Posts about Kubernetes

One of the great new features recently added to Kubernetes - native Sidecar Containers - continues to get closer to GA with each new Kubernetes release. I was reviewing all of the great progress recently made by the Kubernetes Enhancement Proposal (KEP) on Sidecar Containers

We are excited to announce the release of Crunchy Postgres for Kubernetes 5.7! This latest version brings a wealth of new features and enhancements designed to make your Postgres deployments on Kubernetes more flexible, efficient, secure, and robust than ever before.

We have highlighted a few of the features that we are excited about below. You can also check out the release notes for more details

Backups are dead. Now that I have your attention, let me clarify. Traditional backups have earned a solid reputation for their reliability over time. However, they are dead in the sense that a backup is essentially useless until it's restored—essentially "resurrected." In this post, we'll explore best practices for managing PostgreSQL snapshots and backups using pgBackRest. We will then provide some guidance of how you apply these techniques in Kubernetes using the Postgres Operator (PGO) from Crunchy Data. Whether you're overseeing a production environment, handling replicas, or refreshing lower environments, understanding how to effectively manage snapshots is key.

One of the major changes that the cloud brought to application and database management was the concept of "thin provisioning." With large amounts of compute or storage resources available behind an API, you can provision what you need now and expand your infrastructure as required. Frameworks like 12Factor

As a team you often get handed a piece of software to deploy and manage, for example Red Hat's Ansible Automation Platform (AAP) or Quay. Red Hat's guide is to run and manage this in OpenShift and great, you're already comfortable with OpenShift and have a decent size deployment. Turns out pretty early on you've got a decision to make you didn't even realize was a decision, what are you going to do about the database? Most software needs a database – and the database of choice is overwhelmingly Postgres. But managing stateful systems is a different commitment than stateless apps.

In fact we have the conversation all the time with customers that need Postgres, want Postgres. While some want to manage and be responsible for their database others don't. Well today you've got another choice. You can still have your database integrated with Crunchy Postgres for Kubernetes

We are excited to introduce Crunchy Postgres for Kubernetes (CPK) 5.6, the latest version of our PostgreSQL Kubernetes operator. This release brings several new features that will elevate your PostgreSQL experience to new heights, ensuring better management, automation, and scalability.

Autogrow Postgres storage

In my role as a Solutions Architect at Crunchy Data, I help customers get up and running with Crunchy Postgres for Kubernetes (CPK). Installing and managing a Postgres cluster in Kubernetes has never been easier. However, sometimes things don't go as planned and I’ve noticed a few major areas where Kubernetes installations go awry. Today I want to walk through some of the most common issues I see when people try to get up and running with Postgres in Kubernetes and offer a list of basic troubleshooting ideas to get started. Now sure, your issue might not be in here, but if you’re just trying to diagnose a bad install or a failing cluster, here’s my go to list of where to get started

The Order of Things: CRD, Operator, Cluster, Pod

We recently announced the latest update of Crunchy Postgres for Kubernetes 5.5. In this version 5.5 update, we would like to highlight a key feature: the introduction of a new pgAdmin API.

The notable changes in this feature include:

• The ability to manage all Postgres clusters through a single interface
• Automatic cluster detection
• A new custom resource file for pgAdmin

We're excited to announce the release of Crunchy Postgres for Kubernetes 5.5. Included in this release are great updates to database administration, monitoring, connection pooling and more. Specific highlights include:

• An updated pgAdmin experience, including the ability to deploy one pgAdmin for use with multiple Postgres clusters
• Easier installation of the metrics and monitoring tools, along with the added ability to monitor standby clusters
• Updates to PgBouncer including support for prepared statements and streamlined connectivity to read replicas

Modern resilient data infrastructure ensures that there's not a single point of failure. In the cloud, this means eliminating single points of failure at the data center and availability zone. So when deploying highly available