ilert offers over 100 out-of-the-box integrations commonly used in IT operations. From monitoring and observability platforms to ITSM solutions, chat and collaboration apps, fleet management, and IoT tools—these and many others are used daily by engineers worldwide to achieve operational excellence. However, there are also tools outside the developer's usual scope that can prove helpful during incidents.

Managing IT operations is becoming more complex with the rapid evolution of IT environments. As a result, leaders are looking for more efficient, intelligent ways to monitor and maintain their IT systems. AIOps has evolved as one of the most promising solutions in recent years. AIOps uses machine learning (ML), big data, and automation to streamline IT operations.

On October 1, 2024, TIBCO Mashery, an enterprise API management platform leveraged by some of the world’s most recognizable brands, experienced a significant outage. At around 7:10 AM ET, users began encountering SSL connection errors that appeared straightforward at first glance.

In the fast-paced and highly competitive world of B2B, SaaS, and startups, staying ahead of potential issues and managing incidents swiftly is critical to maintaining customer trust and operational efficiency. Incidents can disrupt services, impact users, and damage a company's reputation, so it’s essential to have a reliable incident management process in place.

Imagine having a concise, AI-generated report of any incident at your fingertips. That’s what Squadcast’s new Incident Summaries feature delivers—instant clarity on ongoing issues, saving precious time during critical moments. At any point in time, any stakeholder or a responder can simply generate and view the incident summary with all important details highlighted, essentially offering a single pane of glass.

Trust doesn’t just happen overnight. For us at incident.io, it’s been a journey—one that’s focused on people just as much as the product. From the start, we knew that building great incident management software wasn’t just about creating features and functionality. It was about building relationships, understanding our users, and truly being there for them when it matters most. Our focus has always been to help teams manage incidents better.

We’ve posted before about how engineers on call at Honeycomb aren’t expected to do project work, and that whenever they’re not dealing with interruptions, they’re free to work on whatever will make the on-call experience better. However, all of our engineering rotations rely on hand-off meetings where they update the Slack groups with everyone who’s on call. During my last shift, a small problem kept causing friction for some of our incident management automation.

Recently, I came across this Reddit post highlighting the challenges of having ineffective alerting rules: And, here at OnPage we have experience with various companies who have dealt with just that, so I felt I should share some of our top tips for creating effective alerting rules in this blog. Read on to discover…

When incidents occur, engineers must jump into action to get systems back to running at peak performance. However, there are a myriad of challenges that can prevent them from resolving the issues swiftly. Imagine a scenario where a team of DevOps engineers manages a cloud-based e-commerce platform that experiences occasional spikes in traffic during peak shopping seasons. During one of those major sales events, the team notices a sharp spike in CPU usage across several critical application servers.