Tag Archives: distributed systems

rqlite v3.12.1 now with Discovery Service for easier clustering

rqlite is a lightweight, open-source distributed relational database, with SQLite as its storage engine. v3.12.1 has been released. This release includes integration with a new Discovery Service, allowing nodes to automatically connect and form a cluster. This can be very convenient, allowing clusters to be dynamically created.

You can download the release from GitHub.

Building a cluster discovery service with AWS Lambda and DynamoDB

AWS LambdaIn this post I describe how I built a serverless cluster discovery service for rqlite, the distributed relational database built on SQLite.

Built using the AWS API Gateway service, AWS Lambda, and DynamoDB, it means rqlite nodes no longer need to be passed the network address of an existing node in a cluster, and can instead connect automatically.

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rqlite now supported on Microsoft Windows

Microsoft Windowsrqlite is a lightweight, open-source distributed relational database, with SQLite as its storage engine. Thanks to the power of the Go tool chain, it is compatible with Microsoft Windows without any extra effort.

To ensure that it remains compatible with Windows, I have enabled CI for Windows using AppVeyor. After some help from the open-source community, it’s up and running now.

rqlite v3: Globally replicating SQLite

rqlite on GitHubrqlite is an open-source distributed relational database, which uses SQLite as its storage engine. rqlite is written in Go and uses Raft to achieve consensus across a set of SQLite databases. It gracefully handles leader election, and can tolerate machine failure.

With the v3 release series, rqlite can now replicate SQLite databases on a global scale, with very little effort. Let’s see it in action using the AWS EC2 cloud.

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rqlite v3.0.1 released with leader redirection

rqliterqlite is an open-source distributed relational database, with SQLite as its storage engine. v3.0.1 has been released and it is a significant upgrade relative to the 2.0 series. The 3.0 series allows more sophisticated clusters to be built and simplifies rqlite client coding requirements.

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