Introduce OpenTelemetry configuration and dependencies for observability. Replace DataDog tracer with OpenTelemetry auto-instrumentation in the Dockerfile. Adjust project dependencies and log levels to incorporate OpenTelemetry without disrupting existing functionality.
Enhanced the Datadog tracing configuration to include priority sampling, rate limits, and sampling rules in the docker-compose-datadog.yml. Updated the agent image version and improved error message serialization in OpenTelemetry middleware to use custom JSON serializer options. Adjusted Dockerfile path to correct bundle location.
Updated `docker-compose-datadog.yml` with new environment variables and updated image versions, enhancing trace sampling and service autodiscovery. Added Kubernetes deployment, service, and role files for `elsa-server`, `elsa-studio`, `plant-uml`, `postgres`, and `trace-lens`, improving the project's infrastructure. Enhanced OpenTelemetry middleware for better error handling and detailed tracing of activity and workflow executions.
Create new docker-compose files for non-data dog and data dog services. New services include Postgres, cockroachdb, rabbitmq, redis, and elsa-server. Along with the services, a new bash script for migration and various new activities and endpoints are also added for the Elsa server. This set of changes broadens the operational environment of Elsa.
