Operations | Monitoring | ITSM | DevOps | Cloud

When Microsoft engineers went looking for a modern visualization platform to help track critical signals and make quicker decisions, Grafana emerged as the clear favorite. But there was just one hitch: the available authentication methods didn’t quite meet their needs.

We’re thrilled to share that Grafana Labs has been recognized as a Leader in the 2025 Gartner Magic Quadrant for Observability Platforms—for the second year in a row. This year’s report placed Grafana Labs furthest in “Completeness of Vision,” which we believe reflects our deep commitment to building a truly open, composable observability stack that gives users flexibility, control, and the tools to own their observability strategy.

Note: Grafana Beyla has been donated to OpenTelemetry under the new project name OpenTelemetry eBPF Instrumentation. Beyla will continue to exist as Grafana Labs’ distribution of the upstream project. Grafana Beyla is an open source eBPF-based auto-instrumentation tool that helps you easily get started with application observability, allowing you to monitor and visualize traces without modifying the application code.

With grafana/otel-lgtm, observability is just one Docker command away. Over the past year, grafana/otel-lgtm has simplified observability setups, helping developers get a complete OpenTelemetry stack running in under five seconds. With integrations for metrics, logs, traces, and now profiles via Grafana Pyroscope, it has become a go-to solution for demos, development, and testing, as evidenced by its growing community (1k stars on GitHub and growing!) and notable adopters.

To be a successful gamer, you have to think strategically and creatively. Working as a software engineer at Electronic Arts (EA), a top video game company, requires the same skills. That’s especially true when it comes to monitoring the EA app, which is the launcher for EA games and used by hundreds of millions of people around the world.

InfluxDB has been a popular time series database for the better part of a decade, and the latest release represents years of work behind the scenes to address several major feature requests users have been asking for since the earliest days of the time series database.

It’s almost 1 p.m. on a Monday afternoon and you’re hungry. You pull up your meal delivery app and select your favorite restaurant and dish. Then you go to check out and nothing happens. Your frustration mounts as you get hungrier by the minute. But there’s frustration on the other side of that transaction as well—engineers are scrambling to figure out what’s wrong as orders drop and revenue losses rise.

As we look at the role AI can play in Grafana going forward, we want to move beyond the simple chat responses that dominate the world of LLMs today and into agentic systems—AI that can understand, reason, and act on your behalf. The ultimate goal is to make it easy to get things done in Grafana using natural language—whether you’re a seasoned SRE or a new developer. And in the AI world, we call this moving from chat completion to task completion.

Two years ago, a power outage knocked a Dropbox data center offline. It wasn’t just any data center. It was the only one where Dropbox hosted Grafana Loki, meaning engineers couldn’t access their log data. “We had considered a data center outage when we were rolling out Loki, but it had just never risen up in priority enough to get put into multiple data centers,” said Chris Hodges, an infrastructure software engineer at the cloud storage company.

As we previously reported on April 26, 2025, we had a security incident via an insecure GitHub Action and we have since published a post-incident review. We have confirmed that there has been no code modification, unauthorized access to production systems, exposure of customer data, or access to personal information.