Pre-Migration Planning and Assessment
Marcus watched in horror as their Kubernetes cluster went down at 3 AM. No automatic failover, no managed recovery, just pure panic and a very angry CEO demanding answers. "Why aren't we using managed Kubernetes yet?" she asked. It was a question that would lead to their most successful infrastructure decision ever.
Sound familiar? You're not alone. 73% of organizations are planning or executing Kubernetes to EKS migrations in 2026, and for good reason.
Why Migrate to EKS in 2026?
Amazon EKS provides significant advantages over self-managed Kubernetes clusters:
- Reduced Operational Overhead: 60% less time spent on cluster management tasks
- Enhanced Security: Automatic security patches, AWS IAM integration, and compliance certifications
- Improved Scalability: Auto-scaling capabilities with AWS Fargate and EC2 integration
- Cost Optimization: Pay-as-you-go pricing with potential 20-30% savings
- Native AWS Integration: Seamless connectivity with 200+ AWS services
Migration Assessment Framework
Before beginning your migration, conduct a comprehensive assessment of your current infrastructure:
π Infrastructure Inventory
- Current cluster specifications (nodes, CPU, memory, storage)
- Network architecture and connectivity requirements
- Load balancer configurations and ingress patterns
- Storage volumes and persistent data requirements
- Monitoring and logging infrastructure
π Application Dependencies
- Service mesh configurations (Istio, Linkerd, etc.)
- Custom operators and CRDs (Custom Resource Definitions)
- External system integrations (databases, APIs, CI/CD)
- Security policies and RBAC configurations
- Backup and disaster recovery procedures
Migration Strategy Selection
Choose your migration approach based on downtime tolerance and complexity:
| Strategy | Downtime | Complexity | Best For |
|---|---|---|---|
| Lift & Shift | 2-4 hours | Low | Dev/Test environments |
| Blue-Green | 0 minutes | Medium | Production with redundancy |
| Rolling Migration | Minimal | High | Large-scale production |
EKS Environment Setup
Step 1: Create EKS Cluster with eksctl
The fastest way to create a production-ready EKS cluster is using eksctl with a configuration file:
EKS Cluster Configuration (cluster.yaml)
apiVersion: eksctl.io/v1alpha5
kind: ClusterConfig
metadata:
name: production-eks
region: us-west-2
version: "1.30"
managedNodeGroups:
- name: workers
instanceType: t3.medium
desiredCapacity: 3
minSize: 2
maxSize: 10
volumeSize: 100
ssh:
allow: true
tags:
Environment: production
Team: platform
addons:
- name: aws-ebs-csi-driver
- name: aws-efs-csi-driver
- name: aws-load-balancer-controller
iam:
withOIDC: true
serviceAccounts:
- metadata:
name: aws-load-balancer-controller
namespace: kube-system
wellKnownPolicies:
awsLoadBalancerController: true
Create the Cluster
# Create EKS cluster
eksctl create cluster -f cluster.yaml
# Configure kubectl access
aws eks update-kubeconfig --name production-eks --region us-west-2
# Verify cluster access
kubectl get nodes
Step 2: Configure Essential AWS Services
Set up critical AWS integrations for production readiness:
Install AWS Load Balancer Controller
# Add Helm repository
helm repo add eks https://aws.github.io/eks-charts
helm repo update
# Install AWS Load Balancer Controller
helm install aws-load-balancer-controller eks/aws-load-balancer-controller \
-n kube-system \
--set clusterName=production-eks \
--set serviceAccount.create=false \
--set serviceAccount.name=aws-load-balancer-controller
# Verify installation
kubectl get deployment -n kube-system aws-load-balancer-controller
Step 3: Network Configuration
Configure VPC networking for optimal performance and security:
- Subnet Planning: Use private subnets for worker nodes, public subnets for load balancers
- Security Groups: Implement least-privilege access controls
- NAT Gateway: Ensure outbound connectivity for private subnets
- VPC CNI: Configure pod networking and IP address management
π₯ Watch: EKS Migration in Action
See a complete zero-downtime migration from self-managed K8s to EKS with live troubleshooting and best practices.
Watch Migration Demo βApplication and Data Migration
Workload Migration Strategy
Migrate applications systematically to minimize risk and ensure validation:
Export Existing Resources
# Export all resources from source cluster
kubectl get all -o yaml --all-namespaces > all-resources.yaml
# Export specific namespace
kubectl get all -n production -o yaml > production-resources.yaml
# Export ConfigMaps and Secrets separately
kubectl get configmaps -o yaml --all-namespaces > configmaps.yaml
kubectl get secrets -o yaml --all-namespaces > secrets.yaml
Storage Migration
Handle persistent data migration based on your storage type:
ποΈ Database Migration
- AWS DMS: For heterogeneous database migration
- Database Replication: Set up read replicas for zero-downtime migration
- Backup/Restore: For smaller databases with acceptable downtime
π File Storage Migration
- AWS DataSync: For large datasets and NFS volumes
- S3 Transfer: For object storage and static assets
- EFS Migration: For shared file systems
Velero Backup and Restore
# Install Velero on source cluster
velero install \
--provider aws \
--plugins velero/velero-plugin-for-aws:v1.8.0 \
--bucket my-backup-bucket \
--secret-file ./credentials-velero
# Create backup
velero backup create migration-backup --include-namespaces production
# Install Velero on EKS cluster
velero install \
--provider aws \
--plugins velero/velero-plugin-for-aws:v1.8.0 \
--bucket my-backup-bucket \
--secret-file ./credentials-velero
# Restore to EKS
velero restore create --from-backup migration-backup
Service Migration and Testing
Implement comprehensive testing before cutting over traffic:
π§ͺ Migration Testing Checklist
- Functionality Testing: Verify all application features work correctly
- Performance Validation: Compare response times and resource utilization
- Integration Testing: Test external service connectivity
- Security Assessment: Validate RBAC and network policies
- Disaster Recovery: Test backup and recovery procedures
π‘ Pro Tip: Traffic Splitting Strategy
Use AWS Application Load Balancer weighted routing to gradually shift traffic from old cluster to EKS. Start with 5% traffic, monitor for issues, then increase in 25% increments until 100% migration is complete.
Post-Migration Optimization
Monitoring and Observability
Set up comprehensive monitoring for your new EKS cluster:
Enable CloudWatch Container Insights
# Install CloudWatch agent
kubectl apply -f https://raw.githubusercontent.com/aws-samples/amazon-cloudwatch-container-insights/latest/k8s-deployment-manifest-templates/deployment-mode/daemonset/container-insights-monitoring/cloudwatch-namespace.yaml
kubectl apply -f https://raw.githubusercontent.com/aws-samples/amazon-cloudwatch-container-insights/latest/k8s-deployment-manifest-templates/deployment-mode/daemonset/container-insights-monitoring/cwagent/cwagent-daemonset.yaml
kubectl apply -f https://raw.githubusercontent.com/aws-samples/amazon-cloudwatch-container-insights/latest/k8s-deployment-manifest-templates/deployment-mode/daemonset/container-insights-monitoring/fluentd/fluentd-daemonset-cloudwatchlogs.yaml
Cost Optimization
Implement cost optimization strategies specific to EKS:
- Spot Instances: Use spot instances for non-critical workloads (up to 90% savings)
- Fargate: Serverless compute for batch jobs and irregular workloads
- Cluster Autoscaler: Automatic node scaling based on demand
- Resource Right-sizing: Use VPA (Vertical Pod Autoscaler) for optimal resource allocation
- Reserved Instances: Commit to long-term usage for predictable savings
Security Hardening
Implement EKS-specific security best practices:
π EKS Security Configuration
- Pod Security Standards: Enable restricted pod security policy
- Network Policies: Implement micro-segmentation with Calico or Cilium
- Secrets Management: Integrate AWS Secrets Manager or Parameter Store
- IAM Roles for Service Accounts: Fine-grained permissions without long-term credentials
- Image Scanning: Enable ECR vulnerability scanning for container images
Performance Optimization
Fine-tune your EKS cluster for optimal performance:
β‘ Performance Optimization Strategies
- Node Instance Selection: Choose compute-optimized instances for CPU-intensive workloads
- EBS Optimization: Use gp3 volumes with provisioned IOPS for database workloads
- Network Performance: Enable enhanced networking and SR-IOV for high-throughput applications
- Pod Density: Optimize max pods per node based on application requirements
Frequently Asked Questions
How long does a Kubernetes to EKS migration take?
A typical EKS migration takes 2-8 weeks depending on cluster complexity, number of applications, and data volume. Small clusters (10-20 workloads) can migrate in 2-3 weeks, while enterprise clusters with 100+ applications may require 6-8 weeks including thorough testing and validation.
What are the costs involved in migrating to EKS?
EKS migration costs include: EKS control plane ($73/month per cluster), EC2 nodes (same as current compute), data transfer fees ($0.01-0.09/GB), and potential CloudWatch/ALB costs. Most organizations see 20-30% cost savings long-term through managed services and optimized resource allocation.
Can I migrate to EKS with zero downtime?
Yes, zero-downtime migration is possible using blue-green deployment strategy. Set up parallel EKS cluster, migrate applications gradually using traffic splitting, validate functionality, then switch traffic. This approach requires proper load balancer configuration and stateless application design.
What tools are essential for EKS migration?
Essential tools include eksctl for cluster creation, Velero for backup/restore, AWS CLI for resource management, kubectl for workload migration, Terraform for infrastructure-as-code, and AWS Migration tools for data transfer.
How do I migrate persistent data to EKS?
Data migration strategies include: AWS DataSync for large datasets, Velero for Kubernetes-native backups, database replication for stateful services, and EBS snapshot migration for persistent volumes. Choose based on data size, downtime tolerance, and application requirements.
What are the common EKS migration pitfalls to avoid?
Common pitfalls include inadequate network planning (VPC/subnet configuration), insufficient IAM role mapping, improper storage class configuration, neglecting monitoring setup, and skipping comprehensive testing. Plan networking first, test thoroughly, and validate all integrations.
Do I need to modify applications for EKS compatibility?
Most Kubernetes-native applications require minimal changes. Key modifications may include: updating storage classes for EBS/EFS, adjusting service configurations for ALB integration, updating ingress for AWS Load Balancer Controller, and adapting to AWS-specific networking and security features.
Conclusion
Migrating from self-managed Kubernetes to Amazon EKS represents more than just an infrastructure changeβit's a strategic move toward operational excellence. Organizations typically see a 60% reduction in operational overhead, 20-30% cost savings, and significantly improved security posture.
The key to successful migration lies in thorough planning, systematic execution, and comprehensive testing. By following the strategies and tools outlined in this guide, you can achieve zero-downtime migration while avoiding the common pitfalls that cost organizations thousands of dollars in delays and rework.
Ready to start your EKS migration journey? Begin with a small pilot project to validate your approach, then scale the process across your entire infrastructure portfolio.
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