MIGRATION

Kubernetes Migration at Scale

Migrate legacy Compute Engine infrastructure to Kubernetes at enterprise scale

Client
Le Monde Group
Duration
12 months
Team Size
5-7
Impact
Success

TECHNOLOGIES USED

Google Kubernetes EngineCompute EnginePrometheusGrafanaLokiDockerHelmGitLab CI

Kubernetes Migration at Scale

The Challenge

Le Monde Group faced a critical infrastructure modernization challenge. Their legacy architecture, built on Google Compute Engine instances, was becoming increasingly difficult to maintain, scale, and secure.

The Scale of the Challenge

  • 15+ Kubernetes clusters across multiple products
  • Multiple environments (production, staging, development) per product
  • Legacy Compute Engine instances running critical services
  • Zero-tolerance for downtime due to critical business requirements
  • Complex inter-service dependencies across different products

Key Pain Points

  • Manual scaling during traffic spikes (major events)
  • Limited observability into application performance
  • Difficulty rolling back problematic deployments
  • Resource underutilization on Compute Engine instances

Technical Solutions Implemented

Kubernetes Architecture

Modern Infrastructure Design:

  • Google Kubernetes Engine (GKE) as the orchestration platform
  • Private cluster configuration with secure endpoints
  • Node pools with auto-scaling capabilities
  • Security configurations with appropriate OAuth scopes
  • Network setup with dedicated CIDR blocks

Containerization & Deployment

Optimized Docker Strategy:

  • Multi-stage builds for image size optimization
  • Minimal base images (Alpine Linux)
  • Non-root users for enhanced security
  • Environment variables for configuration management
  • Integrated health checks for Kubernetes readiness

Custom Helm Charts:

  • Reusable templates for different application types
  • Configurable values per environment
  • Ingress configuration with automated SSL certificates
  • Auto-scaling parameters with HPA (Horizontal Pod Autoscaler)

Zero-Downtime Migration Strategy

Blue-Green Approach:

  • Parallel infrastructure running new Kubernetes clusters alongside Compute Engine
  • Traffic splitting for gradual migration using load balancer weights
  • Real-time monitoring comparing performance between old and new infrastructure
  • Immediate rollback capability for issue detection and resolution

Monitoring & Observability

Prometheus/Grafana/Loki Stack

# Monitoring Stack Components
Prometheus:
  - Metrics collection from all Kubernetes clusters
  - Alert rules for infrastructure and application issues

Grafana:
  - Real-time dashboards for each product
  - SLA monitoring and reporting
  - Custom dashboards for business teams

Loki:
  - Centralized log aggregation from all clusters
  - Log-based alerting for application errors
  - Integration with Grafana for log exploration

Key Monitoring Dashboards

  1. Infrastructure Overview: Cluster health, node utilization, pod status
  2. Application Performance: Response times, error rates, throughput
  3. Business Metrics: Article publication rates, user engagement
  4. Cost Optimization: Resource utilization, cluster efficiency

Technologies & Tools Used

  • Google Kubernetes Engine (GKE): Container orchestration platform
  • Docker: Application containerization
  • Helm: Kubernetes package management
  • Prometheus: Metrics collection and alerting
  • Grafana: Visualization and dashboards
  • Loki: Log aggregation and analysis
  • GitLab CI: Continuous integration and deployment
  • Terraform: Infrastructure as Code

Results & Impact

✅ Infrastructure Modernization

  • 15+ clusters successfully migrated to Kubernetes
  • Zero major incidents during migration process
  • 50+ applications containerized and deployed

✅ Operational Excellence

  • Automated scaling during traffic spikes (major events)
  • Consistent deployment processes across all products

Technical Expertise Demonstrated

Complex Multi-Service Architecture

  • Comprehensive analysis and mapping of inter-service dependencies
  • Sophisticated migration orchestration with dependency management

Critical Deployment Mastery

  • Zero-downtime deployment strategies for mission-critical applications
  • Automated failover systems with instant rollback capabilities
  • Advanced monitoring and real-time alerting systems

Enterprise-Scale Standardization

  • Creation of unified deployment patterns
  • Modular architecture with reusable components
  • Centralized observability with customized dashboards

Client Testimonial

"Edwin is someone who works autonomously and successfully leads the projects entrusted to him. He has been a driving force on various subjects, he has grown and helped grow the team. He integrated very well into the team despite the distance due to remote work, he demonstrated great ability to communicate with his team and other teams in the group, tracking his actions and projects was straightforward. Edwin doesn't need to be pushed to finish and deliver what's expected of him, he is proactive which makes things much easier."

— Mohamed El Mansouri, Lead DevOps Le Monde Group


Project Duration: 12 months
Team Size: 5-7

Project Impact

15+ clusters migrated, modern infrastructure, advanced observability