ci/cd pipelines

In modern Kubernetes environments, isolating PostgreSQL workloads is crucial for ensuring stability, security, and performance. This article, building on the previous CNPG Recipe #10, explores advanced techniques for isolating PostgreSQL instances using Kubernetes with Kind. By applying taints, labels, and anti-affinity rules, you can ensure that PostgreSQL nodes are dedicated exclusively to database workloads, preventing overlap with other services and enhancing fault tolerance. Whether you’re simulating a production environment or managing a live deployment, these strategies will help you maintain a robust and isolated PostgreSQL cluster in Kubernetes.

This article provides a step-by-step guide to deploying PostgreSQL in Kubernetes using the kind tool (Kubernetes IN Docker) on a local machine, simulating a production-like environment. It explains how to create multi-node clusters and use node labels, specifically proposing the node-role.kubernetes.io/postgres label to designate PostgreSQL nodes. The article also demonstrates how to schedule PostgreSQL instances on these designated nodes, emphasizing the importance of workload isolation in Kubernetes environments. Thanks to Kubernetes’ portability, these recommendations apply to any cloud deployment—whether private, public, self-managed, or fully managed.

Dive into the world of running PostgreSQL in Kubernetes with CloudNativePG in this inaugural guide. Follow along as we walk you through the process of setting up a disposable local cluster using kind. Gain insights into creating PostgreSQL clusters, installing CloudNativePG, and leveraging the cnpg plugin for kubectl. Wrap up your journey by tidying up your local cluster. Whether you’re a developer or a DBA, this foundational guide provides a launchpad for your future CloudNativePG explorations with a fully open source stack.