July 2022 Summaries

Production monitoring combines proactive alerts with observability tools that help engineers diagnose underlying causes, and a practical baseline should cover endpoint behavior, background jobs, infrastructure, and domain-specific data. For individual endpoints, monitoring status-code errors, latency, and unusual request or response patterns can quickly reveal deployment failures, degraded user experiences, or subtle API changes. Background-job monitoring should track meaningful failures, queue wait times, and queue growth while distinguishing expected, recoverable, and unexpected errors to reduce alert noise. Infrastructure signals such as Postgres CPU, storage, and connection counts, along with Redis memory use and latency, can identify impending capacity or performance issues. Most importantly, domain-data monitoring evaluates whether the application is fulfilling its intended purpose by tracking product funnels, feature outcomes, and database invariants, such as ensuring older ecommerce orders have shipped.