Kubernetes Migration

End-to-end migration support from legacy infrastructure to production-ready Kubernetes

Seamlessly migrate your workloads to Kubernetes with expert guidance. We provide end-to-end migration support from assessment through optimization, ensuring minimal downtime and maximum performance.

Why Migrate to Kubernetes?#

Organizations migrate to Kubernetes to achieve operational excellence and business agility:

Our Migration Approach#

Phase 1: Discovery and Assessment#

We begin with a comprehensive assessment of your current infrastructure and applications.

Application Inventory

• Complete application portfolio mapping
• Dependency graph analysis
• Data flow documentation
• Integration point identification

Containerization Readiness

Each application is evaluated against our readiness matrix:

1
┌─────────────────────────────────────────────────────────────────┐
2
│                    Readiness Assessment Matrix                   │
3
├─────────────────────────────────────────────────────────────────┤
4
│  Application Type     │ Complexity │ Migration Strategy          │
5
├───────────────────────┼────────────┼─────────────────────────────┤
6
│  Stateless services   │    Low     │ Lift and shift              │
7
│  12-factor apps       │    Low     │ Direct containerization     │
8
│  Stateful services    │   Medium   │ Replatform with PV/PVC      │
9
│  Legacy monoliths     │    High    │ Strangler fig pattern       │
10
│  Mainframe/COBOL      │  Very High │ Modernization roadmap       │
11
└─────────────────────────────────────────────────────────────────┘

Deliverables

• Migration readiness report
• Application complexity scores
• Recommended migration sequence
• Risk assessment and mitigation plan
• Resource and timeline estimates

Phase 2: Containerization#

Transform your applications into container-ready workloads.

Dockerfile Development

We create optimized Dockerfiles following security and performance best practices:

1
# Multi-stage build for optimal image size
2
FROM node:20-alpine AS builder
3
WORKDIR /app
4
COPY package*.json ./
5
RUN npm ci --only=production
6
COPY . .
7
RUN npm run build
8
9
FROM node:20-alpine AS runtime
10
RUN addgroup -g 1001 -S nodejs && \
11
    adduser -S nextjs -u 1001
12
WORKDIR /app
13
COPY --from=builder --chown=nextjs:nodejs /app/dist ./dist
14
COPY --from=builder --chown=nextjs:nodejs /app/node_modules ./node_modules
15
USER nextjs
16
EXPOSE 3000
17
CMD ["node", "dist/server.js"]

Image Optimization

• Multi-stage builds for minimal image size
• Non-root user configuration
• Security scanning integration
• Vulnerability remediation
• Base image standardization

Registry Setup

• Private registry configuration (ECR, ACR, GCR, Harbor)
• Image signing and verification
• Automated scanning pipelines
• Retention and cleanup policies

Phase 3: Kubernetes Infrastructure#

Set up production-ready Kubernetes clusters tailored to your requirements.

Cluster Architecture

Infrastructure Components

• Node pool design and sizing
• Networking (CNI, service mesh, ingress)
• Storage classes and persistent volumes
• Security policies and RBAC
• Secrets management integration
• Observability stack deployment

Phase 4: Workload Migration#

Execute the migration with zero-downtime strategies.

Migration Strategies

Helm Chart Development

1
# values.yaml - Environment-specific configuration
2
replicaCount: 3
3
4
image:
5
  repository: registry.example.com/app
6
  tag: v1.0.0
7
  pullPolicy: IfNotPresent
8
9
resources:
10
  requests:
11
    cpu: 100m
12
    memory: 128Mi
13
  limits:
14
    cpu: 500m
15
    memory: 512Mi
16
17
autoscaling:
18
  enabled: true
19
  minReplicas: 3
20
  maxReplicas: 10
21
  targetCPUUtilization: 70
22
23
ingress:
24
  enabled: true
25
  className: nginx
26
  annotations:
27
    cert-manager.io/cluster-issuer: letsencrypt-prod
28
  hosts:
29
    - host: app.example.com
30
      paths:
31
        - path: /
32
          pathType: Prefix

Data Migration

• Database migration strategies
• Stateful workload handling
• Data synchronization during cutover
• Rollback procedures

Phase 5: Validation and Optimization#

Ensure your migrated workloads perform optimally.

Performance Validation

• Load testing in Kubernetes environment
• Latency and throughput benchmarking
• Resource utilization analysis
• Cost optimization recommendations

Operational Readiness

• Runbook development
• Incident response procedures
• Monitoring and alerting setup
• Team training and knowledge transfer

Migration Patterns#

Lift and Shift#

Containerize applications with minimal changes for quick wins.

Best for:

• Stateless applications
• Applications with clear boundaries
• Time-sensitive migrations
• Applications scheduled for future refactoring

Process:

1. Create Dockerfile for existing application
2. Configure external dependencies (databases, caches)
3. Deploy to Kubernetes with basic manifests
4. Validate functionality
5. Cutover traffic

Replatform#

Optimize applications for Kubernetes while migrating.

Best for:

• Applications benefiting from Kubernetes features
• Workloads requiring horizontal scaling
• Services needing improved observability
• Applications with technical debt to address

Enhancements:

• Externalize configuration to ConfigMaps/Secrets
• Implement health checks (liveness, readiness, startup)
• Add structured logging
• Configure resource requests and limits
• Enable horizontal pod autoscaling

Strangler Fig Pattern#

Incrementally migrate monolithic applications.

Best for:

• Large monolithic applications
• Applications with tightly coupled components
• High-risk migrations requiring gradual approach
• Systems requiring continuous availability

Process:

1. Identify bounded contexts within monolith
2. Extract services incrementally
3. Route traffic through API gateway
4. Migrate functionality piece by piece
5. Decommission monolith when complete

1
┌─────────────────────────────────────────────────────────────────┐
2
│                    Strangler Fig Migration                       │
3
│                                                                  │
4
│  ┌──────────┐     ┌──────────┐     ┌──────────┐                │
5
│  │ Monolith │ ──► │ Facade + │ ──► │ Micro-   │                │
6
│  │          │     │ Services │     │ services │                │
7
│  └──────────┘     └──────────┘     └──────────┘                │
8
│                                                                  │
9
│  Phase 1:          Phase 2:         Phase 3:                    │
10
│  Identify          Extract          Complete                    │
11
│  boundaries        services         migration                   │
12
└─────────────────────────────────────────────────────────────────┘

Common Challenges and Solutions#

Stateful Applications#

Challenge: Migrating applications with persistent data requirements.

Solutions:

• Use StatefulSets for ordered, stable pod identity
• Configure appropriate storage classes (SSD, HDD, network-attached)
• Implement proper backup and restore procedures
• Consider managed databases for reduced operational burden

Service Discovery#

Challenge: Applications hardcoded with IP addresses or hostnames.

Solutions:

• Use Kubernetes DNS for service discovery
• Implement service mesh for advanced routing
• Configure external-dns for external access
• Use headless services for direct pod access when needed

Secrets Management#

Challenge: Securely managing credentials and sensitive configuration.

Solutions:

• Integrate with external secrets managers (Vault, AWS Secrets Manager)
• Use sealed-secrets for GitOps workflows
• Implement proper RBAC for secret access
• Rotate secrets automatically

Network Policies#

Challenge: Implementing network segmentation in Kubernetes.

Solutions:

• Define NetworkPolicies for micro-segmentation
• Use Calico or Cilium for advanced networking
• Implement service mesh for mTLS
• Configure egress controls for compliance

Support Tiers#

Migration Assessment#

• Application portfolio analysis
• Containerization readiness evaluation
• Migration roadmap development
• Resource and timeline estimation

Guided Migration#

• Technical architecture design
• Hands-on migration support
• Knowledge transfer sessions
• Post-migration validation

Managed Migration#

• End-to-end migration execution
• Dedicated migration team
• 24/7 support during cutover
• Performance optimization included

Getting Started#

Related Resources#

• Kubernetes Migration Case Study - How MegaCorp migrated 200+ applications
• Kubernetes Management Services
• GitOps Implementation
• ArgoCD for Continuous Delivery
• Docker Introduction