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[Eval][v1][en] Payment service connection pool exhaustion after batch job deploy

service: payment-svccreated: 6/2/2026, 11:46:42 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-svc p99 latency spiked from 120ms to 4.8s with 12% HTTP 500 errors due to PostgreSQL connection exhaustion caused by a new cron job (shipped at 13:50 UTC) running a full table scan on ledger_entries every 30s, consuming all 500 max_connections.

Severity reasoning: User-facing outage: customers cannot complete checkouts (revenue impact). 12% error rate and high latency affect a large subset of users. Reversible by disabling the cron job or adding an index, but immediate mitigation required.

deepseek-chat·prompt v1·output: en·9568ms·1358↑ / 1428↓ tok·$0.00194

Root cause hypotheses

  • highNew cron job in payment-svc v2.41 runs a full table scan on ledger_entries every 30s, holding connections open and exhausting the pool.

    Evidence: Deploy at 13:50 UTC matches symptom onset. Slow query log shows SELECT * FROM ledger_entries WHERE status='pending' (no index, 2.4s per execution) running every 30s. active_connections at max (500).

  • mediumConnection pool leak in payment-svc v2.41 causes connections not to be returned to pool after query execution.

    Evidence: Connection count hit max_connections rapidly; application logs show 'too many clients already'. However, the cron job pattern is more consistent with the periodic query.

  • lowExternal DDoS or traffic spike overwhelming payment-svc and DB connections.

    Evidence: No evidence of traffic spike in provided context; error rate correlates with deploy time, not gradual increase.

Investigation checklist

  1. Check if the new cron job is running and consuming connections.
    kubectl exec -n prod deploy/payment-svc -- ps aux | grep settlement

    Expected: A process running the settlement batch (e.g., 'settlement-cron') should appear.

  2. Confirm the slow query and its frequency.
    kubectl exec -n prod svc/postgres-primary -- psql -c "SELECT query, calls, total_time, rows FROM pg_stat_statements ORDER BY total_time DESC LIMIT 5;"

    Expected: The query 'SELECT * FROM ledger_entries WHERE status='pending'' should be near the top with high total_time.

  3. Check current active connections and which application is using them.
    kubectl exec -n prod svc/postgres-primary -- psql -c "SELECT state, count(*) FROM pg_stat_activity GROUP BY state;"

    Expected: Many connections in 'active' state, possibly all from payment-svc.

  4. Verify the deploy rollout status.
    kubectl rollout status -n prod deploy/payment-svc

    Expected: Rollout complete at 13:50 UTC.

  5. Check if there is a feature flag to disable the cron job.
    kubectl exec -n prod deploy/payment-svc -- env | grep SETTLEMENT

    Expected: An environment variable like SETTLEMENT_CRON_ENABLED=true might exist.

Mitigation plan

  • Immediately disable the settlement cron job by scaling down the cron workload or toggling a feature flag.

    Risk: Settlement batch will not run, potentially delaying financial reconciliation. No data loss.

    Rollback: Re-enable the cron job after adding an index on ledger_entries.status.

  • Kill existing slow queries to free up connections.

    Risk: May cause incomplete transactions; ensure no data corruption by checking for open transactions first.

    Rollback: No rollback needed; queries will be retried.

  • Add an index on ledger_entries.status to prevent full table scans.

    Risk: Index creation may lock the table briefly; schedule during low traffic or use CONCURRENTLY.

    Rollback: DROP INDEX IF EXISTS idx_ledger_entries_status;

Customer impact

Customers are experiencing failed checkouts with HTTP 500 errors. Approximately 12% of checkout attempts are failing. No ETA yet; mitigation in progress.

Postmortem draft

Postmortem: Payment-svc Latency Spike and Error Rate

Date: YYYY-MM-DD Severity: SEV1 Summary: 2-3 sentence summary

Timeline

  • 13:50 UTC - Deploy payment-svc v2.41 with settlement cron
  • 14:02 UTC - Latency spike detected
  • 14:04 UTC - Pager triggered
  • 14:06 UTC - Initial misdiagnosis (DB CPU fine)
  • [Add mitigation times]

Impact

  • p99 latency 4.8s, 12% error rate
  • Failed checkouts for customers

Root Cause

New cron job running full table scan every 30s exhausted DB connections.

What Went Well

  • Monitoring detected issue quickly

What Went Poorly

  • Initial misdiagnosis delayed mitigation
  • No index on status column
  • Cron job not tested under load

Action Items

  • [ ] Add index on ledger_entries.status
  • [ ] Add connection pool monitoring alert
  • [ ] Add load test for cron jobs
  • [ ] Review deploy process for cron changes

Follow-ups

  • P0Add index on ledger_entries.status to prevent full table scans.service owner
  • P1Set up alert on active_connections approaching max_connections.platform team
  • P1Add load testing for new cron jobs before production deploy.service owner
  • P2Review deploy process to require performance review for cron changes.platform team