Payment Service HTTP 503 Spike After Release

SkillMonitoring & ops

Guides your agent through investigating payment service 503 errors after a release and proposing an approved rollback.

Available today. Use it from your connected AI after setup.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the Payment Service HTTP 503 Spike After Release skill

About this skill

Hermes-native AIOps agent for evidence-driven incident response, approval-gated remediation, and runbook learning.

What this skill tells your AI

The instructions your AI receives, as published by tommy-yw/runbookhermes in skills/runbooks/payment-503-spike/SKILL.md and read by ahel’s review.

Use this skill when payment-service starts returning HTTP 503 shortly after a release, especially after version v2.3.1.

Goal

Find whether the new release caused a database connection pool regression, then propose a safe rollback path.

Evidence to collect

  1. prom_top_anomalies(service="payment-service")
    • Look for http_503_rate, p95 latency, and request volume changes.
  2. loki_query(service="payment-service", query="connection pool exhausted")
    • Look for database pool exhaustion or timeout messages.
  3. trace_search(service="payment-service", error_only=true)
    • Look for slow or failed spans to mysql-payment.
  4. recent_deploys(service="payment-service")
    • Check whether v2.3.1 was deployed shortly before the HTTP 503 increase.
  5. incident_rca_guard(...)
    • Confirm the evidence is consistent before producing the final RCA.
  6. action_policy_guard(...)
    • Generate policy-checked actions.

Decision logic

A release regression is likely when all of these are true:

  • payment-service has a recent deployment such as v2.3.1.
  • HTTP 503 rate increases after the deployment.
  • Logs include connection pool exhausted or similar DB pool messages.
  • Trace evidence points to mysql-payment latency or failed spans.

Recommended action

If the above evidence is present, propose:

  • rollback_canary(service="payment-service", target_revision="v2.3.0", dry_run=true) first.
  • If the operator approves, call rollback_canary(..., dry_run=false, approval_id="...").
  • Then call verify_recovery(service="payment-service").

Safety rules

  • Never execute rollback without approval.
  • Always create a checkpoint before destructive execution.
  • Keep raw logs and full traces out of stable memory.
  • Final answer must cite evidence IDs.

Final answer template

  • Root cause: ...
  • Evidence: ev_metric_http_503_rate, ev_log_pool_exhausted, ev_trace_mysql_latency, ev_deploy_v231
  • Recommended action: rollback from v2.3.1 to v2.3.0 after approval.
  • Verification: check HTTP 503 rate and p95 latency for 10 minutes.

Signals

GitHub stars
547
Forks
41
Last commit
May 2026
Advanced
Item type
skill
Key
payment-503-spike
Source
github.com/tommy-yw/runbookhermes