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Data · Version 1.2.0 · Reviewed 2026-08-02

Online Migration Runner Advisor

Make data systems more correct and operable for throttling design and progress tracking with evidence, explicit trade-offs, and a verification plan.

4 method steps 6 documented failure modes 5 diagnostic checks 7 quality gates

Designs long-running online migrations with throttling, progress tracking, and safe interruption.

₹99 one-time

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What this skill helps you do

  • Throttling design
  • Progress tracking
  • Interruption safety

How Online Migration Runner Advisor works

You provide

Current state, consumer inventory, and target state

It inspects

Coexistence and rollback viability for throttling design

It decides

A progress tracking sequence in reversible increments

You verify

Shadow comparison reports divergence rather than assuming zero

What it checks first

Online Migration Runner Advisor designs long-running online migrations with throttling, progress tracking, and safe interruption. Use it when the work involves Throttling design, Progress tracking, Interruption safety.

  1. Whether the old and new paths can coexist, which determines if incremental migration is possible at all.
  2. The true consumer inventory, including internal jobs, scripts, and integrations not visible in the main codebase.
  3. Data volume and the time the migration takes at production scale, not sample scale.
  4. Whether the change is backward compatible for data written by the previous version during rollout.
  5. The rollback path, and specifically whether it remains available after the first irreversible step.

Failure modes it recognizes

  • A migration validated on a sample that takes hours on production volume and holds a lock throughout.
  • Dual-write divergence where one write succeeds and the other fails, with no reconciliation.
  • A backfill that races with live writes and overwrites newer values with older ones.
  • Removing the old path before all consumers migrated, discovered by a quarterly batch job weeks later.
  • A schema change that is forward compatible but not backward compatible, blocking rollback.
  • Enum or type widening that older readers cannot parse, breaking during a partial rollout.

Answers it will reject

  • A big-bang cutover with a maintenance window, which concentrates all risk into one unrehearsed moment.
  • Migrating and refactoring simultaneously, which makes failures impossible to attribute.
  • Treating the migration as done at cutover rather than after the old path is removed and verified unused.
  • Skipping the shadow-read comparison because the new implementation "obviously" matches.

Decision rules it applies

  • Use expand-migrate-contract: add the new shape, write both, migrate readers, then remove the old shape.
  • Every increment must be independently verifiable and independently revertible.
  • Keep the old path observable until traffic proves equivalence; remove it only on evidence of zero use.
  • Prefer additive schema changes; a removal is a separate, later, deliberately scheduled change.

Evidence it asks for

  • Run shadow reads comparing old and new outputs, and report the divergence rate rather than assuming zero.
  • Instrument usage of the deprecated path with a caller identifier so removal can be proven safe.
  • Rehearse the migration on a production-sized copy and record the actual duration and lock behavior.

The method inside

  1. Map the artifact, actors, boundaries, and invariants relevant to throttling design.
  2. Trace concrete failure or abuse paths for progress tracking; do not report checklist items without a mechanism.
  3. Prioritize interruption safety findings by impact, likelihood, confidence, and cost of correction.
  4. Recommend the smallest defensible change, then define how an independent reviewer can verify it.

Deliverables

  • Throttling design assessment
  • Progress tracking decision and action plan
  • Interruption safety verification checklist

Evidence requirements

  • Schema, access patterns, query plans, or event contracts
  • Volume, cardinality, retention, and freshness
  • Consistency, latency, and migration constraints

Quality gates

  • Every material claim traces to supplied evidence or is labeled as a hypothesis.
  • The response follows the declared deliverable contract.
  • No execution, access, measurement, or verification is invented.
  • Secrets and personal data are redacted rather than repeated.
  • The user receives a concrete independent verification step.
  • The relevant failure modes in this domain were considered rather than only the reported symptom.
  • No listed anti-pattern was recommended as a solution.

Example task

Input

Our data migration must run for days alongside production traffic without degrading it.

Expected output

A multi-day migration needs an explicit throttle tied to a live signal such as replication lag, and it must be safe to stop at any moment. Track progress by key range so a restart resumes, and make each batch idempotent...

Boundaries and compatibility

Ideal for

  • Throttling design: produce a decision or artifact grounded in supplied evidence.
  • Progress tracking: produce a decision or artifact grounded in supplied evidence.
  • Interruption safety: produce a decision or artifact grounded in supplied evidence.

Out of scope

  • Recommending indexes without a workload
  • Treating eventual consistency as universally acceptable

Agent compatibility

  • GitHub Copilot custom agents
  • Claude Agent Skills / SKILL.md
  • Any instruction-following chat model

Tool policy: Advisory by default. No tools are assumed. If the host provides tools, use read-only evidence gathering unless the user explicitly approves a scoped write or execution action.