Operations | Monitoring | ITSM | DevOps | Cloud

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.

We are thrilled to announce the release of Charmed Kubeflow 1.10, Canonical’s latest update to the widely-adopted open source MLOps platform. This release integrates significant improvements from the upstream Kubeflow 1.10 project, while also bringing a suite of additional capabilities targeted towards enterprise deployments. Charmed Kubeflow 1.10 empowers machine learning practitioners and teams to operationalize machine learning workflows more efficiently, securely, and seamlessly than ever.

I can't believe it's April already. OnlineOrNot now lets you automatically pause checks on a recurring basis with maintenance windows, there's better support for timezones, loading a lot of data got faster, and more.

Here at Civo, we’re proud to announce that we have become the first UK company to successfully host and operationalize Meta’s new Llama 4 model family on relaxAI, our AI assistant. This breakthrough positions relaxAI at the forefront of sovereign AI development, combining world-class capabilities with uncompromising data protection standards that UK businesses can trust.