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Sören Henning
theodolite
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9d62860a
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9d62860a
authored
5 years ago
by
Sören Henning
Committed by
Sören Henning
4 years ago
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Add initial README
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# Requirements
## Kubernetes Cluster
For executing benchmarks, access to Kubernetes cluster is required. We suggest
to create a dedicated namespace for executing our benchmarks. The following
services need to be available as well.
### Prometheus (+ Grafana)
We suggest to use the Prometheus Operator and create a dedicated prometheus and
grafana instance for these benchmarks.
**TODO**
Add required configuration, introduce service Monitors
### A Kafka cluster
One possible way to set up a Kafka cluster is via
[
Confluent's Helm Charts
](
https://github.com/confluentinc/cp-helm-charts
)
.
For using these Helm charts and conjuction with the Prometheus Operator (see
below), we provide a
[
patch
](
https://github.com/SoerenHenning/cp-helm-charts
)
for these helm charts. Note that this patch is only required for observation and
not for the actual benchmark execution and evaluation.
**TODO**
Add required configuration, installation
### The Kafka Lag Exporter
Lightbend's Kafka Lag Exporter can be installed via helm:
``sh
helm install kafka-lag-exporter https://github.com/lightbend/kafka-lag-exporter/releases/download/v0.6.0/kafka-lag-exporter-0.6.0.tgz
``
**TODO**
Add configuration + ServiceMonitor
## Python 3.7
For executing benchmarks and analyzing their results, a Python 3.7 installation
is required. We suggest to use a virtual environment placed in the
`.venv`
directory.
**TODO**
Show how to install requirements
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