Operations | Monitoring | ITSM | DevOps | Cloud

Last week, I ordered a pizza on a food delivery app. And they promised the delivery in 30 minutes. Similarly, all digital services: Apps, websites, cloud platforms, etc, make promises about speed, uptime, and reliability. The difference is how they track and measure those promises. That’s where SLA, SLO, and SLI come in. These three metrics define what “reliable” actually means. They turn a vague claim like “99.9% uptime” into something you can measure, track, and act on.

ilert’s engineering team has developed an open Model Context Protocol (MCP) server that enables AI assistants to securely interact with your alerting and incident management workflows, from determining who is on call to creating incidents. In this article, we provide a simple explanation of MCP, outline the reasons behind our investment in it, describe the high-level architecture, and explain how to connect Claude, Cursor, and other MCP clients to ilert today.

Large enterprises face the challenge of managing high-volume, very diverse data streams that span both legacy and modern, digital systems and applications. To gain timely, accurate insight across this kind of complexity, IT teams need observability platforms that can do more than just monitor - they must also unify, contextualize and enrich data so teams can act effectively to protect the availability of the services their customers rely on.

With increasing cyberattacks and cloud outages, maintaining system resilience is critical. A robust Disaster Recovery (DR) strategy enables teams to prepare for unexpected events. It makes sure they can recover critical systems and data with minimal disruption. This blog will cover what disaster recovery is, why it matters, and the key components of an effective Disaster Recovery Plan. We’ll also walk through the steps for creating your own strategy.

Top tips is a weekly column where we highlight what’s trending in the tech world and share ways to stay ahead. This week, we’re talking about something every IT team knows too well—incidents. Whether it’s a sudden server crash, a network outage, or a system slowdown right before an important client call, incidents always seem to strike at the worst possible time. No matter how strong your IT setup is, issues are bound to happen.

The best way to minimize the impact of an incident is to catch it early, before small issues snowball into major disruptions. That requires maintaining healthy systems and ensuring sufficient resources are available when problems arise. But developers and IT operations pros working in large enterprises face a challenge: Complex systems operate in an inherently degraded state. In his essay “How Complex Systems Fail,” Dr.

The engineer you pay $200,000 a year just spent an hour copy-pasting data between dashboards. Again. Software engineers have critical skills that are in the highest demand. And yet, many world-class engineers are currently spending too much of their time clearing tickets, routing alerts, and responding to the same types of incidents over and over again. This operational toil is costing you.

The recent AWS outage exposed how fragile the internet remains. Amazon traced the hours-long disruption to a DNS error—a small failure with massive reach. For most organizations, DNS operates quietly in the background. When it fails, every digital service connected to it stops. One of LogicMonitor’s valued customers, IG Group, faced a similar event less than ten hours after enabling Edwin AI.