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By Vitess Engineering Team |

Vitess 21 is now generally available.


By Matt Lord |

Data migrations are a critical part of the database lifecycle, and are sometimes necessary for version upgrades, sharding, or moving to a new platform. In many cases, migrations are painful and error-prone. In this article, we walk through how migrations are performed at PlanetScale, and offer advice on how to improve the migration experience.


By Matt Lord |

Learn the basics of Change Data Capture (CDC) and how to leverage Vitess VStream API to build data pipelines.


By Andres Taylor |

The Vitess query planner takes multiple passes over a query plan to optimize it as much as possible before execution. A recent tricky bug report led to an improvement in how the optimizer functions.


By Vitess Engineering Team |

Vitess 20 is now generally available.


By Harshit Gangal, Deepthi Sigireddi |

How we implemented a consistent lookup Vindex in Vitess to ensure data consistency without using 2PC


By Arvind Murty |

My experience working as an intern in the Vitess query serving team for PlanetScale.


By Vitess Engineering Team |

Vitess 19 is now generally available.


By Shlomi Noach |

We are releasing schemadiff, an open source command line tool to generate diffs between two MySQL databases.


By Vitess Engineering Team |

Vitess 18 is now generally available, with a number of new enhancements designed to improve usability, performance, and MySQL compatibility.


By Brian Morrison II |

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


By Deepthi Sigireddi |

Learn how middleware technology works, the pitfalls of application-level sharding, and how Vitess enables horizontal sharding of MySQL for near infinite scale.


By Matt Lord |

In this release of Vitess, several significant enhancements have been introduced to improve the compatibility, performance, and usability of the system.


By Andres Taylor |

See how Vitess acts as a database proxy that creates an illusion of a single database when technically, the query is sent to multiple MySQL instances.


By Harshit Gangal |

Connection pooling reduces the overhead of establishing new database connections. Learn how connection pooling works and how it is handled in Vitess.


By Vitess Engineering Team |

Vitess 16 is now generally available with updates to VDiff v2 VTOrc MySQL compatibility and more.


By Vitess Engineering Team |

Vitess 15 is now generally available with updates to VTOrc VTAdmin MySQL compatibility and more.


By Brian Morrison II |

Learn what Vitess is, how it works, and how it can improve your database‘s resilience, scalability, and performance.


By Florent Poinsard, Harshit Gangal |

Learn how we detected and optimized two slow queries in arewefastyet using PlanetScale Insights.


By Sugu Sougoumarane |

In the final installment of the consensus algorithm series we pull everything together with some final thoughts.


By Sugu Sougoumarane |

In part 7 of the Consensus algorithm series we combine everything we’ve worked at to cover propagating requests


By Vitess Engineering Team |

Learn about what was just released in Vitess 14


By Andres Taylor |

Vitess is a database proxy that creates an illusion of a single database when in reality the query is sent to multiple MySQL instances.


By Sugu Sougoumarane |

In part 6 of the Consensus algorithms series we look at how to handle request completions


By Sugu Sougoumarane |

In part 5 of our consensus algorithms series we discuss how we handle race conditions and forward progress requirements.

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