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[Eval][v3][en] Payment service connection pool exhaustion after batch job deploy

service: payment-svccreated: 6/2/2026, 11:49:49 PM

Raw incident context

Time: 14:02 UTC. payment-svc p99 latency jumped from 120ms to 4.8s within ~3 minutes.
Error rate climbed from 0.1% to 12% (mostly HTTP 500).
Application logs (last 5min): repeated "FATAL: sorry, too many clients already" and "connection refused"
from payment-svc → postgres-primary.

Postgres metrics:
- CPU: 35% (normal)
- active_connections: 500 / 500 (max_connections)
- waiting_queries: 87
- slow_query_log shows a new query running every 30s: SELECT * FROM ledger_entries WHERE status='pending'
  (no index on status; full table scan over ~12M rows, ~2.4s per execution)

Deploy history:
- 13:50 UTC — payment-svc v2.41 shipped. Changelog mentions "added nightly settlement batch (cron: */30 * * * *)"
- No infra/DB changes in past 7 days.

On-call notes (Slack):
- 14:03 — CS reports failed checkout volume rising
- 14:04 — Pager: PaymentSvcErrorRateHigh
- 14:06 — "DB looks healthy, CPU is fine" (initial mis-diagnosis)

Summary

SEV1

Payment service p99 latency spiked from 120ms to 4.8s and error rate rose to 12% due to a new cron job in v2.41 that runs a full table scan on ledger_entries every 30s, exhausting the Postgres connection pool (max 500). Customers are experiencing failed checkouts.

Severity reasoning: User-facing outage: error rate > 1% for >5 min (12% for ~12 min), revenue path broken (failed checkouts). Matches SEV1 criteria.

deepseek-chat·prompt v3·output: en·11063ms·1990↑ / 1631↓ tok·$0.00233

Root cause hypotheses

  • highNew cron job in payment-svc v2.41 runs a full table scan on ledger_entries every 30s, consuming connections and blocking other queries.

    Evidence: Deploy at 13:50 UTC added cron '*/30 * * * *' for settlement batch. Slow query log shows SELECT * FROM ledger_entries WHERE status='pending' (no index, 2.4s, 12M rows). Active connections at 500/500.

  • mediumConnection pool leak in payment-svc v2.41 causes connections not to be released after queries.

    Evidence: Active connections at max, but no direct evidence of leak. Could be secondary factor.

  • lowPostgres primary is under-provisioned for current load, leading to connection queueing.

    Evidence: CPU at 35%, not high. max_connections=500 is a hard limit, not a performance issue.

  • lowNetwork issue between payment-svc and Postgres causing connection timeouts.

    Evidence: No network errors in logs; 'connection refused' is from Postgres rejecting new connections due to pool exhaustion.

Investigation checklist

  1. Check if the new cron job is running and its query plan.
    kubectl logs -n prod -l app=payment-svc --since=30m | grep -i 'settlement\|cron\|batch' | tail -20

    Expected: Entries showing execution of settlement batch every 30s.

  2. Confirm the slow query and its impact on connections.
    SELECT pid, query_start, state, wait_event_type, query FROM pg_stat_activity WHERE state != 'idle' AND query LIKE '%ledger_entries%' ORDER BY query_start LIMIT 20;

    Expected: Multiple queries with state 'active' and long query_start times.

  3. Check if the query is missing an index.
    \d+ ledger_entries

    Expected: No index on 'status' column.

  4. Verify connection pool exhaustion.
    SELECT count(*) FROM pg_stat_activity WHERE state != 'idle';

    Expected: Count near 500.

  5. Check if rolling back the deploy resolves the issue.
    kubectl rollout undo deployment/payment-svc -n prod

    Expected: Deployment rolled back to previous version.

Mitigation plan

  • Immediately roll back payment-svc to v2.40 to remove the cron job.

    Risk: Brief increase in errors during rollback; no data loss.

    Rollback: Re-apply v2.41 if needed after fix.

  • If rollback is not possible, kill the offending cron job process and disable the cron schedule.

    Risk: May need to identify the specific process; could miss if multiple instances.

    Rollback: Re-enable cron after fix.

  • Temporarily increase max_connections in Postgres to 1000 to relieve pressure.

    Risk: May cause memory pressure on DB; monitor CPU and memory.

    Rollback: Set back to 500 after mitigation.

  • Add an index on ledger_entries.status to speed up the query.

    Risk: Index creation locks table briefly; could cause short blip.

    Rollback: Drop index if needed.

Customer impact

Customers are experiencing failed checkouts and payment processing errors. Approximately 12% of checkout attempts are failing with HTTP 500 errors. The issue started around 14:02 UTC and is ongoing.

Postmortem draft

Summary

Payment service p99 latency spiked and error rate increased due to a new cron job introduced in v2.41 that performed a full table scan on ledger_entries, exhausting the Postgres connection pool.

Timeline (UTC)

  • 13:50 - payment-svc v2.41 deployed with new cron job
  • 14:02 - Latency and error rate spike detected
  • 14:03 - Customer reports of failed checkouts
  • 14:04 - Pager alert triggered
  • [FILL IN] - Rollback initiated
  • [FILL IN] - Service restored

Impact

  • p99 latency: 4.8s (up from 120ms)
  • Error rate: 12% (up from 0.1%)
  • Affected users: All users attempting checkout during incident

Root Cause

A new cron job in payment-svc v2.41 ran a query without an index on ledger_entries.status, causing a full table scan every 30 seconds. This consumed all available database connections, blocking legitimate traffic.

Detection

Alert: PaymentSvcErrorRateHigh triggered at 14:04. Customer reports preceded alert.

Response

  • On-call engineer investigated and identified the slow query
  • Rollback of v2.41 performed
  • Index added to prevent recurrence

What Went Well

  • Quick identification of the slow query
  • Rollback was straightforward

What Went Poorly

  • Initial misdiagnosis that DB was healthy
  • No pre-deployment performance testing for new cron jobs

Action Items

  • Add index on ledger_entries.status
  • Add runbook for connection pool exhaustion
  • Implement pre-deployment query performance checks

Follow-ups

  • P0Add index on ledger_entries.status to prevent full table scans.database-administrator
  • P1Implement pre-deployment performance testing for new cron jobs/queries.platform-team
  • P1Add monitoring and alerting for database connection pool usage.observability-team
  • P2Update runbook for connection pool exhaustion and slow query handling.on-call SRE
  • P2Review deployment process to include changelog review for performance impact.platform-team