Here at Grafana Labs, one of the things we’re always working on is making Grafana more consistent. Given the increased adoption of Grafana around the world and the number of users and authentication providers we support, we wanted to create better defaults for login and email fields.
For Formula 1, speed is about more than just how fast you go around the track. It’s also about having data at your fingertips in real time to make critical improvements before, during, and after the race. “Formula 1 is one of the most fascinating data-driven sports,” said Anshul Sharma, Senior Product Manager at Microsoft. “It’s so competitive that even one tenth-second advantage can change the outcome of the race.”
As part of our efforts to improve the security of Grafana, we introduced a long-awaited feature in the latest Grafana 9.3 release that enhances Grafana’s OAuth 2.0 compatibility. The new Grafana OAuth token improvements, which are available in Grafana OSS, Grafana Cloud, and Grafana Enterprise, ensure that the user is not only logged into Grafana, but they’re also authorized by the OAuth identity provider.
As Grafana has grown from a visualization platform to an observability solution, we’ve added many tools along the way. These tools are dedicated to help you throughout the software development life cycle, whether you are trying to prevent incidents, you are monitoring your application or infrastructure, or if you are in the middle of an incident.
We all know about the great things Grafana dashboards can do, and configuring them as code makes it possible to get even more out of them. These days, Grafana resources can mostly be managed as code in a declarative manner, which enables code review, code reuse, and in general, better workflows. This guide presents a few as code tools you can use to declaratively manage Grafana resources, plus some tips and tricks on how to incorporate them efficiently into your own use cases.
We recently announced a new open source project called Grafana Phlare. This highly available continuous profiling data source is built into Grafana core, allowing you to seamlessly monitor your profiling data. With continuous profiling, you can see which parts of your applications are consuming the most resources. You can then use that data to make any necessary tweaks to reduce consumption, which translates to lower costs.
Ricardo Liberato is a consultant building solutions for corporate clients using the power of the Grafana ecosystem to tackle problems beyond the data center and into the business realm. Since 2006, I’ve been consulting for a Fortune 100 life sciences company building increasingly powerful observability solutions. We started with custom-built solutions, migrating to Grafana and Prometheus back in the Grafana 3 days.
Grafana Loki 2.7 has arrived! With it comes an experimental feature we are rather excited about: a redesigned index based off of the Prometheus TSDB index. While we are still in the early stages, this enhancement in Grafana Loki, which we previewed at ObservabilityCON 2022, creates a smaller storage footprint, better query performance, and much more that we will dive into below!
The much-anticipated release of Grafana Tempo 2.0, which we previewed at ObservabilityCON 2022, will represent a huge step forward for the distributed tracing backend. Among the biggest highlights will be TraceQL, a first-of-its-kind query language that makes it easier than ever to find the exact trace you’re looking for. 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.
