Crunchy Bridge: More Postgres Power, Less Administration. A better option for your Postgres hosting. With a rich set of extensions like PL/Python + SciPy/NumPy/Pandas and more on demand, Crunchy Bridge is made for modern apps. Built by Postgres experts and the team who brought you Heroku Postgres.

Announcing Crunchy Bridge: A Modern Postgres as a Service - As of today, Crunchy Bridge is available on Amazon Web Services (AWS) and Microsoft Azure. Crunchy Bridge is fully self-service, no annual contracts needed. You can go beyond the basics with the support of Crunchy Data experts at your side. 

Hidden Gems of Postgres 13 - Each release has a lot of these "hidden gems" -- features that may not jump off the page, but can have a big impact when you actually need them. Postgres 13 is no exception: some of these features make it easier to write queries, add additional layers of security, or help you to avoid downtime.

How to Setup PostgreSQL Monitoring in Kubernetes - You don't need monitoring until you need it. But if you're running anything in production, you always need it. Learn how to set up monitoring for the PostgreSQL Operator in this blog post.

PostgreSQL 13 Upgrade and Performance Check on Ubuntu/Debian - Greg Smith demonstrates his performance check for PostgreSQL 13. Check out his results or run a test yourself using this guide.

PostgreSQL Monitoring for Application Developers: The Vitals - The Postgres Operator monitoring stack uses the Kubernetes support of pgMonitor to collect metrics about the deployment environment (e.g. Pods) and the specific PostgreSQL instances. 

Three Easy Things to Remember About Postgres Indexes - If you're an application developer, analyst, data scientist, or anyone who's had to figure out how to work with relational databases, chances are you're familiar with indexes. If you're getting started with learning about indexes, here are a few things that should help round out your understanding.

Synchronous Replication in PostgreSQL - Depending on your business requirements, you may only need  the default asynchronous behavior, or you may need to configure one or more synchronous replicas. Fortunately, PostgreSQL lets you choose and provides options for tuning the consistency and performance (latency) behavior depending on your requirements.

Many of you are already users of our Crunchy Data PostgreSQL Operator. If you are, but haven't already starred it on GitHub we'd love it if you hop over there and give it a star. It helps us get it in front of others that can benefit from it the same way you have. Thanks!