Operations | Monitoring | ITSM | DevOps | Cloud


Grafana Cloud updates: revamped Synthetic Monitoring, improvements to Kubernetes Monitoring, and more

We consistently release helpful updates and fun features in Grafana Cloud, our fully managed observability platform powered by the open source Grafana LGTM Stack (Loki for logs, Grafana for visualization, Tempo for traces, and Mimir for metrics). In case you missed it, here’s a roundup of the latest and greatest updates for Grafana Cloud this month. You can also read about all the features we add to Grafana Cloud in our What’s New in Grafana Cloud documentation.

AI-powered insights for continuous profiling: introducing Flame graph AI in Grafana Cloud

Like many in the observability space, we see a lot of potential in harnessing AI to enhance the developer experience. As we continue to evolve and expand our observability platform, we strive to develop features that not only solve complex problems, but make it easier to access and derive value from tools like Grafana Pyroscope.

SQUPCAST Ep. 4: SaaSy security chat with the CTO

"I promise we can make this fun", said nobody ever when talking about security. But we're damn well going to try! Our CTO, Richard Jones, joins us on this episode to answer all those burning questions that your security teams need to ask whenever you're looking at a new SaaS tool for your stack.

How to explore metrics without PromQL queries in Grafana

At GrafanaCON 2024, Grafana founder Torkel Ödegaard introduced Grafana 11, which has a feature set that aligns with the same goals we’ve had since the OSS project launched in 2013. “The core mission of Grafana that we’ve had from the start is to make observability easy and powerful through good UX design, a focus on ease of use, and user flexibility and freedom,” Torkel said.

Grafana transformations: 10 new ways to get more out of your data

One of the superpowers of Grafana is the ability to bring all of your data into a single platform thanks to our rich catalog of data sources. Oftentimes you will want to visualize information from disparate data sources together in a single dashboard or panel. Or you might want to refine data returned from queries without altering the original data source. Or you may need to modify data due to limitations of a query language that stops you from getting the required formatting.