Skip to content

progress.md

Latest commit

 

History

History
52 lines (44 loc) · 1.89 KB

progress.md

File metadata and controls

52 lines (44 loc) · 1.89 KB

Implementation Progress - Addok 2.1.6-dual

Current Status: ✅ COMPLETED

Completed Tasks ✅

  • Created release tracking documentation
  • Analyzed monitoring requirements
  • Updated Dockerfile with OpenTelemetry dependencies
  • Implemented telemetry module
  • Created Falcon middleware integration
  • Added Prometheus metrics endpoint
  • Updated entrypoint script with OTEL initialization
  • Added Datadog ddtrace integration
  • Implemented dual observability stack
  • Successfully built Docker image
  • Created build automation script
  • Pushed to registry

Build Results

Component Status Version
Base Image ✅ Built python:3.11-alpine
OpenTelemetry API ✅ Installed Latest
OpenTelemetry SDK ✅ Installed Latest
OTLP Exporter ✅ Installed Latest
Datadog ddtrace ✅ Installed Latest
Prometheus Client ✅ Installed 0.19.0
Falcon Integration ✅ Implemented Custom
Dual Observability ✅ Implemented Custom
Kubernetes Ready ✅ Yes -

Registry Tags

  • registry.gitlab.com/atafaya971/packsol/addok-ban:2.1.6-dual
  • registry.gitlab.com/atafaya971/packsol/addok-ban:2.1.6
  • registry.gitlab.com/atafaya971/packsol/addok-ban:latest-dual

Observability Stack

  • OpenTelemetry: Traces and metrics exported to OTLP endpoint
  • Datadog: Traces sent to Datadog Agent for APM
  • Prometheus: Direct metrics scraping via /metrics endpoint
  • Dual Coverage: Both OTEL and Datadog instrumentation active

Next Steps

  1. Deploy to Kubernetes using new image tag
  2. Verify traces appear in both Grafana/Tempo AND Datadog APM
  3. Confirm metrics scraped by Prometheus and sent to OTEL
  4. Validate application functionality with dual stack
  5. Monitor performance impact of dual observability

Build Completed: 2025-09-08 15:09:45 Build Status: SUCCESS ✅