Operations | Monitoring | ITSM | DevOps | Cloud

You bought the GPUs to make AI training faster. So why are they sitting idle? When GPU utilization drops during a training run, the obvious answer is to blame the accelerator. Maybe the workload is too small. Maybe the GPU isn't powerful enough. Maybe it's time to add more hardware. But what if the GPU isn't the problem at all? A training workload is only as fast as the infrastructure feeding it.

Autonomous IT operations use AI, operational data, observability, and automation to enable IT environments to detect issues, understand their context, determine the appropriate response, and act with minimal human intervention. As businesses grow, IT environments rarely stay simple. More employees, endpoints, applications, and cloud services generate even more alerts, incidents, and operational work. The traditional model scales linearly: more environment means more manual effort.

Monitoring Kubernetes in production is structurally different from monitoring traditional servers: pods are ephemeral, nodes autoscale, and the layered resource model—containers, pods, nodes, namespaces, deployments, services—creates an observability challenge that tools built for static infrastructure were never designed to handle.

How do you know a server is about to cause problems before it actually does? You track the right metrics. Not all of them, just the leading ones that consistently surface performance issues before they worsen into outages. This guide breaks down the 10 server performance monitoring metrics every SRE should have on their radar.

There is a peculiar moment that happens when talking to AI. You ask it to rewrite an email, it does a good job, and you type, "Thanks!" Then, almost without thinking, you add, "Sorry, one more thing." It is software. It cannot be kept waiting, interrupted, or offended. Still, somehow, you have developed the manners. Then the questions get a little more personal.

Most Azure monitoring setups look the same: Azure Monitor for metrics, Application Insights for apps, Log Analytics for logs, a separate tool for network, and another for cost. Each works in isolation. None of them talk to each other when something breaks. The Azure monitoring tool in ManageEngine OpManager Nexus consolidates infrastructure, application, network, log, and cost visibility data into a single console.

Strategically ready, operationally unsure. That's how 42% of organizations describe their own AI preparedness when it comes to strategy versus infrastructure, data, risk, and talent, according to Deloitte's State of AI in the Enterprise 2026 report. As AI adoption accelerates, organizations now face the mounting pressure from the board to move past pilots and show AI delivering measurable business outcomes.

AI adoption is accelerating across enterprises, but governance isn't necessarily keeping pace. As AI becomes part of everyday business workflows and applications, organizations need to understand where it is being used, what data it can access, and who is responsible for managing the risks. ManageEngine's shadow AI researchhighlights this challenge.

Top tips is a weekly column where we highlight what's trending in the tech world and list practical ways to explore these trends. This week, we're looking at how to search the web more effectively and find the information you need faster. Searching the web can feel a little like playing hide-and-seek. You know what you're looking for is somewhere out there, but the internet has an impressive number of places to hide it.

I don't remember the last time I actually searched for something. Not in the way I used to, anyway. There was a time when having a question meant opening a search engine, typing a few words, staring at a page full of links, opening three or four of them, reading contradictory answers, deciding which one sounded believable, and eventually coming to a conclusion of my own.

Most cloud cost tools assume you're at a desk. CloudSpend for iOS 27 is built around the reality that you're not. The teams that catch runaway spend early aren't necessarily the ones with better dashboards. They're the ones who saw the alert and acted on it fast.

Top tips is a weekly column where we highlight what’s trending in the tech world and share practical ways to stay ahead. This week, let’s look at a few simple ways to take back control of your recommendations, and stop your algorithm from deciding who you are. Let's say you search for a video about running—not because you're planning to run a marathon, but because you just saw someone mention it and wondered what the hype was about. You watch one video. Then another.

GenAI has moved well past the pilot stage. According to a Gartner finding, by 2026, more than 80% of enterprises will have used GenAI APIs or deployed GenAI-enabled applications in production. Today, GenAI is becoming an integral part of how infrastructure and application teams work every day. Organizations are depending on LLMs from a diverse range of vendors—OpenAI, Anthropic, Google AI, and DeepSeek—based on the strengths each offer for different use cases.

Microsoft Azure Monitor is the native monitoring platform for Azure environments. For teams already running workloads in Azure, it offers an obvious starting point: it's built in, deeply integrated, and parts of it are genuinely free.

Monitoring has come a long way. Your team has dashboards, alerts, and automation that would've looked like magic a decade ago. Most days, things just work. But underneath all that tooling, a lot of the actual work still happens manually. An alert fires, and you pull the page-load metric from one tool, the user session logs from another, the backend trace from a third, and line them up until the story makes sense. Ten minutes, maybe fifteen pass, then you are able to fix it and move on.

In 2026, a hybrid cloud is no longer something organizations are working toward; it's already where they are. According to Forrester's The State Of Cloud Series 2026, the vast majority of enterprises across major markets, including the United States, India, Australia and New Zealand, Canada, and the Asia-Pacific region, are running some form of a hybrid cloud, combining public cloud platforms with private infrastructure, colocation data centers, and sovereign cloud providers.

Top tips is a weekly column where we highlight what’s trending in the tech world and share ways to stay ahead. This week, let's look at a few ways you can be a tech-savvy traveler. Being a traveler is not easy, but with today's modern technology, it has become much easier. When we travel to places with no network, we sometimes forget about the ways we can use technology. Excluding the more familiar, I'm going to list some lesser-known tips. 1.