January Product Updates
Readyset Cloud Available for AWS Postgres
Readyset Cloud is a query caching platform that helps development teams improve the performance and scalability of their applications without code rewrites, query optimization, or infrastructure overhauls.
Now, it's available for all AWS Postgres users. You can expect a drop-in integration, support for automatically caching complex queries and keeping the result sets up-to-date.
To get started, create an account here.
Product Updates
Quickstart
You can now run Readyset locally and connect to your MySQL or Postgres database with just a single command:
bash <(curl -sSL https://launch.readyset.io/readyset_demo.sh)
Head to our blog for all the details.
Rails Gem
Now, there's a gem for caching with Readyset within Rails applications. See how to use it here.
Binaries/System Packages
ReadySet can now be installed as a stand-alone systemd service using a Linux distribution package. Head to the docs for the step-by-step instructions.
New Blog Roundup
- How Database Replication Works Under the Hood: If you're building a data-driven product, then at some point, you're going to need to leverage database replication. This guide walks you through the ins and outs of data replication.
- Finding Slow Queries in Postgres Using Datadog: If your application's performance is lagging, we've got you covered. See how to use Datadog to find sluggish queries in Postgres and cache them with Readyset.
- The Role of CAP Theorem in Modern Day Distributed Systems. We hear a lot about CAP theorem nowadays, but what is it, and what is its place in the modern day distributed systems landscape?
- Medical Joyworks improved their page load times by 500% with ReadySet. See how Medical Joyworks was able to better understand their 700,000 subscribers by leveraging ReadySet.
We're Hiring!
Readyset is growing, and we're looking for a Head of Marketing to join our team in NYC. Check out the role here and apply if it's a match. 🤝
Get Involved
We love hearing from you! If you want to get involved with Readyset, you can:
- Submit a feature request or bug report on Github
- Join the conversation in our Slack community
- Contribute to the codebase through our newcomer issue