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Articles tagged: videos

This year, I was so excited about doing a workshop about optimizing Python & Django apps with Postgres superpowers for the PyCon 2020 conference.

Working with other developers on performance is something I always find amazing. So props to the Python people at Microsoft who encouraged my team to create a workshop on Postgres for PyCon 2020. Thank you to Nina Zakharenko, Dan Taylor, & Crystal Kelch.

Alas, we had to change our plans and find other ways to share the PostgreSQL workshop content that we had prepared. So I created a video on the topic of database performance for Django developers, to help teach you the PostgreSQL tips and tricks that have served me well in optimizing my Django apps. These tips are what I call “Postgres superpowers.”

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Will Leinweber

\watch ing Star Wars in Postgres

Written byBy Will Leinweber | December 14, 2018Dec 14, 2018

I recently had the honor of speaking at the last Keep Ruby Weird. A good part of the talk dealt with Postgres and since Citus Data is not only a database company but also a Postgres company, I figured sharing those parts on the Citus Data blog would be a good idea. If you’d like to see it in talk form, or you’d also like to know how to watch movies rendered as emojis in your terminal, I encourge you to watch the talk.

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Samay Sharma

Fermi Estimates On Postgres Performance

Written byBy Samay Sharma | September 29, 2017Sep 29, 2017

A lot of people look to Citus for a solution that scales out their Postgres database, whether on-prem or as open source or in the cloud, as a fully-managed database as a service. And yet, a common question even before looking at Citus is: “what kind of performance can I get with Postgres?” The answer is: it depends. The performance you can expect from single node Postgres comes down to your workload, both on inserts and on the query side and how large that single node is. Unfortunately, “it depends” often leaves people a bit dissatisfied.

Fortunately, there are some fermi estimates, or in laymans terms ballpark, of what performance single node Postgres can deliver. These ballparks apply both to single-node Postgres, but from there you can start to get estimates of how much further you can go when scaling out with Citus. Let’s walk through a simplified guide for what you should expect in terms of the read performance and ingest performance for queries in Postgres.

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