Operations | Monitoring | ITSM | DevOps | Cloud

Let’s start with the obvious: we’d like to have Anthropic as a customer. We greatly admire the work they are doing at the intersection of frontier models + safety. We use lots of different AI tooling at incident.io. We’re all-in at AI at incident.io, both to improve the productivity of our internal team and, more importantly, to provide our customers with superpowers in the form of an AI incident responder.

Server performance metrics help you figure out what’s going wrong, where your bottlenecks are, and how your system handles load. They give you the data to plan capacity, fix issues before they escalate, and build more reliable infrastructure. In this guide, we’ll go over the core metrics that matter, how to monitor them effectively, and the tools that can help along the way.

Over the last few years, more organizations have switched from relying solely on one cloud service provider (CSP) to several. The primary reasons for the change are minimizing dependence on a single CSP, preventing vendor lock-in, and providing greater flexibility. Recent trends include using a mix of cloud providers to take advantage of the cost savings several CSPs offer and using best-of-breed services for different applications, teams, or departments.

For years, IT teams have lived and died by the ticket. Every incident, every request, every change: logged, routed, triaged, assigned. We built entire platforms, teams, and workflows around this idea. But the IT environment has changed. Complexity is exploding. Expectations are rising. And the ticket? It’s become a bottleneck. If you’re in IT operations, you already feel this. The relentless volume. The alert fatigue. The rising MTTRs and missed SLAs. The pressure to do more with less.