When you’d like to contribute to an open-source project it can be difficult to know where to start. Check out my latest post for the InfluxDB blog, explaining how we on the Core team have curated a set of issues, hopefully making it easy for potential contributors to start.
I’ve worked with Cassandra in the past — early designs of Loggly‘s 2nd generation Log analytics platform used Cassandra as its authoritative store for log data, but we ended up pulling it and using elasticsearch as both the store and search engine.
SQLite is a “self-contained, serverless, zero-configuration, transactional SQL database engine”. However, it doesn’t come with replication built in, so if you want to store mission-critical data in it, you better back it up. The usual approach is to continually copy the SQLite file on every change.
I wanted SQLite, I wanted it distributed, and I really wanted a more elegant solution for replication. So rqlite was born.
This blog describes working with InfluxDB 0.8. InfluxDB 0.8 is no longer supported, and has been superseded by the 1.0 release.
I recently came across InfluxDB — it’s a time-series database built on LevelDB. It’s designed to support horizontal as well as vertical scaling and, best of all, it’s not written in Java — it’s written in Go. I was intrigued to say the least.
Cassandra is an open-source, distributed database, informally known as a NoSQL database. It is designed to store large amounts of data, offer high-write performance, and provide fault-tolerance. I recently needed some hands-on experience with Cassandra, and being relatively new to Java programming, needed a simple set-up with which I would experiment.