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.
* Add OpenTelemetry integration for workflow tracing
Introduced a new module, Elsa.OpenTelemetry, to provide OpenTelemetry sources for tracing workflow and activity execution. Updated various components and pipeline extensions to support OpenTelemetry tracing throughout the workflow execution process.
* Refactor workflow execution pipelines
Deleted `WorkflowsFeatureExtensions` and migrated methods to `PipelineWorkflowsFeatureExtensions` with added configurability. Enhanced `ActivityExecutionMiddlewareExtensions` and `ActivityExecutionPipelinePipelineBuilder` to support middleware insertion. Added comprehensive tracing to `OpenTelemetryTracingWorkflowExecutionMiddleware`.
* Add OpenTelemetry tracing to activity execution
Introduced `OpenTelemetryTracingActivityExecutionMiddleware` to capture tracing information for activity execution within workflows. This middleware logs activity execution start and end events, attaching pertinent activity tags. Added extension method to register this middleware in the workflow execution pipeline.
* Set `PYTHONNET_PYDLL` consistently and update workflow pipelines
Update Dockerfiles to set the `PYTHONNET_PYDLL` environment variable consistently without spaces. Additionally, refactor `Program.cs` to streamline workflow and activity execution pipeline configurations by using the `WithDefaultWorkflowExecutionPipeline` and `WithDefaultActivityExecutionPipeline` methods.
* Enhance OpenTelemetry Tracing Middleware Implementation
Add missing activity tags and events to improve telemetry data. Simplify middleware installation syntax for both workflow and activity execution tracing pipelines, ensuring consistent and clear tracing across modules.
Corrected Dockerfile paths for Elsa.Server and Elsa.Studio, and added Datadog tracing and related environment variables. Included Datadog.Trace package in Elsa.Server.Web project and updated Elsa.Studio package versions to 3.3.0-preview.466.
Changed paths from "bundles" to "apps" in multiple Dockerfiles to standardize the directory structure. This ensures all Dockerfiles use a consistent directory naming convention across the project.
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.
