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Now it’s time to move from planning into execution. After weeks of mapping components and designing the target architecture, this lesson shows how to begin shifting workloads from the legacy platform to the new one. The execution phase is iterative and hands-on: install core platform components, migrate services incrementally, verify observability and integrations, publish the new implementations, then decommission legacy counterparts. The migration approach below emphasizes a repeatable, low-risk cycle and strong observability coverage so you can detect regressions and operational issues early.

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Migration cycle (repeatable)

Follow a small-batch, repeatable loop. Each iteration should be scoped to a single component, service, or small group of related components.
StepPurposeKey actions
Install core platform componentsPrepare the target environmentDeploy observability agents, collectors, authentication, and central dashboards
Select a component to migrateLimit blast radiusChoose one service or small subsystem with clear dependencies
Migrate and validate observabilityEnsure telemetry continuityVerify metrics, logs, traces, dashboards, and alerts for the migrated component
Publish migrated componentPromote to productionFlip routing/feature flags or update deployment targets
Deactivate legacy implementationRemove duplicated workDecommission or disable old service once validated
RepeatContinue until migration completeContinue iterating until all components are migrated
Use feature flags, canary releases, and small-batch rollouts to reduce risk. After each iteration, update runbooks, documentation, and on-call alerts so the operations team has accurate information during incidents.

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Validation and observability

During every migration iteration verify both functional correctness and observability:
  • Validate end-to-end functionality: API responses, background jobs, scheduled tasks.
  • Confirm telemetry integrity: metrics, logs, traces, and distributed tracing links.
  • Validate dashboards and alerts: ensure existing alerts fire appropriately and dashboards reflect the new implementation.
  • Add tests and synthetic checks to prevent regressions.
Include observability checks as part of your CI/CD pipeline and post-deployment validation tasks so telemetry gaps are detected early.

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Managing technical debt during migration

Technical debt often accumulates when teams take shortcuts to meet deadlines or unblock work. If left untracked, debt slows future development and increases operational risk. Treat debt as first-class work and incorporate remediation into migration sprints.
ActionWhy it mattersExample
Identify and document deviationsEnsures visibility and prioritizationCreate backlog items for every intentional workaround
Prioritize by risk and impactFocus limited effort on high-value fixesPrioritize items that affect availability or observability
Include remediation in migration sprintsAvoid indefinite deferralSchedule fixes alongside migration tasks
Use small-batch rolloutsMinimize blast radius of risky changesCanary or phased deployment strategies
Validate observability coveragePrevent blind spotsAdd dashboards, alerts, and tests for migrated components
Communicate deprecationsReduce surprise to consumersUpdate API docs and notify stakeholders of timeline
Track technical debt items as first-class work items in your backlog. Address high-risk debt early and schedule lower-risk items into regular maintenance windows.
The image is a flowchart outlining steps for starting a migration process, including installing core components, migrating, verifying, publishing, and deactivating, with a loop for repeating the process. It also mentions controlling technical debt, dashboards, and alerts.

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Practical checklist (quick reference)

  • Install and verify observability agents, collectors, and central dashboards.
  • Pick one small component for the next migration iteration.
  • Validate metrics, logs, and traces before and after migration.
  • Update dashboards and alerts to reference the new implementation.
  • Run canaries or smoke tests in production-like traffic.
  • Flip traffic or promote the new service once validated.
  • Decommission the legacy component and update runbooks.
  • Close or reschedule tracked technical debt items.
That’s it for this lesson — apply the cycle repeatedly, keep observability tight, and treat technical debt as work to be planned and tracked.

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