cnpg

Welcome CNPG Playground, a local learning environment for exploring CloudNativePG and PostgreSQL in Kubernetes. Using Docker and Kind, it simulates real-world scenarios, enabling developers and DBAs to experiment with PostgreSQL replication across two clusters. Designed for hands-on learning, CNPG Playground provides an accessible entry point for testing configurations and features, with plans for future enhancements and community collaboration.

CloudNativePG 1.24 introduces a highly customisable approach to managing PostgreSQL synchronous replication through the new .spec.postgresql.synchronous stanza. In this article, I’ll guide you through configuring synchronous replication within a single Kubernetes cluster and across multiple clusters. I’ll explore quorum-based and priority-based replication methods, highlighting their benefits and trade-offs. Additionally, I’ll explain how to adjust the synchronous_commit setting to strike the right balance between data durability and performance.

In this article, I’ll explore how Kubernetes and CloudNativePG can be leveraged to streamline the testing of PostgreSQL patches, especially during a Commitfest. By automating the creation of PostgreSQL container images from any public Git repository, developers and reviewers can quickly and efficiently test patches within a Kubernetes environment. This approach not only saves time but also enhances the reliability of patches before integration into the main codebase.

In this article, I’ll introduce you to the new service template feature in CloudNativePG 1.24, which greatly simplifies the creation of services such as LoadBalancer to expose PostgreSQL outside of your Kubernetes cluster - particularly useful for streamlining Database-as-a-Service (DBaaS) deployments. I’ll walk you through setting up this feature on your laptop using kind and cloud-provider-kind, ensuring you can easily test and implement these capabilities in your own environment.

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.

As Kubernetes celebrates its tenth anniversary, the integration of PostgreSQL within this ecosystem is gaining momentum, offering challenges and opportunities, rather than threats, for database administrators (DBAs). This article explores the evolution of running PostgreSQL in Kubernetes, emphasising the importance of transitioning from traditional deployment methods to a cloud-native approach. It discusses the need for DBAs to expand their skills beyond the traditional scope, advocating for a “T-shaped” or even “comb-shaped” professional profile. By understanding key Kubernetes concepts and embracing the principles of “slowification”, simplification, and amplification, DBAs can effectively collaborate with developers and infrastructure teams. This approach enhances individual expertise and contributes to the broader adoption and optimisation of PostgreSQL in Kubernetes environments. The article highlights the critical role of community and shared knowledge in breaking down silos and fostering a collaborative culture, which is essential for the successful deployment and management of PostgreSQL in modern cloud-native infrastructures.

Join me and PostgreSQL/Kubernetes expert Leonardo Cecchi in Athens on October 22 for the first-ever public training session on CloudNativePG at the 2024 PostgreSQL European Conference, where you’ll master essential day-2 operations for PostgreSQL in Kubernetes. Learn from the founders and maintainers of CloudNativePG through hands-on sessions covering monitoring, scaling, automated failover, and more.

In this blog post, I delve into the crucial aspects of networking and storage within a CloudNativePG cluster deployed on Kubernetes. I explore how Kubernetes services manage external and internal communications for PostgreSQL clusters, ensuring high availability and seamless failover. Additionally, I examine the role of PersistentVolumeClaims in handling PostgreSQL data storage, offering insights into effective resource management. This article provides an example of the kind of knowledge DBAs need to acquire when managing PostgreSQL in cloud-native environments, highlighting the importance of collaboration with infrastructure teams and developers to ensure robust and resilient cluster operations.

The upcoming CloudNativePG 1.24 introduces a game-changing feature: the ability to declaratively manage PostgreSQL cluster switchover across cloud regions or different Kubernetes clusters. This advancement enables the seamless demotion of a primary cluster and the promotion of a replica cluster in another region without the need to re-clone the former primary. This innovation significantly revolutionises database management practices, enhancing efficiency and reliability in multi-region and multi-cluster environments.

CloudNativePG, traditionally confined to single Kubernetes clusters, is now expanded its functionality to support distributed PostgreSQL topologies across multiple regions. This enhancement leverages declarative configurations to manage coordinated promotions, ensuring a single primary instance at any time. Based on PostgreSQL’s primary/standby architecture, this setup is designed to maintain operational continuity and cater to various deployment scenarios, including hybrid and multi-cloud environments. The new capabilities significantly improve high availability and disaster recovery by mitigating the risks associated with single points of failure in PostgreSQL deployments within Kubernetes.