Operations | Monitoring | ITSM | DevOps | Cloud

The latest release of cfbs (4.4.0 released April 4th, 2025) introduces the analyze command. Last time I used this (Show notes: The agent is in - Episode 47 - Preview of cfbs analyze) I had installed it from a git clone, now I want to go back to regular install command output Now, cfbs help should have our new cfbs analyze option: command output Let’s grab oldest version of the Masterfiles Policy Framework that cf-remote knows about and test it out.

GitLens 17.0 delivers a transformative update that revolutionizes Git workflows directly within Visual Studio Code. This release introduces GitKraken AI, native Bitbucket integration, and advanced multi-commit capabilities designed to eliminate friction points throughout your development process.

Organizations today are grappling with an explosion of telemetry data growth as cloud adoption accelerates, digital infrastructures expands, and operational complexity increases. More data creates more challenges for IT and security teams as they struggle to separate signal from noise while maintaining compliance and efficiency within constrained budgets. It often feels like being caught in the deep end of a wave pool without a floatie, with each new data source sending another wave crashing down.

More people will build and ship applications in the next year than in the 10 years previous. As more applications make their way into “launched”, by developers of all experience levels, making sense of “what broke”, “why”, and clear paths to fixing it is going to become more and more important. This is why it made sense for Sentry to be one of the first platforms launching Vercel’s new Observability Marketplace category.

Serverless computing requires a significant shift in how organizations think about deploying and managing applications. No longer do Ops teams need to think about provisioning servers, installing operating system patches, and writing shell scripts to manage deployments. While serverless takes away much of this responsibility, one aspect still needs to be handled thoughtfully: reliability. In this blog, we’ll look at three important facts about serverless reliability that teams often overlook.

Gone are the days when scaling meant downtime, and introducing breaking fixes to production were more commonplace. In today's age of software development companies are adapting and quick to iterate, though we are still learning. The truth is Kubernetes has played a huge part in revolutionizing software development but it is not so straightforward as, 'adopt K8s and your organization will suddenly move in the right direction'.

From desktops to applications and everything in between, Nexthink has delivered unmatched visibility enabling IT teams to see, diagnose, and fix issues plaguing the digital workplace. But, digital workplaces looking to supercharge employee productivity need more. Enter Nexthink Adopt, your new ally in eliminating friction and driving flawless adoption and usage of your most critical business applications.

Enterprise IT leaders are under growing pressure to streamline operations, reduce manual effort, and drive efficiency. End-to-end process automation solutions have emerged as a strategic priority, enabling businesses to connect disparate systems, remediate problems, and scale with agility. However, navigating the crowded automation marketplace—and understanding what a true end-to-end solution looks like—can be daunting without the right guidance.

Imagine this: a high-priority alert is triggered, but it’s routed to the wrong team, or delayed by manual triage. By the time the right person is notified, the issue has escalated, and users are starting to notice. Technical failures don’t always cause these kinds of incidents. More often, they stem from something simpler: poor alert routing.

Imagine this: You’ve got a business problem to solve. Instead of waiting on dev cycles, planning sprints, and juggling priorities, you just ask an AI assistant to write the code for you. A few seconds later, it hands you the solution — and with your AI also providing a step-by-step deployment guide, what could be simpler? That’s the promise of AI Vibe coding — a future where anyone can build and deploy software just by describing what they want in natural language.