Reorganized the logic for setting tags when incidents are present in `OpenTelemetryTracingWorkflowExecutionMiddleware`. The new structure ensures consistent tag setting for error status and incidents, improving code readability and maintainability.
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.
This commit introduces the Elsa.OpenTelemetry module to provide OpenTelemetry sources for tracing workflow and activity execution. Additionally, it updates the program to include default workflow and activity execution pipelines with tracing middleware, and improves pipeline builder extensions to support middleware insertion.
