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Scaling hundreds of thousands of database clusters on Kubernetes

Planetscale

Explore what to consider when deploying databases to Kubernetes, and how PlanetScale utilizes Kubernetes and Vitess to run hundreds of thousands of databases.

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Blogs Planetscale

BlogsDatabase branching: three-way merge for schema changesPlanetscale BlogsThe art and science of database shardingPlanetscale BlogsOn benchmarkingPlanetscale BlogsHow product design works at PlanetScalePlanetscale BlogsGrouping and aggregations on VitessPlanetscale BlogsZero downtime migrations at petabyte scalePlanetscale NewsHow I Built an On-Premises AI Training Testbed with Kubernetes and KubeflowThenewstack NewsImplementing Advanced Scheduling Techniques with KubernetesThenewstack NewsVMware Extends Tanzu Support for Nvidia AI EnterpriseThenewstack NewsA Case for Databases on Kubernetes from a Former SkepticThenewstack NewsWe Pushed Helm to the Limit, then Built a Kubernetes OperatorThenewstack NewsBreak the Kubernetes Iron Triangle by Optimizing Your AppsThenewstack NewsStarboard: Putting all the Kubernetes Security Pieces into One PlaceThenewstack NewsBig Data: Google Replaces YARN with Kubernetes to Schedule Apache SparkThenewstack Products & ServicesJust-in-time Privileged Access1password Products & ServicesTailscale, a virtual programmable network for DevOpsTailscale LearnThe Database Inside Your Lakehouse: A DuckLake Architecture Deep DiveMotherduck BlogsThe Simple Joys of Scaling UpMotherduck BlogsDuckDB Wasm : What Happens When You Put a Database in Your Browser?Motherduck BlogsFirst Block with Notion Co-Founders Ivan Zhao and Simon LastNotion So