System Migration
Kubernetes Migration
Move Kubernetes workloads across clusters, versions, data centres, or clouds while controlling manifests, data, traffic, and rollback.
Kubernetes migration involves more than YAML resources. Storage, secrets, ingress, identity, policy, operators, observability, and platform integrations form one dependency graph.
When this service is needed
- A cluster is changing provider, region, distribution, or version.
- Workloads must leave an unstable or unsupported cluster.
- Configuration and delivery need standardising through GitOps.
- Persistent data and traffic require a transition strategy.
Scope
- Namespace, workload, CRD, operator, policy, and dependency inventory.
- Target-cluster baseline for networking, storage, identity, and security.
- Manifest normalisation with Helm, Kustomize, or GitOps repositories.
- Image, secret, certificate, persistent-data, and registry migration.
- Traffic shifting, DNS, canary, cutover, and rollback.
- Functional, capacity, resilience, observability, and recovery testing.
Migration stages
- Discovery: inventory assets, dependencies, owners, and criticality.
- Design: define the target, migration method, acceptance criteria, and rollback.
- Rehearsal: test tools, timings, data, and procedures within a controlled scope.
- Cutover: execute the move through checklists and escalation paths.
- Validation: prove function, integrity, security, and performance.
- Stabilisation: monitor outcomes, remediate findings, and retire legacy systems.
Deliverables
- Inventory and dependency map.
- Migration runbook, cutover plan, and rollback plan.
- Test and reconciliation evidence.
- Target-environment documentation and decommission plan.
Intended outcomes
Workloads operate on the target cluster with controlled configuration, consistent data, validated traffic, and a legacy platform ready for retirement.