Resolve "Implement Quarkus/Kotlin protype"

This MR resolves most of #109 (closed) and contains the first part of a prototype for a theodolite implementation in Kotlin.

At the moment, this MR contains the following parts:

• #129 (closed) Implementation for search strategies and restrictions
  • Linear search
  • Binary search
  • lower bound restriction
  • simple unit test
• #133 (closed) (merged with !82 (merged)) Adds a logging capability
• #130 (closed) Features of run_uc -> #126 (closed) and #127 (closed)
• #127 (closed) (merged with !79 (closed))
  • Communication with zookeeper, for example for resetting after a experiment run
• #126 (closed) (merged with !81 (closed))
  • Communication with Kafka, for example to create or delete Topics
• an execution package as a starting point for running theodolite
• ability to load Kubernetes resource configuration as yaml files, configure the loaded resource and deploy the modified resources to K8s. And, based on this, the implementation of the benchmark UC1 (I couldn't find a ticket for this, is there one already @stu203404)

Todos before ready to merge:

• apply open reviews (mostly for @stu203404)
• apply open reviews (mostly for @stu200776 and @stu126940)
• replace print statement with logger calls to fully resolve #133 (closed)
• finalize exemplary implementation of UC1
• maybe we should add a basic implementation of the SLOChecker (#135 (closed)) and the MetricFetcher (#139 (closed)) before merge moved to #135 (closed) and #139 (closed)

This MR closes:

Closes #126 (closed), Closes #127 (closed), Closes #133 (closed), Closes #129 (closed)

docs/README.md

+# 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 Benchmarks
+
+Theodolite contains 4 application benchmarks, which are based on typical use cases for stream processing within microservices. For each benchmark, a corresponding workload generator is provided. Currently, this repository provides benchmark implementations for Kafka Streams.
+
+
+## Theodolite Execution Framework
+
+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 as components in a cloud environment, orchestrated by Kubernetes. More information on how to execute scalability benchmarks can be found in [Thedolite execution framework](execution).
+
+
+## Theodolite Analysis Tools
+
+Theodolite's benchmarking method create a *scalability graph* allowing to draw conclusions about the scalability of a stream processing engine or its deployment. A scalability graph shows how resource demand evolves with an increasing workload. Theodolite provides Jupyter notebooks for creating such scalability graphs based on benchmarking results from the execution framework. More information can be found in [Theodolite analysis tool](analysis).