Find the slides and additional resources: https://pganalyze.com/webinars/proact...
At first, everything runs smoothly. Queries are fast and performance is solid. But as your PostgreSQL database grows, hidden inefficiencies build up, leading to bloat, sluggish queries, and unexpected outages. By the time performance drops off a cliff, it’s usually too late for a quick resolution.
In this webinar, we’ll cover essential proactive maintenance and monitoring practices using built-in Postgres statistics views, including pg_stat_io, pg_stat_activity and pg_stat_statements, diagnostic tools like pgstattuple, Postgres log events that you should watch out for, and where proactive monitoring with tools like pganalyze fit in.
We’ll also discuss operational actions you can take such as the REINDEX command to reduce index bloat, the pg_repack / pg_squeeze tools for reducing table bloat, or tuning Postgres settings to ensure it has the right resources assigned for internal data structures. You'll learn how to uncover hidden performance risks, such as slow queries, checkpoint behavior, and connection issues, before they escalate, ensuring your database stays efficient and reliable.
In this webinar, you will learn:
Key early warning signs of performance bottlenecks, such as recurring wait events and unhealthy replication lag, that need intervention to resolve
Best practices for checkpoint tuning, including settings related to Write-Ahead Logging (WAL), and how to balance crash recovery speed with performance
Managing connections to avoid hitting limits and allocate resources effectively, and how to tune connection poolers
Indexing strategies, including when to reindex and how to assess the impact of newly added indexes, especially in terms of blocking PostgreSQL’s HOT (Heap-Only Tuple) optimization
Managing bloat by checking the autovacuum settings to ensure it’s running as expected to prevent new bloat and cleaning up existing bloat when needed
Unlocking hidden insights in logs to detect slow queries and connection issues, like timed-out queries or deadlocks
Best practices for team collaboration, to ensure DBAs, engineers, and SREs work together to prevent issues
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