pgwd in Production: From Alerts to Runbook

This is a production-focused follow-up to my original post: pgwd: A Watchdog for Your PostgreSQL Connections . In this one, I show what pgwd looked like in action, how we responded, and what we changed in a controlled way. When PostgreSQL connection pressure builds up, the real problem is not just crossing max_connections ; it is crossing it without operational context. That is where pgwd helped us most: not as "just another alert sender," but as a signal-to-action layer for on-call decisions. What happened (anonymized timeline) In one of our production environments, we saw a fast escalation pattern: attention (75%) then alert (85%) then repeated danger (95%+) All within a relatively short window. The key signal from Slack was not only the threshold level, but also the breakdown: total active idle max_connections plus cluster , database , namespace , and client That context let us decide quickly whether we were seeing true workload pressure, connection churn, or an idle-heavy pattern t