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Grafana 11.1 release: new visualization features, Grafana Alerting updates, and more

The Grafana 11.1 minor release comes on the heels of unveiling Grafana 11 at GrafanaCON, but it packs in some ease of use visualization improvements, updates to Grafana Alerting (I spy a new settings page), and some impactful changes to the overall accessibility of Grafana.

Grafana Cloud updates: new visualization options, performance test analysis, Grafana Alerting improvements, and more

We consistently roll out 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.

Shorten your feedback loop: Java observability with OpenTelemetry, Grafana Cloud, and Digma.ai

Ron Dover is CTO and co-founder of Digma.ai, an IDE plugin for code runtime AI analysis to help accelerate development in complex code bases. Ron is a big believer in evidence-based development and a proponent of continuous feedback in all aspects of software engineering. Traditionally, software developers have relied on simple logs to understand code execution and troubleshoot issues.

How the DoD is embracing OSS and DevSecOps modernization with Grafana

When it comes to observability, we believe open source will win in the end. It’s a sentiment shared by a wide spectrum of users, whether they work in auto manufacturing, banking, or shipping. The U.S. federal government is yet another industry to prove this, showing that even those operating under the strictest security and compliance requirements see OSS as their preferred approach.

Translate Datadog metrics into OTLP with the OpenTelemetry Collector and Grafana Alloy

Today, we are excited to announce that we are releasing new code for the OpenTelemetry Datadog receiver as open source. This code allows users to translate Datadog metric formats into native OTLP format. These metrics can then be sent to any OpenTelemetry-compatible metrics system, whether it’s Prometheus, Grafana Mimir, or another backend database.