Operations | Monitoring | ITSM | DevOps | Cloud

Generative AI enables teams to write and ship code faster than ever. But current methods for testing and quality assurance have not evolved to match the new pace and scale of deployments. Manual and deterministic testing paths quickly become obsolete when new features are released, and they fundamentally can’t test AI outputs, leaving a massive untested surface area. To keep up, teams need new testing methods that can define what goals users have, and ensure that their outcomes match.

We're excited to announce a new way to interact with IsDown: the MCP Server. Now you can query your monitoring data directly from AI assistants like Claude.

Running Graylog on Kubernetes has been possible for a while, but let’s be honest: it usually involved a fair amount of DIY. Custom manifests, duct-taped values files, and more than one late-night kubectl describe pod. That changes today. We’re releasing the first-ever Graylog Helm chart for Kubernetes — now available in beta.

Infrastructure code rarely stays clean on its own. Teams move fast, and reviews aren’t always deep or consistent. Over time, misconfigurations build up and increase the risk of outages, security gaps, or unpredictable behavior. Static scanning tools can help, but they often require setup, expertise, and don’t always reflect how infrastructure code is actually used across environments. Code Optimizer, now in beta, helps teams catch those issues earlier.

Harness has been recognized by TechStrong Group for its comprehensive, AI-native platform vision, winning Best End-to-End DevOps Platform, Best Platform Engineering Solution, and DevOps Industry Leader of the Year. At Harness, our mission has always been simple but ambitious: to enable every software engineering team in the world to deliver code reliably, efficiently, and quickly to their users, just like the world’s leading tech companies.

We’re excited to announce the simultaneous releases of HAProxy Kubernetes Ingress Controller 3.2 and HAProxy Enterprise Kubernetes Ingress Controller 3.2! All new features described here apply to both products. These releases introduce user-defined annotations, a new frontend CRD, and other minor improvements, and we’ll cover these in detail below. Visit our documentation to view the full release notes.