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Database caching in 10 minutes with Readyset and Helm
TL;DR: You can now deploy Readyset to Kubernetes, via Helm, and start caching your database in minutes. Introducing Fast Deployment with Helm and Readyset Database caching can work wonders. By keeping a small, frequently accessed working set of a database in memory, a cache can offload queries from the backing database, slash access time latencies, and make applications fly. Prior to Readyset, setting up a database cache came at a high cost. To get zippy data access, developers needed to rew
Readyset
2022-10-24 · 2 min read
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Readyset HA with ProxySQL and MySQL
A MySQL source, a replica and a ProxySQL in front of both. Adding a highly available Readyset cache behind one slow report query took two docker run commands and two INSERT statements, with no change to the application, the schema or MySQL. Here is the measurement, the routing, and how to check the cache is really serving.
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"What if scaling reads didn’t require replicas, rewrites, or added infrastructure complexity? This post walks you through running Readyset—a caching layer purpose-built for real-time SQL acceleration—on Azure VM with MySQL. In just a few commands, you'll launch a MySQL database, deploy Readyset, and witness query speeds drop from milliseconds to microseconds." Prerequisites Before we dive in, ensure you're authenticated with Azure and have a role that includes permission to: * Create Azure
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Tutorials
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Getting Started with Readyset on PostgreSQL
PostgreSQL is one of the most potent relational databases, but performance can become a bottleneck as queries become complex. One of the most effective ways to reduce query latency without modifying application logic is caching, and Readyset provides a seamless solution. Readyset sits between your application and PostgreSQL, automatically caching queries and speeding up their response times considerably. In this guide, we’ll walk through: Installing Readyset on Ubuntu 24.04 using a .deb packa
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