(
             Duration.ofDays(this.config.getInt(ConfigurationKeys.AGGREGATION_DURATION_DAYS)))
         .aggregationAdvance(
             Duration.ofDays(this.config.getInt(ConfigurationKeys.AGGREGATION_ADVANCE_DAYS)));
diff --git a/theodolite-benchmarks/uc3-kstreams/src/main/java/rocks/theodolite/benchmarks/uc3/kstreams/TopologyBuilder.java b/theodolite-benchmarks/uc3-kstreams/src/main/java/rocks/theodolite/benchmarks/uc3/kstreams/TopologyBuilder.java
index f2825ca81f69b5a70e883dcf034c51093745221d..d6e000d815b0871e065af4a71d89d0e19949e73c 100644
--- a/theodolite-benchmarks/uc3-kstreams/src/main/java/rocks/theodolite/benchmarks/uc3/kstreams/TopologyBuilder.java
+++ b/theodolite-benchmarks/uc3-kstreams/src/main/java/rocks/theodolite/benchmarks/uc3/kstreams/TopologyBuilder.java
@@ -34,7 +34,7 @@ public class TopologyBuilder {
   private final String inputTopic;
   private final String outputTopic;
   private final SchemaRegistryAvroSerdeFactory srAvroSerdeFactory;
-  private final Duration aggregtionDuration;
+  private final Duration aggregationDuration;
   private final Duration aggregationAdvance;
 
   private final StreamsBuilder builder = new StreamsBuilder();
@@ -44,11 +44,11 @@ public class TopologyBuilder {
    */
   public TopologyBuilder(final String inputTopic, final String outputTopic,
       final SchemaRegistryAvroSerdeFactory srAvroSerdeFactory,
-      final Duration aggregtionDuration, final Duration aggregationAdvance) {
+      final Duration aggregationDuration, final Duration aggregationAdvance) {
     this.inputTopic = inputTopic;
     this.outputTopic = outputTopic;
     this.srAvroSerdeFactory = srAvroSerdeFactory;
-    this.aggregtionDuration = aggregtionDuration;
+    this.aggregationDuration = aggregationDuration;
     this.aggregationAdvance = aggregationAdvance;
   }
 
@@ -70,7 +70,7 @@ public class TopologyBuilder {
         })
         .groupByKey(Grouped.with(keySerde, this.srAvroSerdeFactory.forValues()))
         .windowedBy(TimeWindows
-            .ofSizeWithNoGrace(this.aggregtionDuration)
+            .ofSizeWithNoGrace(this.aggregationDuration)
             .advanceBy(this.aggregationAdvance))
         .aggregate(
             () -> Stats.of(),
diff --git a/theodolite-benchmarks/uc3-kstreams/src/main/java/rocks/theodolite/benchmarks/uc3/kstreams/Uc3KafkaStreamsBuilder.java b/theodolite-benchmarks/uc3-kstreams/src/main/java/rocks/theodolite/benchmarks/uc3/kstreams/Uc3KafkaStreamsBuilder.java
index e05b30f75a3a1e01f132e56595e50297160c5c66..d4e55884abac492a76ea73c4a71a2309da0b6d00 100644
--- a/theodolite-benchmarks/uc3-kstreams/src/main/java/rocks/theodolite/benchmarks/uc3/kstreams/Uc3KafkaStreamsBuilder.java
+++ b/theodolite-benchmarks/uc3-kstreams/src/main/java/rocks/theodolite/benchmarks/uc3/kstreams/Uc3KafkaStreamsBuilder.java
@@ -14,7 +14,7 @@ import rocks.theodolite.benchmarks.commons.kstreams.KafkaStreamsBuilder;
 public class Uc3KafkaStreamsBuilder extends KafkaStreamsBuilder {
 
   private String outputTopic; // NOPMD
-  private Duration aggregtionDuration; // NOPMD
+  private Duration aggregationDuration; // NOPMD
   private Duration aggregationAdvance; // NOPMD
 
   public Uc3KafkaStreamsBuilder(final Configuration config) {
@@ -26,8 +26,8 @@ public class Uc3KafkaStreamsBuilder extends KafkaStreamsBuilder {
     return this;
   }
 
-  public Uc3KafkaStreamsBuilder aggregtionDuration(final Duration aggregtionDuration) {
-    this.aggregtionDuration = aggregtionDuration;
+  public Uc3KafkaStreamsBuilder aggregationDuration(final Duration aggregationDuration) {
+    this.aggregationDuration = aggregationDuration;
     return this;
   }
 
@@ -40,14 +40,14 @@ public class Uc3KafkaStreamsBuilder extends KafkaStreamsBuilder {
   protected Topology buildTopology(final Properties properties) {
     Objects.requireNonNull(this.inputTopic, "Input topic has not been set.");
     Objects.requireNonNull(this.outputTopic, "Output topic has not been set.");
-    Objects.requireNonNull(this.aggregtionDuration, "Aggregation duration has not been set.");
+    Objects.requireNonNull(this.aggregationDuration, "Aggregation duration has not been set.");
     Objects.requireNonNull(this.aggregationAdvance, "Aggregation advance period has not been set.");
 
     final TopologyBuilder topologyBuilder = new TopologyBuilder(
         this.inputTopic,
         this.outputTopic,
         new SchemaRegistryAvroSerdeFactory(this.schemaRegistryUrl),
-        this.aggregtionDuration,
+        this.aggregationDuration,
         this.aggregationAdvance);
 
     return topologyBuilder.build(properties);
diff --git a/theodolite/src/main/kotlin/rocks/theodolite/core/Results.kt b/theodolite/src/main/kotlin/rocks/theodolite/core/Results.kt
index 16e6b517e1f570fd17a1b9688aff4f41ec8c9884..20b7edfd089c95af7911c72613bb6ca55703173e 100644
--- a/theodolite/src/main/kotlin/rocks/theodolite/core/Results.kt
+++ b/theodolite/src/main/kotlin/rocks/theodolite/core/Results.kt
@@ -58,13 +58,14 @@ class Results (val metric: Metric) {
     /**
      * Get the result for an experiment.
      *
-     * @param experiment A pair that identifies the experiment by the Load and Resource.
+     * @param load Load that identifies the experiment.
+     * @param resources Resource that identify the experiment.
      * @return true if the experiment was successful and false otherwise. If the result has not been reported so far,
      * null is returned.
      *
      */
-    fun getResult(experiment: Pair<Int, Int>): Boolean? {
-        return this.results[experiment]
+    fun getResult(load: Int, resources: Int): Boolean? {
+        return this.results[Pair(load, resources)]
     }
 
     /**
diff --git a/theodolite/src/main/kotlin/rocks/theodolite/core/strategies/restrictionstrategy/LowerBoundRestriction.kt b/theodolite/src/main/kotlin/rocks/theodolite/core/strategies/restrictionstrategy/LowerBoundRestriction.kt
index 2e5a51018fd742abbb18edb1d788a6644e94d2f1..a1f58b777b7ff8798ac058bac8aee18c5a1dc35a 100644
--- a/theodolite/src/main/kotlin/rocks/theodolite/core/strategies/restrictionstrategy/LowerBoundRestriction.kt
+++ b/theodolite/src/main/kotlin/rocks/theodolite/core/strategies/restrictionstrategy/LowerBoundRestriction.kt
@@ -1,6 +1,7 @@
 package rocks.theodolite.core.strategies.restrictionstrategy
 
 import rocks.theodolite.core.Results
+import java.util.*
 
 /**
  * The [LowerBoundRestriction] sets the lower bound of the resources to be examined in the experiment to the value
@@ -13,11 +14,10 @@ import rocks.theodolite.core.Results
 class LowerBoundRestriction(results: Results) : RestrictionStrategy(results) {
 
     override fun apply(xValue: Int, yValues: List<Int>): List<Int> {
-        val maxXValue: Int? = this.results.getMaxBenchmarkedXDimensionValue(xValue)
-        var lowerBound: Int? = this.results.getOptYDimensionValue(maxXValue)
-        if (lowerBound == null) {
-            lowerBound = yValues[0]
-        }
+        // Get previous largest x value or return full list
+        val maxXValue = this.results.getMaxBenchmarkedXDimensionValue(xValue) ?: return yValues.toList()
+        // Get previous largest y value or restrict to empty list
+        val lowerBound: Int = this.results.getOptYDimensionValue(maxXValue) ?: return listOf()
         return yValues.filter { x -> x >= lowerBound }
     }
 
diff --git a/theodolite/src/main/kotlin/rocks/theodolite/kubernetes/operator/ExecutionStateHandler.kt b/theodolite/src/main/kotlin/rocks/theodolite/kubernetes/operator/ExecutionStateHandler.kt
index 6264b574d2be297865fab3b2a4d020bc57c56678..cb3dca8a6389e0db4c064e0d65929daab5cebc90 100644
--- a/theodolite/src/main/kotlin/rocks/theodolite/kubernetes/operator/ExecutionStateHandler.kt
+++ b/theodolite/src/main/kotlin/rocks/theodolite/kubernetes/operator/ExecutionStateHandler.kt
@@ -4,7 +4,7 @@ import io.fabric8.kubernetes.api.model.MicroTime
 import io.fabric8.kubernetes.client.NamespacedKubernetesClient
 import rocks.theodolite.kubernetes.model.crd.ExecutionCRD
 import rocks.theodolite.kubernetes.model.crd.ExecutionState
-import java.lang.Thread.sleep
+import java.util.concurrent.TimeUnit.SECONDS
 import java.time.Instant
 import java.util.concurrent.atomic.AtomicBoolean
 
@@ -41,7 +41,7 @@ class ExecutionStateHandler(val client: NamespacedKubernetesClient) :
         Thread {
             while (this.runExecutionDurationTimer.get()) {
                 updateDurationState(resourceName)
-                sleep(100 * 1)
+                SECONDS.sleep(1)
             }
         }.start()
     }
@@ -50,6 +50,6 @@ class ExecutionStateHandler(val client: NamespacedKubernetesClient) :
     fun stopDurationStateTimer(resourceName: String) {
         super.setState(resourceName) { cr -> cr.status.completionTime = MicroTime(Instant.now().toString()); cr }
         this.runExecutionDurationTimer.set(false)
-        sleep(100 * 2)
+        SECONDS.sleep(2)
     }
 }
\ No newline at end of file
diff --git a/theodolite/src/main/kotlin/rocks/theodolite/kubernetes/slo/ExternalSloChecker.kt b/theodolite/src/main/kotlin/rocks/theodolite/kubernetes/slo/ExternalSloChecker.kt
index 3a76fa7c0d9511b8989d3e444cbefe5c8a50b285..7458530ab09408ddef789ac5207caba18bac74ab 100644
--- a/theodolite/src/main/kotlin/rocks/theodolite/kubernetes/slo/ExternalSloChecker.kt
+++ b/theodolite/src/main/kotlin/rocks/theodolite/kubernetes/slo/ExternalSloChecker.kt
@@ -2,7 +2,6 @@ package rocks.theodolite.kubernetes.slo
 
 import khttp.post
 import mu.KotlinLogging
-import rocks.theodolite.kubernetes.util.PrometheusResponse
 import java.net.ConnectException
 
 /**
@@ -23,7 +22,7 @@ class ExternalSloChecker(
     /**
      * Evaluates an experiment using an external service.
      * Will try to reach the external service until success or [RETRIES] times.
-     * Each request will timeout after [TIMEOUT].
+     * Each request will time out after [TIMEOUT].
      *
      * @param fetchedData that should be evaluated
      * @return true if the experiment was successful (the threshold was not exceeded).
diff --git a/theodolite/src/main/kotlin/rocks/theodolite/kubernetes/slo/MetricFetcher.kt b/theodolite/src/main/kotlin/rocks/theodolite/kubernetes/slo/MetricFetcher.kt
index 962564475d0ad0b56bad8cf99daf12329950eaf3..58c83909ae6f7d8b87ceab2bbb6a2977ec8c470a 100644
--- a/theodolite/src/main/kotlin/rocks/theodolite/kubernetes/slo/MetricFetcher.kt
+++ b/theodolite/src/main/kotlin/rocks/theodolite/kubernetes/slo/MetricFetcher.kt
@@ -4,7 +4,6 @@ import com.google.gson.Gson
 import khttp.get
 import khttp.responses.Response
 import mu.KotlinLogging
-import rocks.theodolite.kubernetes.util.PrometheusResponse
 import java.net.ConnectException
 import java.time.Duration
 import java.time.Instant
diff --git a/theodolite/src/main/kotlin/rocks/theodolite/kubernetes/slo/PrometheusResponse.kt b/theodolite/src/main/kotlin/rocks/theodolite/kubernetes/slo/PrometheusResponse.kt
index 7a3ac237a88390f85b9d49d3f8eba7447621f0f0..fce39a5a88ee746c0926c368b694c3cca85974f0 100644
--- a/theodolite/src/main/kotlin/rocks/theodolite/kubernetes/slo/PrometheusResponse.kt
+++ b/theodolite/src/main/kotlin/rocks/theodolite/kubernetes/slo/PrometheusResponse.kt
@@ -1,4 +1,4 @@
-package rocks.theodolite.kubernetes.util
+package rocks.theodolite.kubernetes.slo
 
 import io.quarkus.runtime.annotations.RegisterForReflection
 import java.util.*
diff --git a/theodolite/src/main/kotlin/rocks/theodolite/kubernetes/slo/SloChecker.kt b/theodolite/src/main/kotlin/rocks/theodolite/kubernetes/slo/SloChecker.kt
index f4ac163547421d5f0f07d2511c2e3eeeebdb35b0..af0483bd76117d4413da2f07869512e97fe314ad 100644
--- a/theodolite/src/main/kotlin/rocks/theodolite/kubernetes/slo/SloChecker.kt
+++ b/theodolite/src/main/kotlin/rocks/theodolite/kubernetes/slo/SloChecker.kt
@@ -1,7 +1,5 @@
 package rocks.theodolite.kubernetes.slo
 
-import rocks.theodolite.kubernetes.util.PrometheusResponse
-
 /**
  * A SloChecker can be used to evaluate data from Prometheus.
  * @constructor Creates an empty SloChecker
diff --git a/theodolite/src/main/kotlin/rocks/theodolite/kubernetes/slo/SloConfigHandler.kt b/theodolite/src/main/kotlin/rocks/theodolite/kubernetes/slo/SloConfigHandler.kt
index ed18e4a0b4027ce4284cc83ff4c9520738ec2ba7..8bfe86fb56b9a1a7ab863af60864a4c226802397 100644
--- a/theodolite/src/main/kotlin/rocks/theodolite/kubernetes/slo/SloConfigHandler.kt
+++ b/theodolite/src/main/kotlin/rocks/theodolite/kubernetes/slo/SloConfigHandler.kt
@@ -19,8 +19,8 @@ class SloConfigHandler {
                         "sum by(consumergroup) ($DEFAULT_CONSUMER_LAG_METRIC_BASE$it >= 0)"
                     }
                 SloTypes.DROPPED_RECORDS.value, SloTypes.DROPPED_RECORDS_RATIO.value -> slo.properties["promQLQuery"] ?: DEFAULT_DROPPED_RECORDS_QUERY
-                SloTypes.LAG_TREND.value, SloTypes.LAG_TREND_RATIO.value -> slo.properties["promQLQuery"] ?: DEFAULT_CONSUMER_LAG_QUERY
-                SloTypes.DROPPED_RECORDS.value, SloTypes.DROPPED_RECORDS_RATIO.value -> slo.properties["promQLQuery"] ?: DEFAULT_DROPPED_RECORDS_QUERY
+                SloTypes.LAG_TREND.value, SloTypes.LAG_TREND_RATIO.value -> slo.properties["promQLQuery"] ?: DEFAULT_CONSUMER_LAG_QUERY // TODO reachable?
+                SloTypes.DROPPED_RECORDS.value, SloTypes.DROPPED_RECORDS_RATIO.value -> slo.properties["promQLQuery"] ?: DEFAULT_DROPPED_RECORDS_QUERY // TODO reachable?
                 else -> throw  InvalidPatcherConfigurationException("Could not find Prometheus query string for slo type ${slo.sloType}")
             }
         }
diff --git a/theodolite/src/main/kotlin/rocks/theodolite/kubernetes/slo/SloJson.kt b/theodolite/src/main/kotlin/rocks/theodolite/kubernetes/slo/SloJson.kt
index 653ad6b5f998014a0f5b9e8b7397bcd3ce51f729..d91696ee98eac26325e88b58efeda1c47355b197 100644
--- a/theodolite/src/main/kotlin/rocks/theodolite/kubernetes/slo/SloJson.kt
+++ b/theodolite/src/main/kotlin/rocks/theodolite/kubernetes/slo/SloJson.kt
@@ -1,7 +1,6 @@
 package rocks.theodolite.kubernetes.slo
 
 import com.google.gson.Gson
-import rocks.theodolite.kubernetes.util.PromResult
 
 class SloJson constructor(
     val results: List<List<PromResult>>,
diff --git a/theodolite/src/test/kotlin/rocks/theodolite/core/ResultsHelper.kt b/theodolite/src/test/kotlin/rocks/theodolite/core/ResultsHelper.kt
new file mode 100644
index 0000000000000000000000000000000000000000..63b44352cccb3dfc8afe69797a850c781ef46c66
--- /dev/null
+++ b/theodolite/src/test/kotlin/rocks/theodolite/core/ResultsHelper.kt
@@ -0,0 +1,13 @@
+package rocks.theodolite.core
+
+import rocks.theodolite.core.strategies.Metric
+
+fun createResultsFromArray(array: Array<Array<Boolean>>, metric: Metric): Results {
+    val results = Results(metric)
+    for (load in array.indices) {
+        for (resources in array[load].indices) {
+            results.setResult(Pair(load + 1, resources + 1), array[load][resources])
+        }
+    }
+    return results
+}
diff --git a/theodolite/src/test/kotlin/rocks/theodolite/core/ResultsTest.kt b/theodolite/src/test/kotlin/rocks/theodolite/core/ResultsTest.kt
index 42bc5883f7ebc50c5dde01555b034433b8fa055e..b0e9ca9e58f7cefe9222f3ba034a4966886aef80 100644
--- a/theodolite/src/test/kotlin/rocks/theodolite/core/ResultsTest.kt
+++ b/theodolite/src/test/kotlin/rocks/theodolite/core/ResultsTest.kt
@@ -11,7 +11,7 @@ internal class ResultsTest {
 
     @Test
     fun testMinRequiredInstancesWhenSuccessfulDemand() {
-        val results = Results(Metric.from("demand"))
+        val results = Results(Metric.DEMAND)
         results.setResult(Pair(10000, 1), true)
         results.setResult(Pair(10000, 2), true)
         results.setResult(Pair(20000, 1), false)
@@ -25,7 +25,7 @@ internal class ResultsTest {
 
     @Test
     fun testGetMaxBenchmarkedLoadWhenAllSuccessfulDemand() {
-        val results = Results(Metric.from("demand"))
+        val results = Results(Metric.DEMAND)
         results.setResult(Pair(10000, 1), true)
         results.setResult(Pair(10000, 2), true)
 
@@ -37,7 +37,7 @@ internal class ResultsTest {
 
     @Test
     fun testGetMaxBenchmarkedLoadWhenLargestNotSuccessfulDemand() {
-        val results = Results(Metric.from("demand"))
+        val results = Results(Metric.DEMAND)
         results.setResult(Pair(10000, 1), true)
         results.setResult(Pair(10000, 2), true)
         results.setResult(Pair(20000, 1), false)
@@ -50,7 +50,7 @@ internal class ResultsTest {
 
     @Test
     fun testMaxRequiredInstancesWhenSuccessfulCapacity() {
-        val results = Results(Metric.from("capacity"))
+        val results = Results(Metric.CAPACITY)
         results.setResult(Pair(10000, 1), true)
         results.setResult(Pair(20000, 1), false)
         results.setResult(Pair(10000, 2), true)
@@ -64,7 +64,7 @@ internal class ResultsTest {
 
     @Test
     fun testGetMaxBenchmarkedLoadWhenAllSuccessfulCapacity() {
-        val results = Results(Metric.from("capacity"))
+        val results = Results(Metric.CAPACITY)
         results.setResult(Pair(10000, 1), true)
         results.setResult(Pair(10000, 2), true)
 
@@ -76,7 +76,7 @@ internal class ResultsTest {
 
     @Test
     fun testGetMaxBenchmarkedLoadWhenLargestNotSuccessfulCapacity() {
-        val results = Results(Metric.from("capacity"))
+        val results = Results(Metric.CAPACITY)
         results.setResult(Pair(10000, 1), true)
         results.setResult(Pair(20000, 1), true)
         results.setResult(Pair(10000, 2), false)
diff --git a/theodolite/src/test/kotlin/rocks/theodolite/core/strategies/restrictionstrategy/LowerBoundRestrictionTest.kt b/theodolite/src/test/kotlin/rocks/theodolite/core/strategies/restrictionstrategy/LowerBoundRestrictionTest.kt
index 79fadb4867a155ee7b4dc86e4bb165947a4f15a4..1e847bee725e27fe44e4156f83254c28508af170 100644
--- a/theodolite/src/test/kotlin/rocks/theodolite/core/strategies/restrictionstrategy/LowerBoundRestrictionTest.kt
+++ b/theodolite/src/test/kotlin/rocks/theodolite/core/strategies/restrictionstrategy/LowerBoundRestrictionTest.kt
@@ -12,7 +12,7 @@ internal class LowerBoundRestrictionTest {
 
     @Test
     fun testNoPreviousResults() {
-        val results = Results(Metric.from("demand"))
+        val results = Results(Metric.DEMAND)
         val strategy = LowerBoundRestriction(results)
         val load = 10000
         val resources = listOf(1, 2, 3)
@@ -24,7 +24,7 @@ internal class LowerBoundRestrictionTest {
 
     @Test
     fun testWithSuccessfulPreviousResults() {
-        val results = Results(Metric.from("demand"))
+        val results = Results(Metric.DEMAND)
         results.setResult(10000, 1, true)
         results.setResult(20000, 1, false)
         results.setResult(20000, 2, true)
@@ -41,7 +41,7 @@ internal class LowerBoundRestrictionTest {
     @Disabled
     fun testWithNoSuccessfulPreviousResults() {
         // This test is currently not implemented this way, but might later be the desired behavior.
-        val results = Results(Metric.from("demand"))
+        val results = Results(Metric.DEMAND)
         results.setResult(10000, 1, true)
         results.setResult(20000, 1, false)
         results.setResult(20000, 2, false)
@@ -58,7 +58,7 @@ internal class LowerBoundRestrictionTest {
 
     @Test
     fun testNoPreviousResults2() {
-        val results = Results(Metric.from("demand"))
+        val results = Results(Metric.DEMAND)
         results.setResult(10000, 1, true)
         results.setResult(20000, 2, true)
         results.setResult(10000, 1, false)
@@ -74,7 +74,7 @@ internal class LowerBoundRestrictionTest {
     @Disabled
     fun testMinRequiredInstancesWhenNotSuccessful() {
         // This test is currently not implemented this way, but might later be the desired behavior.
-        val results = Results(Metric.from("demand"))
+        val results = Results(Metric.DEMAND)
         results.setResult(10000, 1, true)
         results.setResult(20000, 2, true)
         results.setResult(10000, 1, false)
diff --git a/theodolite/src/test/kotlin/rocks/theodolite/core/strategies/searchstrategy/InitialGuessSearchStrategyTest.kt b/theodolite/src/test/kotlin/rocks/theodolite/core/strategies/searchstrategy/InitialGuessSearchStrategyTest.kt
index 820dc7564aac2497a2884ca004f15110bc5465f7..155ceb847eebbd9219707182cbd85cd475c7995b 100644
--- a/theodolite/src/test/kotlin/rocks/theodolite/core/strategies/searchstrategy/InitialGuessSearchStrategyTest.kt
+++ b/theodolite/src/test/kotlin/rocks/theodolite/core/strategies/searchstrategy/InitialGuessSearchStrategyTest.kt
@@ -5,20 +5,44 @@ import org.junit.jupiter.api.Assertions.assertEquals
 import org.junit.jupiter.api.Test
 import rocks.theodolite.core.strategies.Metric
 import mu.KotlinLogging
-import rocks.theodolite.kubernetes.TestBenchmarkDeploymentBuilder
-import rocks.theodolite.kubernetes.TestExperimentRunnerImpl
+import rocks.theodolite.kubernetes.TestExperimentRunner
 import rocks.theodolite.core.strategies.guessstrategy.PrevInstanceOptGuess
 import rocks.theodolite.core.Results
-import rocks.theodolite.kubernetes.model.KubernetesBenchmark.Slo
+import rocks.theodolite.core.createResultsFromArray
+import rocks.theodolite.core.strategies.restrictionstrategy.LowerBoundRestriction
 
 private val logger = KotlinLogging.logger {}
 
 @QuarkusTest
 class InitialGuessSearchStrategyTest {
 
+    @Test
+    fun initialGuessSearchNoMatch() {
+        val mockResults = createResultsFromArray(arrayOf(
+            arrayOf(true, true),
+            arrayOf(false, false),
+            arrayOf(true, true),
+        ), Metric.DEMAND)
+        val mockLoads: List<Int> = (1..3).toList()
+        val mockResources: List<Int> = (1..2).toList()
+        val results = Results(Metric.DEMAND)
+        val guessStrategy = PrevInstanceOptGuess()
+        val benchmarkExecutor = TestExperimentRunner(results, mockResults)
+        val strategy = InitialGuessSearchStrategy(benchmarkExecutor,guessStrategy, results)
+
+        val actual: MutableList<Int?> = mutableListOf()
+        val expected: List<Int?> = listOf(1, null, 1)
+
+        for (load in mockLoads) {
+            actual.add(strategy.findSuitableResource(load, mockResources))
+        }
+
+        assertEquals(expected, actual)
+    }
+
     @Test
     fun testInitialGuessSearch() {
-        val mockResults = arrayOf(
+        val mockResults = createResultsFromArray(arrayOf(
             arrayOf(true, true, true, true, true, true, true),
             arrayOf(false, false, true, true, true, true, true),
             arrayOf(false, false, true, true, true, true, true),
@@ -26,19 +50,16 @@ class InitialGuessSearchStrategyTest {
             arrayOf(false, false, false, false, true, true, true),
             arrayOf(false, false, false, false, false, false, true),
             arrayOf(false, false, false, false, false, false, false)
-        )
-        val mockLoads: List<Int> = (0..6).toList()
-        val mockResources: List<Int> = (0..6).toList()
-        val results = Results(Metric.from("demand"))
-        val benchmarkDeploymentBuilder = TestBenchmarkDeploymentBuilder()
+        ), Metric.DEMAND)
+        val mockLoads: List<Int> = (1..7).toList()
+        val mockResources: List<Int> = (1..7).toList()
+        val results = Results(Metric.DEMAND)
         val guessStrategy = PrevInstanceOptGuess()
-        val sloChecker = Slo()
-        val benchmarkExecutor = TestExperimentRunnerImpl(results, mockResults, benchmarkDeploymentBuilder, listOf(sloChecker), 0, 0, 5)
+        val benchmarkExecutor = TestExperimentRunner(results, mockResults)
         val strategy = InitialGuessSearchStrategy(benchmarkExecutor,guessStrategy, results)
 
-        val actual: ArrayList<Int?> = ArrayList()
-        val expected: ArrayList<Int?> = ArrayList(listOf(0, 2, 2, 3, 4, 6))
-        expected.add(null)
+        val actual: MutableList<Int?> = mutableListOf()
+        val expected: List<Int?> = listOf(1, 3, 3, 4, 5, 7, null)
 
         for (load in mockLoads) {
             val returnVal : Int? = strategy.findSuitableResource(load, mockResources)
@@ -56,7 +77,7 @@ class InitialGuessSearchStrategyTest {
 
     @Test
     fun testInitialGuessSearchLowerResourceDemandHigherLoad() {
-        val mockResults = arrayOf(
+        val mockResults = createResultsFromArray(arrayOf(
             arrayOf(true, true, true, true, true, true, true),
             arrayOf(false, false, true, true, true, true, true),
             arrayOf(false, false, true, true, true, true, true),
@@ -64,19 +85,16 @@ class InitialGuessSearchStrategyTest {
             arrayOf(false, false, false, false, true, true, true),
             arrayOf(false, false, false, false, false, false, true),
             arrayOf(false, false, false, false, false, false, false)
-        )
-        val mockLoads: List<Int> = (0..6).toList()
-        val mockResources: List<Int> = (0..6).toList()
-        val results = Results(Metric.from("demand"))
-        val benchmarkDeploymentBuilder = TestBenchmarkDeploymentBuilder()
+        ), Metric.DEMAND)
+        val mockLoads: List<Int> = (1..7).toList()
+        val mockResources: List<Int> = (1..7).toList()
+        val results = Results(Metric.DEMAND)
         val guessStrategy = PrevInstanceOptGuess()
-        val sloChecker = Slo()
-        val benchmarkExecutor = TestExperimentRunnerImpl(results, mockResults, benchmarkDeploymentBuilder, listOf(sloChecker), 0, 0, 5)
+        val benchmarkExecutor = TestExperimentRunner(results, mockResults)
         val strategy = InitialGuessSearchStrategy(benchmarkExecutor,guessStrategy, results)
 
-        val actual: ArrayList<Int?> = ArrayList()
-        val expected: ArrayList<Int?> = ArrayList(listOf(0, 2, 2, 1, 4, 6))
-        expected.add(null)
+        val actual: MutableList<Int?> = mutableListOf()
+        val expected: List<Int?> = listOf(1, 3, 3, 2, 5, 7, null)
 
         for (load in mockLoads) {
             val returnVal : Int? = strategy.findSuitableResource(load, mockResources)
@@ -94,7 +112,7 @@ class InitialGuessSearchStrategyTest {
 
     @Test
     fun testInitialGuessSearchFirstNotDoable() {
-        val mockResults = arrayOf(
+        val mockResults = createResultsFromArray(arrayOf(
                 arrayOf(false, false, false, false, false, false, false),
                 arrayOf(false, false, true, true, true, true, true),
                 arrayOf(false, false, false, true, true, true, true),
@@ -102,20 +120,16 @@ class InitialGuessSearchStrategyTest {
                 arrayOf(false, false, false, false, true, true, true),
                 arrayOf(false, false, false, false, false, false, true),
                 arrayOf(false, false, false, false, false, false, false)
-        )
-        val mockLoads: List<Int> = (0..6).toList()
-        val mockResources: List<Int> = (0..6).toList()
-        val results = Results(Metric.from("demand"))
-        val benchmarkDeploymentBuilder = TestBenchmarkDeploymentBuilder()
+        ), Metric.DEMAND)
+        val mockLoads: List<Int> = (1..7).toList()
+        val mockResources: List<Int> = (1..7).toList()
+        val results = Results(Metric.DEMAND)
         val guessStrategy = PrevInstanceOptGuess()
-        val sloChecker = Slo()
-        val benchmarkExecutor = TestExperimentRunnerImpl(results, mockResults, benchmarkDeploymentBuilder, listOf(sloChecker), 0, 0, 5)
+        val benchmarkExecutor = TestExperimentRunner(results, mockResults)
         val strategy = InitialGuessSearchStrategy(benchmarkExecutor, guessStrategy, results)
 
-        val actual: ArrayList<Int?> = ArrayList()
-        var expected: ArrayList<Int?> = ArrayList(listOf(2, 3, 0, 4, 6))
-        expected.add(null)
-        expected = ArrayList(listOf(null) + expected)
+        val actual: MutableList<Int?> = mutableListOf()
+        val expected: List<Int?> = listOf(null, 3, 4, 1, 5, 7, null)
 
         for (load in mockLoads) {
             val returnVal : Int? = strategy.findSuitableResource(load, mockResources)
diff --git a/theodolite/src/test/kotlin/rocks/theodolite/core/strategies/searchstrategy/RestrictionSearchTest.kt b/theodolite/src/test/kotlin/rocks/theodolite/core/strategies/searchstrategy/RestrictionSearchTest.kt
index bae944801fcacf40431559a0e7ddeb78923d2173..b1f97667f0a19d00f9cf3ea0b2c8c2497a81d773 100644
--- a/theodolite/src/test/kotlin/rocks/theodolite/core/strategies/searchstrategy/RestrictionSearchTest.kt
+++ b/theodolite/src/test/kotlin/rocks/theodolite/core/strategies/searchstrategy/RestrictionSearchTest.kt
@@ -2,21 +2,45 @@ package rocks.theodolite.core.strategies.searchstrategy
 
 import io.quarkus.test.junit.QuarkusTest
 import org.junit.jupiter.api.Assertions.assertEquals
+import org.junit.jupiter.api.Disabled
 import org.junit.jupiter.api.Test
-import rocks.theodolite.kubernetes.TestBenchmarkDeploymentBuilder
-import rocks.theodolite.kubernetes.TestExperimentRunnerImpl
+import rocks.theodolite.kubernetes.TestExperimentRunner
 import rocks.theodolite.core.strategies.Metric
 import rocks.theodolite.core.strategies.restrictionstrategy.LowerBoundRestriction
 import rocks.theodolite.core.Results
-import rocks.theodolite.kubernetes.model.KubernetesBenchmark.Slo
+import rocks.theodolite.core.createResultsFromArray
 
 @QuarkusTest
 class RestrictionSearchTest {
 
+    @Test
+    fun restrictionSearchNoMatch() {
+        val mockResults = createResultsFromArray(arrayOf(
+            arrayOf(true, true),
+            arrayOf(false, false),
+            arrayOf(true, true),
+        ), Metric.DEMAND)
+        val mockLoads: List<Int> = (1..3).toList()
+        val mockResources: List<Int> = (1..2).toList()
+        val results = Results(Metric.DEMAND)
+        val benchmarkExecutor = TestExperimentRunner(results, mockResults)
+        val linearSearch = LinearSearch(benchmarkExecutor)
+        val lowerBoundRestriction = LowerBoundRestriction(results)
+        val strategy = RestrictionSearch(benchmarkExecutor, linearSearch, setOf(lowerBoundRestriction))
+
+        val actual: MutableList<Int?> = mutableListOf()
+        val expected: List<Int?> = listOf(1, null, null)
+
+        for (load in mockLoads) {
+            actual.add(strategy.findSuitableResource(load, mockResources))
+        }
+
+        assertEquals(expected, actual)
+    }
 
     @Test
     fun restrictionSearchTestLinearSearch() {
-        val mockResults = arrayOf(
+        val mockResults = createResultsFromArray(arrayOf(
             arrayOf(true, true, true, true, true, true, true),
             arrayOf(false, false, true, true, true, true, true),
             arrayOf(false, false, true, true, true, true, true),
@@ -24,32 +48,28 @@ class RestrictionSearchTest {
             arrayOf(false, false, false, false, true, true, true),
             arrayOf(false, false, false, false, false, false, true),
             arrayOf(false, false, false, false, false, false, false)
-        )
-        val mockLoads: List<Int> = (0..6).toList()
-        val mockResources: List<Int> = (0..6).toList()
-        val results = Results(Metric.from("demand"))
-        val benchmarkDeploymentBuilder = TestBenchmarkDeploymentBuilder()
-        val sloChecker = Slo()
-        val benchmarkExecutor = TestExperimentRunnerImpl(results, mockResults, benchmarkDeploymentBuilder, listOf(sloChecker), 0, 0, 5)
+        ), Metric.DEMAND)
+        val mockLoads: List<Int> = (1..7).toList()
+        val mockResources: List<Int> = (1..7).toList()
+        val results = Results(Metric.DEMAND)
+        val benchmarkExecutor = TestExperimentRunner(results, mockResults)
         val linearSearch = LinearSearch(benchmarkExecutor)
         val lowerBoundRestriction = LowerBoundRestriction(results)
-        val strategy =
-            RestrictionSearch(benchmarkExecutor, linearSearch, setOf(lowerBoundRestriction))
+        val strategy = RestrictionSearch(benchmarkExecutor, linearSearch, setOf(lowerBoundRestriction))
 
-        val actual: ArrayList<Int?> = ArrayList()
-        val expected: ArrayList<Int?> = ArrayList(listOf(0, 2, 2, 3, 4, 6))
-        expected.add(null)
+        val actual: MutableList<Int?> = mutableListOf()
+        val expected: List<Int?> = listOf(1, 3, 3, 4, 5, 7, null)
 
         for (load in mockLoads) {
             actual.add(strategy.findSuitableResource(load, mockResources))
         }
 
-        assertEquals(actual, expected)
+        assertEquals(expected, actual)
     }
 
     @Test
     fun restrictionSearchTestFullSearch() {
-        val mockResults = arrayOf(
+        val mockResults = createResultsFromArray(arrayOf(
                 arrayOf(true, true, true, true, true, true, true),
                 arrayOf(false, false, true, true, true, true, true),
                 arrayOf(false, false, true, true, true, true, true),
@@ -57,32 +77,28 @@ class RestrictionSearchTest {
                 arrayOf(false, false, false, false, true, true, true),
                 arrayOf(false, false, false, false, false, false, true),
                 arrayOf(false, false, false, false, false, false, false)
-        )
-        val mockLoads: List<Int> = (0..6).toList()
-        val mockResources: List<Int> = (0..6).toList()
-        val results = Results(Metric.from("demand"))
-        val benchmarkDeploymentBuilder = TestBenchmarkDeploymentBuilder()
-        val sloChecker = Slo()
-        val benchmarkExecutor = TestExperimentRunnerImpl(results, mockResults, benchmarkDeploymentBuilder, listOf(sloChecker), 0, 0, 5)
+        ), Metric.DEMAND)
+        val mockLoads: List<Int> = (1..7).toList()
+        val mockResources: List<Int> = (1..7).toList()
+        val results = Results(Metric.DEMAND)
+        val benchmarkExecutor = TestExperimentRunner(results, mockResults)
         val fullSearch = FullSearch(benchmarkExecutor)
         val lowerBoundRestriction = LowerBoundRestriction(results)
-        val strategy =
-                RestrictionSearch(benchmarkExecutor, fullSearch, setOf(lowerBoundRestriction))
+        val strategy = RestrictionSearch(benchmarkExecutor, fullSearch, setOf(lowerBoundRestriction))
 
-        val actual: ArrayList<Int?> = ArrayList()
-        val expected: ArrayList<Int?> = ArrayList(listOf(0, 2, 2, 3, 4, 6))
-        expected.add(null)
+        val actual: MutableList<Int?> = mutableListOf()
+        val expected: List<Int?> = listOf(1, 3, 3, 4, 5, 7, null)
 
         for (load in mockLoads) {
             actual.add(strategy.findSuitableResource(load, mockResources))
         }
 
-        assertEquals(actual, expected)
+        assertEquals(expected, actual)
     }
 
     @Test
     fun restrictionSearchTestBinarySearch() {
-        val mockResults = arrayOf(
+        val mockResults = createResultsFromArray(arrayOf(
             arrayOf(true, true, true, true, true, true, true),
             arrayOf(false, false, true, true, true, true, true),
             arrayOf(false, false, true, true, true, true, true),
@@ -90,32 +106,28 @@ class RestrictionSearchTest {
             arrayOf(false, false, false, false, true, true, true),
             arrayOf(false, false, false, false, false, false, true),
             arrayOf(false, false, false, false, false, false, false)
-        )
-        val mockLoads: List<Int> = (0..6).toList()
-        val mockResources: List<Int> = (0..6).toList()
-        val results = Results(Metric.from("demand"))
-        val benchmarkDeploymentBuilder = TestBenchmarkDeploymentBuilder()
-        val sloChecker = Slo()
-        val benchmarkExecutorImpl =
-            TestExperimentRunnerImpl(results, mockResults, benchmarkDeploymentBuilder, listOf(sloChecker), 0, 0, 0)
+        ), Metric.DEMAND)
+        val mockLoads: List<Int> = (1..7).toList()
+        val mockResources: List<Int> = (1..7).toList()
+        val results = Results(Metric.DEMAND)
+        val benchmarkExecutorImpl = TestExperimentRunner(results, mockResults)
         val binarySearch = BinarySearch(benchmarkExecutorImpl)
         val lowerBoundRestriction = LowerBoundRestriction(results)
         val strategy = RestrictionSearch(benchmarkExecutorImpl, binarySearch, setOf(lowerBoundRestriction))
 
-        val actual: ArrayList<Int?> = ArrayList()
-        val expected: ArrayList<Int?> = ArrayList(listOf(0, 2, 2, 3, 4, 6))
-        expected.add(null)
+        val actual: MutableList<Int?> = mutableListOf()
+        val expected: List<Int?> = listOf(1, 3, 3, 4, 5, 7, null)
 
         for (load in mockLoads) {
             actual.add(strategy.findSuitableResource(load, mockResources))
         }
 
-        assertEquals(actual, expected)
+        assertEquals(expected, actual)
     }
 
     @Test
     fun restrictionSearchTestBinarySearch2() {
-        val mockResults = arrayOf(
+        val mockResults = createResultsFromArray(arrayOf(
             arrayOf(true, true, true, true, true, true, true, true),
             arrayOf(false, false, true, true, true, true, true, true),
             arrayOf(false, false, true, true, true, true, true, true),
@@ -123,26 +135,22 @@ class RestrictionSearchTest {
             arrayOf(false, false, false, false, true, true, true, true),
             arrayOf(false, false, false, false, false, false, true, true),
             arrayOf(false, false, false, false, false, false, false, true)
-        )
-        val mockLoads: List<Int> = (0..6).toList()
-        val mockResources: List<Int> = (0..7).toList()
-        val results = Results(Metric.from("demand"))
-        val benchmarkDeploymentBuilder = TestBenchmarkDeploymentBuilder()
-        val sloChecker = Slo()
-        val benchmarkExecutor = TestExperimentRunnerImpl(results, mockResults, benchmarkDeploymentBuilder, listOf(sloChecker), 0, 0, 0)
+        ), Metric.DEMAND)
+        val mockLoads: List<Int> = (1..7).toList()
+        val mockResources: List<Int> = (1..8).toList()
+        val results = Results(Metric.DEMAND)
+        val benchmarkExecutor = TestExperimentRunner(results, mockResults)
         val binarySearch = BinarySearch(benchmarkExecutor)
         val lowerBoundRestriction = LowerBoundRestriction(results)
-        val strategy =
-            RestrictionSearch(benchmarkExecutor, binarySearch, setOf(lowerBoundRestriction))
+        val strategy = RestrictionSearch(benchmarkExecutor, binarySearch, setOf(lowerBoundRestriction))
 
-        val actual: ArrayList<Int?> = ArrayList()
-        val expected: ArrayList<Int?> =
-            ArrayList(listOf(0, 2, 2, 3, 4, 6, 7))
+        val actual: MutableList<Int?> = mutableListOf()
+        val expected: List<Int> = listOf(1, 3, 3, 4, 5, 7, 8)
 
         for (load in mockLoads) {
             actual.add(strategy.findSuitableResource(load, mockResources))
         }
 
-        assertEquals(actual, expected)
+        assertEquals(expected, actual)
     }
 }
diff --git a/theodolite/src/test/kotlin/rocks/theodolite/kubernetes/TestExperimentRunner.kt b/theodolite/src/test/kotlin/rocks/theodolite/kubernetes/TestExperimentRunner.kt
new file mode 100644
index 0000000000000000000000000000000000000000..62bb31edee19f960c1affb07579b3de814f12b33
--- /dev/null
+++ b/theodolite/src/test/kotlin/rocks/theodolite/kubernetes/TestExperimentRunner.kt
@@ -0,0 +1,18 @@
+package rocks.theodolite.kubernetes
+
+import rocks.theodolite.core.Results
+import rocks.theodolite.core.ExperimentRunner
+
+class TestExperimentRunner(
+        results: Results,
+        private val mockResults: Results
+) : ExperimentRunner(
+        results
+) {
+
+    override fun runExperiment(load: Int, resource: Int): Boolean {
+        val result = this.mockResults.getResult(load, resource) ?: throw IllegalStateException("Result is null.")
+        this.results.setResult(Pair(load, resource), result)
+        return result
+    }
+}
diff --git a/theodolite/src/test/kotlin/rocks/theodolite/kubernetes/TestExperimentRunnerImpl.kt b/theodolite/src/test/kotlin/rocks/theodolite/kubernetes/TestExperimentRunnerImpl.kt
deleted file mode 100644
index 896beed83e0c9436c3aadc83b1e395df06b1f5b2..0000000000000000000000000000000000000000
--- a/theodolite/src/test/kotlin/rocks/theodolite/kubernetes/TestExperimentRunnerImpl.kt
+++ /dev/null
@@ -1,24 +0,0 @@
-package rocks.theodolite.kubernetes
-
-import rocks.theodolite.core.Results
-import rocks.theodolite.kubernetes.model.KubernetesBenchmark.Slo
-import rocks.theodolite.core.ExperimentRunner
-
-class TestExperimentRunnerImpl(
-        results: Results,
-        private val mockResults: Array<Array<Boolean>>,
-        private val benchmarkDeploymentBuilder: TestBenchmarkDeploymentBuilder,
-        private val slo: List<Slo>,
-        private val executionId: Int,
-        private val loadGenerationDelay: Long,
-        private val afterTeardownDelay: Long
-) : ExperimentRunner(
-        results
-) {
-
-    override fun runExperiment(load: Int, resource: Int): Boolean {
-        val result = this.mockResults[load][resource]
-        this.results.setResult(Pair(load, resource), result)
-        return result
-    }
-}