Elastic Search

Krkn-AI supports integration with Elasticsearch to store scenario configurations, run results, and metrics. This allows you to centralize and query experiment data using Elasticsearch’s search and visualization capabilities (e.g., with Kibana).

Configuration Parameters

• enable (bool): Set to true to enable saving results to Elasticsearch. Default: false.
• server (string): URL or address of your Elasticsearch server (e.g., http://localhost).
• port (int): Port to connect to Elasticsearch (default: 9200).
• username (string): Username for Elasticsearch authentication (can reference environment variables).
• password (string): Password for Elasticsearch authentication. If using environment substitution, prefix with __ to treat as private.
• verify_certs (bool): Set to true to verify SSL certificates. Default: true.
• index (string): Name prefix for the Elasticsearch index where Krkn-AI results will be stored (e.g., krkn-ai).

Example Configuration

elastic:
  enable: true                      # Enable Elasticsearch integration
  server: "http://localhost"        # Elasticsearch server URL
  port: 9200                        # Elasticsearch port
  username: "$ES_USER"              # Username (environment substitution supported)
  password: "$__ES_PASSWORD"        # Password (start with __ for sensitive/private handling)
  verify_certs: true                # Verify SSL certificates
  index: "krkn-ai"                  # Index prefix for storing results

In addition to the standard Krkn telemetry and metrics indices, Krkn-AI creates two dedicated Elasticsearch indices to store detailed run information:

• krkn-ai-config: Stores comprehensive information about the Krkn-AI configuration for each run, including parameters for the genetic algorithm, enabled scenarios, SLO definitions, and other configuration details.
• krkn-ai-results: Stores the results of each Krkn-AI run, such as fitness scores, health check evaluations, and related metrics.

Note: Depending on the complexity and number of scenarios executed, Krkn-AI can generate a significant amount of metrics and data per run. Ensure that your Elasticsearch deployment is sized appropriately to handle this volume.