Outlier Detection is now available as part of the Grafana Machine Learning toolkit in Grafana Cloud for Pro and Advanced users. With this feature, you can monitor a group of similar things, such as load-balanced pods in Kubernetes, and get alerted when some of them start behaving differently than their peers. There’s supposed to be a video here, but for some reason there isn’t. Either we entered the id wrong (oops!), or Vimeo is down.

Grafana Agent v0.30 is here! The past couple of Grafana Agent releases have been pretty exciting for us. We introduced Agent Flow as a new way to configure, run, and debug telemetry pipelines. We also announced OpenTelemetry Collector components to expand on our Big Tent philosophy and allow users to switch seamlessly between the Prometheus and OTel ecosystems. This latest release continues that momentum by introducing Loki components for building logging pipelines and marking Flow mode as beta!

The community has spoken, six Helm charts is not enough! We agree! In all seriousness though, six charts is simply too many to maintain. And while it might sound counterintuitive, that’s why we are announcing a new Helm chart. By focusing on the “Grafana Labs way" to run Grafana Loki using Helm, we believe this will help us and the community concentrate our Helm efforts into a single chart. This new chart is released under grafana/loki at Helm version 3 or higher.

Repetitive tasks can be time consuming. In an ideal world, automation would remove all of the grunt work when it comes to solving business problems, freeing us up to execute on more strategic decisions. Luckily, Jira has the capabilities to take a load of tasks off your hands – including tracking your issues, posts, features, and more. This blog will walk you through the options available and offer top tips on how to set this up.