← ClaudeAtlas

integration-migrationlisted

Move between API versions or providers without downtime, using parallel running and staged cutover. Use when a provider deprecates a version or you are replacing a service.
Amey-Thakur/AI-SKILLS · ★ 4 · AI & Automation · score 74
Install: claude install-skill Amey-Thakur/AI-SKILLS
# Integration migration Provider deprecations arrive on their schedule regardless of your roadmap. Migration is manageable when the integration was abstracted and painful when their model leaked through your codebase. ## Method 1. **Start from the abstraction boundary.** A well-wrapped integration confines the change; a leaked one means touching everything (see third-party-integration). 2. **Compare behaviour, not just documentation.** Run both versions against the same inputs and diff the results, since undocumented behaviour differences are where migrations break. 3. **Run in parallel before cutting over.** Shadow the new integration without acting on its results to build confidence with real traffic (see canary-analysis). 4. **Migrate behind a flag with a rollback.** Percentage cutover with an immediate revert path, because the problems appear at volume (see feature-flags-hygiene). 5. **Plan data migration separately.** Identifiers, historical records, and stored references need their own migration and often outlive the API cutover (see data-mapping). 6. **Keep the old path until the new one is proven.** Deleting the fallback on cutover day removes the option you most need. 7. **Start early relative to the deadline.** Deprecation dates are firm and discovering a blocking incompatibility late leaves no options. ## Boundaries Migration effort scales with how deeply the provider's model penetrated your system. Some changes have no equi