Live data preview and node transition throughput on Flink minicluster

[mgoworko]

Describe your changes

• added listener, that collects live data processed by the scenario
• the data is stored in new RingBuffer util based on LinkedHashMap with automatic cleaning of old data, samples corresponding to the last N contextIds are stored
• also added node transition frequency calculation - node transition counts are stored in buckets for each epoch second and calculated in time windows

The data can be fetched using /api/liveData/{scenario_name}

At the moment only for Flink minicluster, because it is a part of the same JVM and we just access the data without synchronizing it with external data storage.

Checklist before merge

• Related issue ID is placed at the beginning of PR title in [brackets] (can be GH issue or Nu Jira issue)
• Code is cleaned from temporary changes and commented out lines
• Parts of the code that are not easy to understand are documented in the code
• Changes are covered by automated tests
• Showcase in dev-application.conf added to demonstrate the feature
• Documentation added or updated
• Added entry in Changelog.md describing the change from the perspective of a public distribution user
• Added MigrationGuide.md entry in the appropriate subcategory if introducing a breaking change
• Verify that PR will be squashed during merge