Blog

Version 3.7.0 of the Gravwell open source repository introduces an exciting new feature: a Go library for interacting directly with Gravwell! Our Data Fusion platform has always been about meeting custom analytics needs and not forcing clients onto limited rails for dashboarding, searching, etc. Out-of-the-box only gets you so far, and beyond is where our customers get into doing some really, really cool stuff.

Open sourcing the Gravwell client library makes it much faster for users to get any custom code up and running - which means less time to ingestion, automation, alerting, and other juicy data goodness. This post will show how to instantiate & authenticate a client, then give a few examples of what you can do.

When we started Gravwell years ago, we knew it was going to be a significant undertaking requiring some serious tooling under the hood. Building a custom data lake and analytics platform from scratch that can scale to hundreds of TB/day ain't easy. We chose Go for a lot of reasons and that choice has paid dividends in terms of what we've been able to accomplish in so short a time.

This post is about our tooling, and some of the lessons we have learned along the way in managing a large Go codebase. A few weeks ago Gravwell made the switch to Go modules on both our open source github repositories and our internal repo. Let's talk about about our planned workflow going forward and a few caveats we've run into.