Presented by:

27b304f67c0cadfa2f37a19f01af8f89

Lukas Fittl

Citus Data

Principal Engineer on the Citus Cloud team at Citus Data, developing and operating a distributed PostgreSQL-as-a-Service.

Creator of pganalyze.com, hosted PostgreSQL Performance Monitoring, author of pg_query (Ruby extension to parse queries using the raw_parser) and other tools. I love working with PostgreSQL statistics and visualizing them.

No video of the event yet, sorry!

To many developers the database is a black box. You expect to be able to put data into your database, have it to stay there, and get it out when you query it... hopefully in a performant manner. When its not performant enough the two options are usually add some indexes or throw some hardware at it.

We'll walk through a bit of a clearer guide of how you can understand how your database is doing from a 30,000 foot perspective as well as how your application needs to be changed over time to keep your database performant.

In particular we'll cover:

  • Postgres Caching & Indexing
  • How to read EXPLAIN Plans
  • Optimizing applications built on Django and Rails
  • Scaling to 10GB -> 100GB -> 1TB

Date:
Duration:
50 min
Room:
Conference:
PGConf US 2017
Language:
English
Track:
Operations
Difficulty:
Medium