Operations | Monitoring | ITSM | DevOps | Cloud

Cloudflare Workers is a developer platform for deploying serverless functions, frontends, containers, and databases to a global network, spanning 330+ cities around the world. However, as your application scales, it becomes crucial to have the right observability tools to investigate issues, monitor performance, and get alerts when issues arise. Last month, Cloudflare Workers announced support for exporting OpenTelemetry logs and traces, letting you send this data directly to Grafana Cloud.

Whether it’s for an email or that upcoming presentation, many Grafana users like to share their favorite dashboards or panels outside of Grafana itself. The Grafana Image Renderer is a backend service for Grafana that helps you do just that by rendering panels and dashboards as images, such as PNGs and PDFs, via a headless browser. It’s commonly used to support Grafana features like exporting dashboards, generating images for alert notifications, and creating PDF reports.

As developer advocates at Grafana Labs, we’re always looking for new ways to help our users better understand and learn observability. You might remember our previous project that brought learning to life through an adventure-style game, and now we’re really excited to share something else we’ve been working on: Interactive Learning, a new way to get the technical help you need directly in Grafana.

Today’s engineering organizations are built around service ownership. Service owners are accountable for keeping their services reliable, performant, and ready to scale. But no service operates in isolation; every team depends on others, and those dependencies form a complex web that can be hard to see, let alone understand. To truly deliver reliable systems, you need visibility not only into how your own service performs, but also how it affects others.

Modern AI agents are now highly advanced, frequently becoming essential components of engineering workflows and deployment pipelines. However, operating these systems often feels like trying to navigate a ship through a dense fog. When an agent errors, slows down, or consumes excessive resources, engineers find themselves adrift, lacking the navigational charts needed to diagnose the problem. The absence of deep insight makes debugging, performance tuning, and cost management unnecessarily difficult.

Today’s AI agents have grown increasingly sophisticated, moving into production environments and becoming integral parts of engineering workflows. But these agents can also be black boxes for engineers, which makes observability more critical than ever. Without proper monitoring, you’re often left feeling like you’re flying blind as you try to debug agent failures, understand performance bottlenecks, and track costs.

Nishad Krishnan is a Software Engineer at Temporal Technologies, where he’s focused on observability and making the “unknown unknowns” slightly less unknown. At Temporal Technologies, our goal is to make it easier for developers to build and operate reliable, scalable applications without sacrificing productivity. Our platform, Temporal, helps ensure that code runs to completion once started, no matter how long it takes or what failures occur along the way.

Grafana is great at hopping between signals in its native backends (Grafana Loki, Grafana Mimir, Grafana Tempo). But your data doesn’t have to live there to get the same smooth workflow. Afterall, we don’t just pay lip service to our “big tent” philosophy—we want to meet all our users’ diverse needs, regardless of what kind of data you have or where you store it.

Grafana 12.3 is here, delivering new features for interactive learning, deeper insights into logging data, and so much more. Overall, a big theme in the latest minor release is to make data exploration easier, faster, and more customizable. Grafana 12.3: Download now! Below are just some of the highlights from Grafana 12.3. If you want to explore all the latest updates, please refer to the changelog or our What’s New documentation, and be sure to check out the TL;DR video below.

Our logs can tell us so much about the state of our systems, but they can also be a bit overwhelming. Yes, Grafana Loki—and, by extension, Grafana Cloud Logs, which is powered by Loki—reimagined the way log aggregation systems could meet modern engineering demands, but logs, by their very nature, are still voluminous.