Operations | Monitoring | ITSM | DevOps | Cloud

It’s Black Friday. Checkout latency is spiking. Your on-call engineer pulls up the dashboard and starts working through the list. Is it a regional issue? No, all regions look fine. A payment provider? Stripe, PayPal, Apple Pay all nominal. A bad deployment? Nothing shipped in the last six hours. All your infrastructure dashboards are showing green. But customers are complaining. Checkout is slow, carts are being abandoned and revenue is draining away.

Do more with less. That’s the mandate we’re all hearing. AI has fundamentally changed how we work. Modern AI workloads generate 10-100x more queries than humans ever could, pushing legacy architectures past performance limits. And the audacity of it all? Legacy logging vendors continue to raise costs without delivering meaningful innovation. IT and security teams are still forced to choose between speed and retention. Investigations are still slow. Data onboarding is still painful.

Seven developer-requested features. Tighter control over branches, history, and large repos. No CLI detours required. If you have been using GitKraken Desktop in a complex repo, you already know what it feels like when the commit graph turns into a wall of branches. When rebasing requires more ceremony than it should. When you just need one file back from three commits ago but have to orchestrate a whole checkout to get it. GitKraken Desktop 11.10 is built for those moments.

SAP operations teams are drowning. Every day is a battle against alert fatigue, complex root causes, and repetitive firefighting. And while vendor spin will tell you that moving to the cloud or adopting SAP RISE magically simplifies everything, the reality on the ground is entirely different. We call it the Hybrid Cloud Paradox: Different providers might own different parts of your critical business landscape, but you still own the business risk.

Today we’re announcing the CloudZero Claude Code Plugin, a new capability that puts CloudZero’s full cost intelligence model directly inside Claude Code, where engineers and technical FinOps practitioners already work. The plugin connects a Model Context Protocol (MCP) server and nine pre-packaged investigation skills to CloudZero’s cost data, covering cloud and AI spend across AWS, GCP, Azure, Snowflake, MongoDB, OpenAI, Anthropic, and more.

Automated Diagnostics closes the gap between detection and diagnosis instantly. Every IT operations team knows the pressure. When an alert hits at 2 a.m., it’s a race against time to find the root cause before users feel the impact. But gathering diagnostic data such as logs, process stats, and thread dumps can eat up critical minutes. That manual lag is exactly what Automated Diagnostics eliminates.

As we gear up for Grafana 13, the next major release of the open source data visualization platform that we’ll announce at GrafanaCON this April, our engineering team is still shipping some powerful new features along the way. Case in point: Grafana 12.4 is officially here, and there’s a lot to be excited about. The latest minor release includes a ton of updates that help you build and design dashboards faster than ever, as well as manage and scale those dashboards seamlessly over time.