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Kubernetes Cluster Migration Project Plan

Plan a Kubernetes cluster migration with a Gantt chart. Track workload inventory, new cluster setup, service migration, and cutover milestones. Free online tool.

Kubernetes Cluster Migration Project Plan

The Problem: Kubernetes Migrations Are Quietly Disruptive

Kubernetes cluster migrations—whether upgrading to a new version, moving between cloud providers, or consolidating clusters—look like infrastructure work until they cause production incidents. DNS breaks. Persistent volume claims don't attach. Network policies don't migrate cleanly. Services that ran perfectly in the old cluster behave differently in the new one.

A Kubernetes cluster migration project plan forces the validation work before cutover. Every workload is tested in the new cluster. Network policies, RBAC, storage configurations, and ingress rules are verified. Traffic is shifted gradually, not all at once. gantt-chart.io is free and requires no account.

Prerequisites

  • Migration trigger: Version upgrade, cluster consolidation, or cloud provider change?
  • Workload inventory: How many deployments, StatefulSets, DaemonSets, CronJobs?
  • Storage: What persistent volumes need to migrate? (Most complex part of K8s migrations)
  • Networking: Ingress controllers, service mesh, network policies
  • CI/CD: How do deployments currently land in the cluster? (ArgoCD, Flux, Helm, raw kubectl?)
  • Rollback plan: Can traffic be sent back to the old cluster if migration fails?

Step-by-Step Instructions

Step 1: Set Up the Timeline

  1. Open gantt-chart.io
  2. Title the chart: Kubernetes Cluster Migration
  3. Plan 10–16 weeks depending on workload count and complexity
  4. Add Cutover as the key milestone
  5. Use Week view

Step 2: Define the Six Migration Phases

  1. Inventory & Assessment — catalog all workloads, dependencies, and configs
  2. New Cluster Setup — provision and configure the new cluster
  3. Platform Components — deploy ingress, monitoring, service mesh, cert-manager
  4. Workload Migration — move workloads in waves, lowest risk first
  5. Traffic Cutover — shift traffic progressively
  6. Old Cluster Decommission — drain and remove old cluster

Step 3: Inventory & Assessment (Week 1-2)

  1. Workload inventory: all Deployments, StatefulSets, CronJobs — Week 1
  2. Dependency mapping: which services call which — Week 1
  3. Config and secrets inventory — Week 1
  4. Persistent volume inventory — Week 1-2
  5. Ingress and service exposure map — Week 2
  6. Resource requests/limits audit — Week 2
  7. Assessment report complete — Week 2 (milestone)

Step 4: New Cluster Setup (Week 2-5)

  1. New cluster provisioned (EKS/GKE/AKS/on-prem) — Week 2-3
  2. Node pools configured (sizing, autoscaling) — Week 3
  3. RBAC and access controls configured — Week 3-4
  4. Namespaces created to match old cluster structure — Week 4
  5. Secrets management configured (External Secrets Operator, Vault) — Week 4-5
  6. Network policies applied — Week 5
  7. New cluster ready — Week 5 (milestone)

Step 5: Platform Components (Week 5-7)

  1. Ingress controller deployed (nginx/traefik/ALB) — Week 5
  2. cert-manager deployed and configured — Week 5-6
  3. Monitoring stack deployed (Prometheus/Grafana) — Week 6
  4. Logging configured (Fluentd/Loki) — Week 6
  5. Service mesh deployed (if applicable) — Week 6-7
  6. Storage classes configured — Week 6-7
  7. Platform components ready — Week 7 (milestone)

Step 6: Workload Migration Waves (Week 7-13)

Wave 1: Stateless services (Week 7-9)

  1. Deploy stateless workloads to new cluster — Week 7-8
  2. Test each service in isolation — Week 8
  3. Internal traffic routing tested — Week 8-9
  4. Wave 1 validation — Week 9

Wave 2: Stateful services without persistent volumes (Week 9-10)

  1. Deploy stateful services — Week 9-10
  2. Test state management — Week 10
  3. Wave 2 validation — Week 10

Wave 3: Services with persistent volumes (Week 10-13)

  1. Volume migration strategy selected (snapshot, rsync, CSI migration) — Week 10
  2. Test volume migration with non-production data — Week 10-11
  3. Migrate staging volumes — Week 11
  4. Migrate production volumes — Week 12-13
  5. Data integrity verification — Week 13
  6. Wave 3 validation — Week 13 (milestone)

Step 7: Traffic Cutover (Week 13-14)

  1. DNS cutover strategy documented — Week 13
  2. Load balancer reconfigured to new cluster (10% traffic) — Week 14, Day 1
  3. Monitor error rates 1 hour — Day 1
  4. Shift to 50% traffic — Week 14, Day 2
  5. Monitor 24 hours — Day 2-3
  6. Shift to 100% traffic — Week 14, Day 4
  7. Full traffic cutover confirmed — Week 14 (milestone)

Step 8: Old Cluster Decommission (Week 15-16)

  1. Old cluster kept in standby (no traffic) for 1 week — Week 15
  2. Monitoring confirms no traffic to old cluster — Week 15
  3. Old cluster drained — Week 16
  4. Old cluster terminated — Week 16
  5. Migration complete — Week 16 (milestone)

The Hardest Part: Persistent Volume Migration

Persistent volume migration is the most complex part of any K8s migration. Options:

ApproachBest forRisk
CSI snapshot + restoreSame cloud providerLow
Application-level export/importDatabasesMedium
Velero backup/restoreCross-providerMedium
rsync with downtimeSmall volumesHigh (requires downtime)

Test your chosen approach on non-production data before touching production volumes.

Common Mistakes

Not validating network policies. Network policies don't migrate automatically. Services that communicated freely in the old cluster may be blocked in the new one if network policies are more restrictive.

Missing CronJob migration. CronJobs are easy to overlook. Include them in your inventory and verify they're running on the expected schedule in the new cluster.

Build your Kubernetes migration plan at gantt-chart.io—free, no account required.