Poly-repo to Monorepo Migration for CI/CD Modernization

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Objective:

To modernize the development workflow and CI/CD pipeline by migrating 10 projects from a poly-repo architecture to a unified monorepo.

Management: Complex dependency management across multiple repositories.
Tech Debt: Services ran on outdated Python 3.5, lacking performance and security updates.
Poor CI/CD: No code quality gates (linting/formatting). Deployments to EC2 via Ansible were slow, manual, and lacked robust rollback.
Operations: No custom monitoring led to a high MTTR. Manual scaling took ~30 minutes, failing to handle traffic bursts.

Monorepo (moonrepo):
- consistency project structure to simple management
- use moonrepo Centralized services with intelligent caching to significantly reduce CI build times.
Standardized Dev Environment:
- devcontainer: for consistent, one-click development environments.
- mise: for centralized management of runtimes and tools.
- uv: for high-speed, reproducible dependency management with lockfiles.
Tech Stack Modernization: Upgraded Python and related packages for improved performance, features, and security.
Containerization (K8s): Migrated services K8s for higher reliability, self-healing, and advanced scaling capabilities.
Integrated CI/CD Pipeline: Built a modern GitOps workflow using GitLab, Jenkins, and ArgoCD.

Developer Experience: Environment setup time was reduced from 1 hour to < 1 minute.
Cost & Performance: Achieved a 50% cost reduction and 30% performance boost by leveraging ARM architecture on K8s.
CI/CD Efficiency: Overall CI/CD time was reduced by 90% through caching and automation. Deployed reliably using Helm and ArgoCD.
System Observability: Implemented comprehensive monitoring with Grafana, custom exporters, and alerts, enhancing system transparency.
Auto-Scaling: Reduced scaling time from 30 minutes to < 2 minutes using KEDA with custom metrics, effectively handling load bursts and lowering MTTR.
implement connection pool to improve performance
change more efficiency package to improve performance

Last updated on 2025 Aug 17