During the opening keynote of ObservabilityCON 2023 in London, we announced a range of new updates to make it easier and faster for the open source observability community to get started and scale their observability stacks.

As more organizations adopt observability at massive scale, they have also been grappling with rising costs. Over the past 12 months, we have been working on different solutions to help our users better understand and manage their observability stack, not to mention the bills that come with scaling it.

The Grafana LGTM Stack (Loki for logs, Grafana for visualization, Tempo for traces, and Mimir for metrics) offers the freedom and flexibility for monitoring application performance. But we’ve also heard from many of our users and customers that you need a solution that makes it easier and faster to get started with application monitoring.

At Grafana Labs we meet our users where they are. We run our services in every major cloud provider, so they can have what they need, where they need it. But of course, different providers offer different services — and different challenges. When we first landed on AWS in 2022 and began using Amazon Elastic Kubernetes Service (Amazon EKS), we went with Cluster Autoscaler (CA) as our autoscaling tool of choice.