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Run Data Workloads on Kubernetes

The Data on Kubernetes Community is where users go to run data on Kubernetes (DoK). We facilitate the creation and sharing of best practices to help users advance in their DoK journey through our forum, events, and working groups.

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What is Data on Kubernetes?

While Kubernetes was originally designed for stateless workloads, it is increasingly being used to manage stateful and data applications including databases, big data, data analytics, and machine learning. 

Data on Kubernetes is well-positioned to become the operational default in a world where data and AI/ML applications are expected to grow. Scalability, flexibility, resilience, openness, and costs are among the reasons; and it has a transformative impact on organizations who benefit from increased productivity, revenue growth, market share and margin, according to the 2022 Data on Kubernetes Report

DoK Day @ KubeCon Paris 2024 Recap

DoK Day recap video created by DoK Ambassador Edith Puclla

Learn Data on Kubernetes

A curated library of resources to help jumpstart or advance your DoK journey.

Managing Data on Kubernetes

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Kubernetes provides great solutions for managing stateful workloads, including databases and big data applications. Its features, such as scalability, fault tolerance, and efficient resource management, make it an ideal platform for handling data-intensive

CloudNativePG Recipe 8: Participating in PostgreSQL 17 Testing Program in Kubernetes

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The PostgreSQL Global Development Group (PGDG) recently released PostgreSQL 17 Beta 1, offering a preview of all the features that will be available when PostgreSQL 17 is officially launched later this year

How the CSI (Container Storage Interface) Works

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The Container Storage Interface (CSI) simplifies persistent storage management in Kubernetes by providing an API for custom drivers to handle volume provisioning. CSI replaces in-tree volumes, allowing instant addition of new storage types via independent drivers. This article elucidates CSI's role and implementation in Kubernetes, aiding debugging and migration tasks.

CloudNativePG Recipe 6: Postgres Vertical Scaling with Storage – part 1

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Explore the potential of optimizing CPU, RAM, and storage resources through meticulous measurement and benchmarking, challenging conventional scaling wisdom. Delve into the solid strategies within the CloudNativePG stack, such as separate volumes for data and transaction logs, temporary tablespaces, and I/O segregation for tables and indexes. Stay tuned for insights into aligning storage solutions with PostgreSQL’s resilience needs in the upcoming sequel.

CloudNativePG Recipe 5 – How to migrate your PostgreSQL database in Kubernetes with ~0 downtime from anywhere

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Are you considering migrating your PostgreSQL database from a service provider into Kubernetes, but you cannot afford downtime? Recipe #5 details step-by-step instructions, leveraging CloudNativePG and logical replication, to seamlessly transition from PostgreSQL 10+ to 16 using an imperative method.

CloudNativePG Recipe 4 – Connecting to Your PostgreSQL Cluster with pgAdmin4

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The article explores the deployment of pgAdmin4, a popular graphical user interface for PostgreSQL, within a CloudNativePG environment, primarily for evaluation and educational purposes.

Connect With Your Peers

Join the conversation to stay on top of trends and opportunities in the Data on Kubernetes community.

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