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Migrate to Kubernetes with evidence and control

Migration planning and implementation for teams that need workload assessment, dependency mapping, phased rollout, rollback decisions, and operational handoff.

We choose lift-and-shift, re-platforming, or re-architecture based on risk, team readiness, and production constraints.

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Migration planning and assessment

Evaluate workloads, dependencies, and constraints to design a realistic migration path to Kubernetes.

Incremental migration approach

Start with low-risk services, then scale up using patterns we refine with you.

Post-migration optimization

Tune autoscaling, resource requests, and observability so your new platform runs efficiently.

Service playbook

From problem to operating evidence

Main content is structured like a case study: context first, scoped work next, then the operating changes and evidence a team can use after handoff.

Service briefWhat we deliverMigration approachesGetting startedRelated resources

Kubernetes migration work starts with evidence: workload behavior, dependencies, release process, data paths, team readiness, and rollback constraints. We design a phased path that reduces migration risk and leaves the owning team with runbooks, observability, and clear operating responsibilities.

Case-study lens

Scoped

Problem, responsibility, and handoff boundaries before implementation.

Evidence

Dashboards, runbooks, reviews, and operating records over borrowed logos.

Outcomes

Conservative summaries focused on observable operational improvement.

ScopeSection 01

What we deliver

The work is broken into visible capabilities, acceptance points, and handoff artifacts.

Assessment step

Assessment and planning

  • Current infrastructure analysis, workload profiling, and dependency mapping
  • Kubernetes readiness assessment for applications, data stores, delivery process, and team ownership
  • Migration strategy, rollout sequence, and acceptance criteria
  • Risk register with rollback decisions and mitigation planning

What changes

Containerization

  • Application containerization with optimized Dockerfiles
  • Multi-stage builds for minimal image sizes
  • Container registry setup and CI/CD integration
  • Health checks and graceful shutdown implementation

What changes

Platform preparation

  • Kubernetes or K3s cluster design based on workload size, hosting model, and support expectations
  • Networking, ingress, TLS, identity, storage, and secrets choices documented before rollout
  • Observability, backup, and recovery requirements included in the migration plan
  • CI/CD or GitOps integration so release ownership is clear after cutover

What changes

Migration execution

  • Blue-green, canary, or staged migration strategies where they fit the workload
  • Data migration, replication, or compatibility planning for stateful systems
  • DNS, traffic, and release cutover with validation gates
  • Rollback procedures and owner decisions for every stage

Operating step

Post-migration handoff

  • Resource requests, autoscaling, cost, and performance tuning
  • Monitoring, alerting, SLO notes, and runbook updates
  • Team walkthroughs and knowledge transfer
  • Optional hypercare or transition into managed Kubernetes support
Operating modelSection 02

Migration approaches

Responsibilities, response paths, and technical changes are made explicit before work starts.

ApproachBest forRisk controls
Lift and shiftSimple stateless apps or first migration wavesreadiness check, smoke tests, rollback path
Re-platformApps needing deployment, config, or runtime changesphased rollout, compatibility testing, owner handoff
Re-architectSystems where migration exposes deeper product or reliability constraintsdecision records, staged decomposition, acceptance criteria
Next stepSection 03

Getting started

Decision points and common questions are made explicit so follow-up work is scoped cleanly.

Ready to move to Kubernetes? We will assess workload readiness, rollout risk, and rollback constraints before recommending a migration path.

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