Operations | Monitoring | ITSM | DevOps | Cloud

The need to differentiate IT Service Management (ITSM) and Enterprise Asset Management (EAM) has now become impractical in an era of immense technological complexity and unlimited demands for operational efficiency. Organizations today increasingly rely on both digital services and physical assets to derive value; however, siloed processes and disparate data repositories lead to slow incident resolution, uncoordinated change initiatives, and hidden risks.

WiFi Access points (APs) are the foundation of business WiFi. They’re the devices making sure laptops, smartphones, and even IoT gadgets connect reliably without cables. If an access point fails or becomes overloaded, the entire wireless experience can collapse, no matter how strong your Internet connection is. By keeping a close eye on your APs with the right WiFi access point monitoring software, you can catch issues before users even notice them.

And how to apply these two concepts to improve service delivery across departments.

In the rush to adopt AI in IT operations, many organizations focus on feeding copilots as much data as possible. But here’s the problem: data without context is just noise. An IT copilot that can’t distinguish what matters from what doesn’t won’t reduce alert fatigue or accelerate troubleshooting.

You’ve successfully run a Fault Injection test and uncovered a new failure mode before it impacted customers. And the failure could have taken down your whole system if it had happened in production. Now what? Since this is a potential P1 outage, you absolutely need to address the issue, but that’s going to take some time as you dig through the service to track down the problem. Unfortunately, this is a common conflict.

As IT environments grow more distributed and resilient, the Progress WhatsUp Gold network monitoring solution is evolving to meet the moment. Starting in early 2026, Progress will officially retire the legacy Failover Manager and usher in a new era of high availability (HA) by design. This modern, scalable approach aligns with today’s best practices in infrastructure.

AI assistants have transformed how developers work. And now coupled with the Cortex MCP that connects AI assistants directly to live service data, ownership records, and organizational standards, developers can get accurate, context-rich answers about their services and standards right in their IDE. → Tips and prompts for developers using the Cortex MCP But what about engineering leaders?! Your opportunities with AI assistants extend far beyond code generation.