At Grafana Labs, our mission has always been to help our users and customers understand the behavior of their applications and services. Over the past two years, the biggest needs we’ve heard from our customers have been to make it easier to understand their observability data, to extend observability into the application layer, and to get deeper, contextualized analytics.
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.
As Grafana evolved over the years, so did our panel headers. In our quest for improvement, we continually added design options that created more comprehensive panels, but also an increasingly complex interface. It was a process of continual adaptation without a roadmap — which, though well-intentioned, began to result in unforeseen challenges.
At Grafana Labs, we want to empower our fellow Grafanistas and the community to get the most out of the Grafana LGTM Stack (Loki for logs, Grafana for visualization, Tempo for traces, and Mimir for metrics). As part of this effort, we recently launched a new Grafana developer portal. And now, we’re pleased to announce the launch of the Saga Design System, which establishes a shared visual language for all of Grafana Labs’ offerings.
Starting around June this year, we upgraded our Grafana databases in Grafana Cloud from MySQL 5.7 to MySQL 8, due to MySQL 5.7 reaching end-of-life in October. This project involved tens of thousands of customer databases across dozens of MySQL database servers, multiple cloud providers, and many Kubernetes clusters.
KubeCon + CloudNativeCon North America 2023 is just around the corner, and the OSS and cloud native community is eagerly anticipating the event, which will take place November 6 - 9 in Chicago.
In the ever-changing field of artificial intelligence, OpenAI is consistently seen as a leader in innovation. Its AI models, starting with GPT-3 and now with GPT-4, are already used extensively in software development and content creation, and they’re expected to usher in entire sets of new systems in the future.
Grafana Tempo 2.3 has been unleashed upon the world, bringing with it the latest iteration of the vParquet backend! Tempo 2.3 has a little bit of everything, but the headline item here is vParquet3 and new features that improve search speeds. Watch the video above for all the details, or continue reading to get a quick overview of the latest updates in Tempo. If you’re looking for something more in-depth, don’t hesitate to jump into the changelog or our Grafana Tempo 2.3 release notes.
For those who have limited experience with OpenTelemetry, it can be intimidating to instrument.NET applications. But the OpenTelemetry community created a welcome shortcut with the first stable release of.NET Automatic Instrumentation. It simplifies the process of collecting metrics, logs, and traces from your.NET applications, without applying any changes to the source code or adding any dependencies to the OSS project.
