Enterprise Kubernetes Migration
Migrated legacy monolith to Kubernetes microservices, reducing cloud costs by 40% and enabling zero-downtime deployments.
Duration
6 months
Team Size
4 developers
Industry
Enterprise
Category
Cloud & DevOps
Enterprise Kubernetes Migration
A comprehensive cloud modernization project that transformed a legacy monolithic application into a scalable, resilient microservices architecture running on Kubernetes.
The Challenge
An enterprise client running a complex monolithic application faced multiple issues:
- High infrastructure costs - Oversized dedicated servers running at 20% utilization
- Deployment risks - Every release required planned downtime
- Scaling limitations - Manual scaling couldn't handle traffic spikes
- Vendor lock-in - Tied to a single cloud provider
The business needed a modern infrastructure that could scale with growth.
Our Approach
We designed a phased migration strategy that minimized risk while maximizing the benefits of containerization.
Migration Strategy
- Strangler Pattern - Gradually replace monolith components
- Multi-Cloud - Kubernetes clusters on both AWS and Azure
- GitOps - Infrastructure and deployments managed via Git
- Observability First - Monitoring before, during, and after migration
The Solution
Containerization
- Decomposed monolith into 15 microservices
- Created Docker images with multi-stage builds
- Implemented health checks and graceful shutdown
- Established container security scanning
Kubernetes Infrastructure
- Multi-cluster setup across AWS EKS and Azure AKS
- Service mesh with Istio for traffic management
- Horizontal Pod Autoscaling based on custom metrics
- Node auto-scaling with Cluster Autoscaler
CI/CD Pipeline
- GitHub Actions for builds and tests
- ArgoCD for GitOps-based deployments
- Canary deployments with automatic rollback
- Environment promotion through Git branches
Observability Stack
- Prometheus for metrics collection
- Grafana for visualization and alerting
- Jaeger for distributed tracing
- ELK stack for centralized logging
Technology Stack
| Layer | Technologies |
|---|---|
| Container | Docker, Containerd |
| Orchestration | Kubernetes, Helm, Kustomize |
| IaC | Terraform, Terragrunt |
| CI/CD | GitHub Actions, ArgoCD |
| Monitoring | Prometheus, Grafana, Jaeger |
| Service Mesh | Istio |
Results & Impact
The migration delivered significant improvements:
- 40% cost reduction through right-sizing and spot instances
- Zero-downtime deploys with canary releases
- 99.99% uptime across both cloud providers
- 10x deployment frequency (weekly → multiple daily)
Migration Timeline
| Phase | Duration | Focus |
|---|---|---|
| Assessment | 2 weeks | Architecture review, dependency mapping |
| Foundation | 4 weeks | K8s clusters, CI/CD, monitoring |
| Migration | 12 weeks | Service-by-service migration |
| Optimization | 6 weeks | Performance tuning, cost optimization |
Key Learnings
- Start with observability - You can't improve what you can't measure
- Automate everything - Manual processes don't scale
- Plan for failure - Multi-region by default
- Train the team - Technology is only part of the solution
Client Testimonial
"G1 Technologies didn't just migrate our infrastructure—they transformed our engineering culture. We deploy with confidence now, and our cloud bills have never looked better."
— CTO, Enterprise Client
Planning a cloud migration? Contact us for a free infrastructure assessment.
Key Results
40% reduction in cloud costs
Zero-downtime deployments achieved
99.99% uptime SLA maintained
Deployment frequency increased 10x
Technology Stack
Have a similar project in mind?
Let's discuss how we can help bring your vision to life.