Operations | Monitoring | ITSM | DevOps | Cloud

Just when you’d finally wrapped your head around AI, here comes its autonomous cousin, Agentic AI. Think of it as AI that doesn’t just assist, but acts. It makes decisions, handles tasks, and communicates with other systems on its own. While it’s revolutionizing supply chains and customer experiences, there’s a catch. These autonomous agents rely on a plethora of third-party services, and when one fails, everything stops.

Lately, there has been a growing buzz around the concept of “Vibe Working,” where teams are leveraging AI to dynamically share, develop, test, and transform “fuzzy” ideas into something useful in real-time. I view this approach as one of the next significant evolutions in our professional and technological landscape. Reflecting on my own journey in technology, I’ve observed how the pace of innovation and collaboration continually reshapes our daily workflows.

Java license monitoring has now become an essential requirement for many organizations as Oracle’s recent licensing changes have made compliance mandatory, with increased risks of audits and higher Java licensing compliance costs. Once a free programming platform, Java now requires navigating a complex licensing framework, including employee-based models that tie costs to the size of a workforce. These changes significantly increase the risk of unbudgeted expenses for licensing violations.

Custom metrics enable you to track what matters to your distinct business and services and correlate it with the rest of your telemetry data. As your organization grows by adding more teams, services, and environments, your volume of custom metrics can grow with it. To ensure critical visibility while maintaining cost efficiency, organizations need an end-to-end approach to custom metrics governance.

OpenTelemetry (OTel) is emerging as the industry standard for collecting and transmitting observability data. Datadog supports several ways to send and accept OTel-native data, while also continuing to support its own native telemetry format. To provide a consistent monitoring experience, Datadog now supports using OTel-native metrics alongside Datadog-native metrics across dashboards, queries, and core visualizations in the Datadog platform.

NiCE is proud to announce the availability of the NiCE DB2 Management Pack 5.40, a new milestone in advanced monitoring and management for IBM DB2 environments. Version 5.40 introduces powerful enhancements that improve efficiency, compatibility, and ease of use: Cluster Synchronization Improvements Ensures more accurate and efficient configuration sync across clustered deployments.

‘One small step for a man, but a huge leap for developers’ — me, when I realised how to observe my Backstage with OpenTelemetry. Backstage is often the “portal” through which we manage all our other systems, but who watches the watcher? Recently, we gave a KubeCon Talk, highlighting that monitoring Backstage itself is critical. When Backstage isn’t observable, it becomes a blind spot in your infrastructure.

Sigma rules have become the security team equivalent of LEGO bricks and systems. With LEGO, people can build whatever they can imagine by connecting different types of bricks. With Sigma Specification 2.0 rules, security teams can create vendor-agnostic detections without being limited by proprietary log formats. In response to the Sigma rules’ popularity, the team that built them updated them in August 2024, giving security teams new capabilities.

In May we’ve released powerful new features to help you stay ahead of outages and communicate status more effectively, focusing on expanding Early Warning Signals across our platform. Let’s dive into what’s new!

At Grafana Labs, we’ve always believed that observability should be open and accessible — that belief extends beyond metrics, logs, and traces to the costs associated with managing observability at scale. That’s why we’re excited to share that we’ve adopted the FinOps Open Cost and Usage Specification ( FOCUS), a community-driven, open standard for cloud billing data.