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Pattern guide

Synchronization

Keep two systems consistent by detecting and applying drift in a repeatable loop.

Intent

Keep two systems consistent by detecting and applying drift in a repeatable loop.

When to use

  • Two systems must remain aligned over time.
  • The source of truth can change frequently.
  • Manual reconciliation is too slow or error-prone.

Core mechanics

  • Identify a source of truth and a target system.
  • Fetch both states and compute a deterministic diff.
  • Apply changes with idempotent safeguards.
  • Record actions and outcomes for auditability.

Implementation checklist

  1. Define sync rules and conflict resolution.
  2. Build a diff phase and a dry-run mode.
  3. Add rate limiting and retries for APIs.
  4. Store audit logs and summaries per run.
  5. Schedule and monitor sync cadence.

Failure modes and mitigations

  • Rate limits or API errors -> backoff, retry, and checkpointing.
  • Partial runs -> resume from checkpoints and re-run diffs.
  • Conflicting updates -> prioritize source of truth and log overrides.

Observability and validation

  • Planned vs applied changes per run.
  • Error rates and failure categories.
  • Sync lag and last successful run time.

Artifacts

  • Diff reports and audit logs.
  • Sync summaries with counts and timing.
Seen in production

Seen in production as

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