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The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.

Building the AI Stack for Modern Network Operations - Surya Nimmagadda

AI is rapidly transforming network operations — but what does it actually take to build an AI stack that works in production? In this session from AI for Network Leaders – Powered by Selector, Surya Nimmagadda breaks down how modern AI systems for network operations are designed, deployed, and used today. He covers: This session is designed for network engineers, architects, and operators looking to move beyond theory and understand how AI is being applied in real production environments.

The Strategic Advantage of App Intelligence: How Data-Driven Insights Fuel Mobile Growth

In today's hyper-competitive mobile ecosystem, launching an app is no longer the hardest part-scaling it is. With millions of apps competing for attention across major app stores, success depends on more than just a great idea or clean design. Developers, marketers, and analysts must rely on data to understand user behavior, monitor trends, and outmaneuver competitors. This is where mobile app intelligence platforms have become essential.

Why Commercial Roofs Are Quietly Becoming Smart Infrastructure

Here's something most building owners don't think about until it's too late: the roof over your head is no longer just a passive layer of protection. It's becoming one of the most strategically important assets in your entire portfolio.

Where is your business wasting time & money?

Whether you have a new startup or an established company, it is very likely that your business is losing time and money. Worse still, it's likely happening in multiple places. Thankfully, if you are prepared to identify and address those issues, you can significantly improve the venture. Here are five focal points that should lead you to greatness.

AI Meeting Bots Were Just the Beginning. Meet the AI Collaborator

Why the next era of enterprise AI isn’t about note-taking — it’s about digital workers who actually show up and do the work. There’s a moment every IT operations leader knows well. A critical incident hits at 2 PM on a Tuesday. Within minutes, a war room meeting spins up — a Google Meet or Teams call crowded with network engineers, SRE leads, cloud architects, and storage admins, all staring at dashboards and talking over each other. Someone is manually pulling syslog data.

Debug frontend issues with AI: Real user monitoring meets the Coralogix MCP server

It is 2 AM. Someone on-call gets paged. Conversion rates on the checkout page dropped 30 percent in the last hour. The immediate questions are familiar. Is this a JavaScript error? A slow API call? A broken third-party script? A performance regression that never throws an exception but quietly drives users away? In most teams, answering those questions is not hard because the data is missing. It is hard because the investigation is split across too many places.