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My Journey into Postgres Monitoring with Lukas Fittl & Rob Treat

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Manage episode 388402916 series 3488768
Content provided by Claire Giordano. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Claire Giordano or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Do you monitor your Postgres error logs for gold? Lukas Fittl and Rob Treat join Claire Giordano and Pino de Candia on the Path To Citus Con* podcast for developers who love Postgres—to discuss their respective journeys into Postgres monitoring. Have you ever asked yourself: “Why is my query so slow?” Or had to figure out which query is slowing things down? Or why your database server is at 90% CPU? There are so many ways to monitor Postgres: pganalyze, pgMustard, pgBadger, pgDash, your cloud provider’s Query Performance Insights, pg_stat_statements, pg_stat_io, & more. If you’re running Postgres on a managed service, what kinds of things do you need to monitor & optimize for (vs. what will your cloud service provider do)? There’s also a segue on monitoring vs. observability: what’s the difference?

*[Update: July 2024] Path To Citus Con has been renamed to Talking Postgres. All of the past podcast episodes from Path To Citus Con—now called Talking Postgres with Claire Giordano—can be found here: https://talkingpostgres.com

Links mentioned in this episode:

  continue reading

28 episodes

Artwork
iconShare
 
Manage episode 388402916 series 3488768
Content provided by Claire Giordano. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Claire Giordano or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Do you monitor your Postgres error logs for gold? Lukas Fittl and Rob Treat join Claire Giordano and Pino de Candia on the Path To Citus Con* podcast for developers who love Postgres—to discuss their respective journeys into Postgres monitoring. Have you ever asked yourself: “Why is my query so slow?” Or had to figure out which query is slowing things down? Or why your database server is at 90% CPU? There are so many ways to monitor Postgres: pganalyze, pgMustard, pgBadger, pgDash, your cloud provider’s Query Performance Insights, pg_stat_statements, pg_stat_io, & more. If you’re running Postgres on a managed service, what kinds of things do you need to monitor & optimize for (vs. what will your cloud service provider do)? There’s also a segue on monitoring vs. observability: what’s the difference?

*[Update: July 2024] Path To Citus Con has been renamed to Talking Postgres. All of the past podcast episodes from Path To Citus Con—now called Talking Postgres with Claire Giordano—can be found here: https://talkingpostgres.com

Links mentioned in this episode:

  continue reading

28 episodes

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