Operations | Monitoring | ITSM | DevOps | Cloud

In a recent blog post, I introduced the tech stack our Mattermost Technical Writing team uses every day to build, contribute to, improve, and maintain the Mattermost product documentation at docs.mattermost.com. Building on this knowledge, I’d like to share more about how we work as a writing team, the branching strategies we’ve learned to adopt, and the review workflows every documentation contribution goes through before being merged into the codebase.

We’re excited to share what’s new and improved in the v8.2 release of GitKraken Client. Even solo superheroes will benefit from Workspaces but we’ve made a lot of updates designed for Teams to get the most out of Git. So assemble your team and get ready to tackle even the largest projects in Git. Keep reading this article or watch the video below to see what’s new! We just can’t stop improving productivity with Git.

In collaboration with the AWS team, we have recently released the new Athena data source plugin for Grafana. Athena is an interactive serverless service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena supports a wide variety of data formats including CSV, JSON, ORC, Arvo, and Parquet. Athena also integrates with AWS Glue Data Catalog, which allows you to create tables and query data based on a central metadata store of many AWS services, such as CloudFront, ELB, and more.

When it comes to monitoring your Elixir application, it's challenging to make sense of the many metrics and statistics that you can read from the internals of the Erlang virtual machine. In this post, we'll be looking at the scheduler utilization metric in order to understand what it is, why we should monitor it, and how to monitor it.