Operations | Monitoring | ITSM | DevOps | Cloud

Today we are releasing Raygun APM Agent 3.0.14 for Windows, Linux, and Azure App Service. This release is the result of a substantial modernization of the Agent, profiler, installers, and release pipeline. It makes Raygun APM easier to deploy, reduces overhead in several critical paths, adds native Linux ARM64 support, and lets developers investigate APM data through Raygun API v3 and the Raygun MCP server. If you are upgrading from version 2.3.0, there is much more here than a version-number change.

London has spent decades establishing itself as one of the world’s major technology hubs. Its strength comes from the concentration of AI and technology startups, financial services and fintech, highly regulated industries, universities and research institutions, international businesses and technology companies, alongside a large community of developers and engineers.

Obkio is making improvements to its network performance monitoring and observability solution, aimed at helping users of every expertise level interpret their data more efficiently. That work isn't just about telling users something is wrong. It's about diagnosing the issue for them. And a big part of that is telling them where the issue is happening, so they know exactly where to direct their troubleshooting effort instead of guessing. The Status Overview widget solves this.

We hosted a live launch preview, “Level Up Your Agentic Workflow,” to introduce two things at once: GitKraken Insights for Developers and Kepler. Jeremy Castile, our VP of Developer Research, opened with research on how teams are actually using AI agents today. If you want the full breakdown of that data, including the adoption numbers and the gap between feeling faster and proving it, we published it separately in State of AI in Engineering 2026: The Proof Gap.