Introducing WAL-G: 4x faster DR for Postgres

A key part of running a reliable database service is ensuring you have a good plan for disaster recovery. Hence you need continuous archiving. In August, we introduced WAL-G (the successor to WAL-E) to the Postgres user community as open source, with thanks to the great work by our summer engineering intern from UC Berkeley, Katie Li. Go WAL-G!
Read more → 

Put a fork in it

Imagine having a full staging environment to experiment with, that is an exact copy of your production database? Now with Citus Cloud, you can get a full fork of your database with the click of a button.
Read about the fork feature in Citus → 

Principles of sharding for relational databases

Some say sharding is the best way to scale a database. Others find the topic of sharding to be controversial. Whose advice should you take? ICYMI here is our CTO’s Ozgun Erdogan’s perspective.
Read Ozgun’s principles of sharding →

Are you going to PostgresOpen SV on Sep 6-8?

We love Postgres users & Postgres developers alike. So we’re pleased to sponsor this community-run conference in our own backyard, at the Parc55 Hilton in San Francisco on Sep 6-8. There are a few tickets left—we hope to see you there. Register for PostgresOpen SV → 

Citus Data speaker lineup at PostgresOpen SV

Citans Ozgun Erdogan & Marco Slot are giving one of the keynotes at PostgresOpen SV. Other Citus Data speakers include Burak Yucesoy (his talk is on HyperLogLog and Postgres) and Marco Slot on PostgreSQL as a distributed computing platform. And Sai Srirampur will be giving a tutorial with Ozgun on designing your multi-tenant database for scale.
See the PostgresOpen SV schedule → 

Five sharding data models and which is right

Our head of cloud, Craig Kerstiens, walks through different approaches to sharding to help you figure out which type of sharding is right for you. (Spoiler alert: yes, sharding by customer is on the list. Because multi-tenant applications are a thing we care a lot about.)
Read Craig’s post on sharding → 

Really interesting summer database reads

• Comparison of Advanced, Modern Cloud Databases by Brandur
• How to Compete With the Cloud by Stephen O’Grady
• A Fare Cache in a Sharded Data Cluster by Hipmunk Engineering