March 2026 (2026-03): Delivered QA Production Deployment Workflow Enhancement for tekdi/user-microservice, refactoring deployment steps for AWS, improved namespace handling, and tightened configuration to reduce deployment risk. The work enhances deployment clarity, reliability, and speed, supporting safer production releases and faster QA-to-prod transitions.

September 2025 monthly summary for tekdi/user-microservice focusing on delivery, reliability, and value from deployment workflow enhancements in QA and production. Highlights include refined CI/CD deployment workflow, secure AWS credentials handling, manifest generation from secrets, and automatic post-deployment pod restarts to ensure new configurations are picked up. Aligns manifest filename usage and adds minor log polish to improve observability and traceability. No major production bugs reported this month; emphasis on automation, reliability, and faster iteration.

For 2025-08, delivered CI/CD automation and Kubernetes deployment capabilities for tekdi/user-microservice, enabling faster, safer releases with reduced manual steps. Implemented end-to-end container image handling and environment-specific deployments that streamline delivery from code to production. What was delivered: - Docker image build and push to AWS ECR: Automated building, tagging, and pushing Docker images based on Git events via a build.yaml workflow. Commits include 0b5fab9c81b43e89cdf6377de9b647d0effc4095 (Create build.yaml), 556105ef400cc8ed8ba4fd842ab30e21a8dce552 (Update build.yaml), and 071f7a51694f9d87c718de59dcded892a2be5ea4 (Update build.yaml). - Automated deployment to QA and Production via Kubernetes: Git-tag-driven deployments with environment-specific configurations, implemented through aqa-prod-deployment.yaml workflow. Commit: 760b55cf52185842765e470138fa4492e9ab3b55 (Create qa-prod-deployment.yaml). Overall impact and business value: - Accelerated release cycles with fully automated image creation and deployment, reducing manual operational risk and time-to-production. - Clear, auditable release processes via YAML-based pipelines and Git-tag promotions. Technologies/skills demonstrated: - Docker, AWS ECR, Kubernetes, YAML-based CI/CD pipelines, GitOps-like workflows, and environment-specific configuration management.