ObservabilityintermediatePro runbook

Spot checkpoint write pressure before it hurts

Requested checkpoints rising faster than timed checkpoints means WAL volume is ending checkpoint cycles early. Measure deltas around a representative workload before changing max_wal_size.

Problem

What you're actually looking at

The symptom as it shows up on a real server.

A write burst can reach max_wal_size before checkpoint_timeout. PostgreSQL still paces checkpoint writes, but the available window can end sooner, making I/O more intense. Measure timed/requested deltas instead of assuming every requested checkpoint is an unthrottled burst.

A batch job on Meridian's write path produces enough WAL to fill max_wal_size repeatedly. Users report periodic stalls that do not line up with any cron entry.

Simple terms

PostgreSQL spreads checkpoint writes to avoid flooding storage. A large WAL burst can force the next checkpoint cycle to start before the timeout, shortening the headroom available for that pacing. The timed-versus-requested counters tell you whether the clock or WAL volume is ending cycles; take before/after deltas around real work rather than reading lifetime totals.

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