planetscale-traffic-control-recommendations

Élaborer un plan de recommandations sécurisé pour les budgets et règles de contrôle du trafic de la base de données PlanetScale Postgres sans les appliquer.

npx skills add https://github.com/planetscale/skills --skill planetscale-traffic-control-recommendations

Database Traffic Control recommendations

Purpose

For PlanetScale Postgres, recommend Traffic Control budgets and rules that protect critical traffic from runaway queries, traffic spikes, batch jobs, agents, and third-party integrations. Do not create or change budgets without approval.

Preconditions

Run this skill only for PlanetScale Postgres.

Before recommending rules, inspect:

  • Current budgets and rules.
  • Insights query patterns.
  • Current query tags.
  • Application routes and jobs.
  • Known critical paths.
  • Known expensive non-critical paths.
  • Active incidents or recent anomalies.

If query tags are missing, recommend tagging first unless a fingerprint-specific rule is clearly needed for an immediate known offender.

Candidate traffic slices

Look for:

  • Exports.
  • Reports.
  • Search endpoints.
  • Admin dashboards.
  • Backfills.
  • Workers and queues.
  • Webhooks from third-party systems.
  • BI tools.
  • Agent-generated read queries.
  • High-frequency polling.
  • Known expensive query fingerprints.
  • Customer-triggered endpoints with high variance.

Budget modes

Recommend in this order:

  1. warn mode first for normal rollout.
  2. Observe warnings and false positives.
  3. Tune tags, fingerprints, and thresholds.
  4. Move to enforce only with explicit approval and an emergency rollback path.

Do not recommend starting directly in enforce unless there is an active incident and the operator explicitly asks for emergency mitigation.

Rule strategy

Prefer tag-based rules when tags are stable and bounded:

  • source=agent
  • source=bi
  • feature=export
  • feature=report
  • route=/admin/reports
  • job=DailyBackfill
  • service=analytics-worker

Use fingerprint rules when:

  • A specific known query pattern is dangerous.
  • Tagging is missing or unreliable.
  • The query source is hard to attribute.

Use a separate budget for each materially different traffic class.

Do not combine unrelated traffic in one budget because it hides who is consuming the budget.

Suggested default budgets

Use these as recommendation patterns, not as values to apply blindly.

Agent budget

Target: queries tagged source=agent or source=mcp.

Intent: prevent agents from starving application traffic.

Mode: start in warn.

Recommendation: agents should prefer replicas and read-only scopes. Writes require human approval.

Export/reporting budget

Target: feature=export, feature=report, or specific report route/job.

Intent: keep customer-triggered reporting from consuming all database resources.

Mode: start in warn; consider enforce after observation.

Background job budget

Target: worker service, queue, or job tags.

Intent: prevent backfills and retries from starving interactive traffic.

Mode: warn first; enforce only after confirming queue backpressure behavior.

Third-party integration budget

Target: source=integration, partner-specific bounded tags, or route templates for inbound integration calls.

Intent: isolate unpredictable partner behavior.

Mode: warn first.

Known fingerprint budget

Target: specific expensive query fingerprint.

Intent: contain a known pathological query while code or schema fixes are developed.

Mode: warn first unless emergency.

“Each tag value” strategy

When PlanetScale supports applying a budget separately for each unique value of a selected tag, recommend it for bounded tags such as:

  • application
  • service
  • route when normalized
  • job
  • feature
  • source

Do not recommend it for unbounded tags such as user IDs, request IDs, raw tenant IDs, emails, UUIDs, or raw URLs.

Limits and caveats to include

Every recommendation must explain:

  • Traffic Control limits resource use; it does not replace query tuning.
  • It is not a web application firewall.
  • It does not replace application-level rate limits.
  • Limits are guardrails, not exact guarantees for every failure mode.
  • Bad tags create bad rules.
  • Enforce mode can reject queries and affect application behavior.

Output format

For each proposed budget:

  • Budget name.
  • Target branch.
  • Mode: off, warn, or enforce.
  • Matched traffic slice.
  • Rule type: tag, fingerprint, keyspace, query kind.
  • Proposed tags or fingerprint.
  • Limit rationale.
  • Queries seen in Insights that justify it.
  • Safety risk.
  • Test/observe plan.
  • Rollback plan.
  • Approval requirement.

End with:

“No Traffic Control budgets or rules have been created, updated, deleted, or enforced.”

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