Operations | Monitoring | ITSM | DevOps | Cloud

AI Is Reshaping the Tech Industry in 2026: What Consumers and Businesses Need to Know

Artificial intelligence has evolved from an emerging technology into one of the biggest drivers of innovation across the global technology industry. In 2026, AI is influencing everything from smartphones and laptops to cybersecurity, cloud computing, enterprise software, and digital productivity tools. Companies worldwide are investing heavily in AI powered products that improve efficiency, automate repetitive tasks, and deliver more personalized user experiences.

The DevOps Hiring Crunch: How Distributed Teams Are Closing the Gap

Ask any engineering leader what keeps them up at night and "who's covering the pager next Tuesday" is usually somewhere on the list. DevOps and SRE roles have become some of the hardest positions to fill in software, and the shortage is starting to show up in the metrics ops teams care about most: MTTR, alert fatigue, and how many people are burned out on the on-call rotation.

Observability vs. Monitoring for AI Systems

Monitoring tells you when an event you predicted has actually happened. Observability lets you investigate behavior you may not have predicted at all. For most of the past decade, that distinction was something teams could afford to treat as a philosophical debate, because their systems failed in expected ways that had been seen before. A memory leak, a bad deploy, a saturated connection pool. You could build a dashboard and alerts for each and sleep reasonably well.

Let them watch the World Cup. Your network will thank you.

Every four years, workplaces around the world face the same dilemma. The World Cup kicks off, calendars mysteriously empty during match times, and IT teams brace for an invisible surge in traffic. Many employers try to block the streams and fight the inevitable. But what if the smarter business move is simply to accept reality? If your employees are going to watch the World Cup anyway, don't make them do it individually on their work laptops.

15 Best AI Observability Tools for Production Teams in 2026

AI applications generate far more than model outputs. Every request includes prompts, retrieval, tool calls, agent steps, latency, token usage, and evaluation signals that all contribute to the final response. When something goes wrong, engineering teams need to understand what happened, why it happened, what it cost, and whether the outcome met quality expectations.

ManageEngine CloudSpend tutorial: Cost allocation report for AWS, Azure, and GCP

Learn how to use the Cost Allocation report in ManageEngine CloudSpend to accurately split, track, and attribute your multi-cloud spend across AWS, Azure, and GCP. This step-by-step tutorial shows you how to create a cost allocation, choose accounts, apply labels, configure allocation levels, and read the hierarchical allocation report by cloud, account, and region. Cost allocation is the foundation of FinOps. It tells you exactly which teams, projects, and cost centers are driving your cloud bill so you can charge back, budget, and optimize with confidence.

Selector Named as a Representative Vendor in the 2026 Gartner Market Guide for Agentic NetOps Software

Network teams have never been short on expertise. What they are short on is time. As enterprise environments stretch across on-premises infrastructure, cloud, and service-provider domains, the work of investigating issues, validating changes, and coordinating a response across tools and teams has outrun what human-driven operations can sustain.

How to Know If Your MSP is Ready for Network Monitoring Tools

Network monitoring is a cornerstone of running a profitable MSP. If you don’t have network visibility, you’re constantly on the back foot and reacting to client complaints. That’s why MSPs of all sizes typically implement some level of network monitoring. However, what a good set of network monitoring tools looks like for one organization won’t necessarily work for another.