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By Shlomi Noach |

Design considerations for implementing a database throttler


By Shlomi Noach |

Design consideration for implementing a database throttler with a comparison of singular vs distributed throttler deployments.


By Benjamin Dicken |

B-trees are used by many modern DBMSs. Learn how they work, how databases use them, and how your choice of primary key can affect index performance.


By Shlomi Noach |

Learn about some design considerations for implementing a database throttler.


By Benjamin Dicken |

For big databases, IOPS and throughput can become a bottleneck in database performance. Learn how sharding helps scale out IOPS and throughput beyond the limitations of a single server.


By Benjamin Dicken |

Sharding a database comes with many benefits: Scalability, failure isolation, write throughput, and more. However, one of the lesser-known benefits comes from improved backups and restore performance.


By Shlomi Noach |

Learn about the options for running non-blocking schema changes natively to MySQL, using Vitess, or other tools


By Benjamin Dicken |

Large databases often have a small number of very large tables that makes scaling difficult. How can you scale with these while keeping your database performant? This article covers three techniques.


By Holly Guevara |

Learn about the different types of sharding: directory-based, range-based, and hash-based plus some of the pros and cons of each.


By Benjamin Dicken |

The adaptive hash index help to improve performance of the already-fast B-tree lookups


By Benjamin Dicken |

Learn how to visualize the memory usage of a MySQL connection


By Mike Coutermarsh |

Learn how PlanetScale uses GitHub Actions and PlanetScale to automate schema changes on our own application.


By Benjamin Dicken |

MySQL has built-in functionality for collecting statistics on and profiling your MySQL queries. Learn how to leverage these features to identify problems.


By Brian Morrison II |

Understand the different versions of UUIDs and why using them as a primary key in MySQL can hurt database performance.


By Brian Morrison II |

Amazon Aurora is pitched as a straightforward and scalable database service on AWS, but there are associated costs that you might not be aware of.


By Brian Morrison II |

Learn about a few common mistakes when designing your MySQL database schema.


By Brian Morrison II |

Learn the key differences between Amazon Aurora blue/green deployments and PlanetScale branching.


By Brian Morrison II |

Learn different considerations and best practices for quickly and efficiently recovering your database when downtime hits.


By Savannah Longoria |

In this blog post, we explore how complex data and geographic features can be represented in MySQL.


By Brian Morrison II |

Learn about how Amazon Aurora replication works, and how it compares to the traditional MySQL replication strategy used by PlanetScale.


By Brian Morrison II |

Learn about the various isolation levels used by MySQL to allow concurrency in your database.


By Shlomi Noach, Manan Gupta |

Today, PlanetScale launched support for foreign key constraints. This article covers some of the behind-the-scenes technical challenges we had to overcome to support them.


By Savannah Longoria |

Learn what HTAP is, how HTAP compares to OLAP and OLTP, and some pros and cons of HTAP.


By Mike Coutermarsh |

Learn what went into building PlanetScale webhooks from a security perspective. This article covers SSRF, webhook validation, DDoS, and more.


By Brian Morrison II |

There is more to sharding than simply increasing data throughput. In this article, we explore three different benefits of sharding your database.

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