Operations | Monitoring | ITSM | DevOps | Cloud

A Quick Guide To Kubernetes Observability

Many companies are rapidly adopting cloud-native computing services, like containers, microservices, and serverless computing. Unlike monolithic applications, these technologies rely on distributed architectures. Whether you are running them in the cloud, on-premises, or both, distributed systems consist of thousands or millions of processes and components. The challenge now is to make these complex systems’ inner workings visible, controllable, and improvable.

Integrating AI into Your Business Website

Let's start with the most obvious entry point: chatbots. These little text-box gremlins can handle customer queries, book appointments, suggest products, and provide support 24/7 without ever asking for a lunch break. They're not just helpful, they're expected. But make sure they don't sound like a malfunctioning toaster. The best chatbots are conversational, helpful, and a little bit charming. Think less "HAL 9000" and more "friendly guide who actually listens."

F5 Monitoring on Microsoft SCOM

As part of a recent customer project, we developed a custom F5 Management Pack for Microsoft System Center Operations Manager (SCOM). This bespoke solution enables IT operations teams to monitor the performance, availability, and health of F5 infrastructure directly within the SCOM environment. It provides deep visibility into key metrics, helping ensure application delivery remains stable, secure, and efficient.

Self-hosted runners vs cloud CI/CD: A complete decision guide

Your CFO just asked about operational efficiencies across the engineering org. Tooling budgets are under the microscope, and suddenly CI/CD costs are getting attention. Sound familiar? When the pressure’s on to cut software spend, CI/CD often looks like a tempting target. It’s visible, measurable, and seemingly easy to move.

Beyond the code: Shipping faster with AI with Leo P.

We’re running a short mini-series on The Debrief podcast called Beyond the code, where we interview our engineers about what it’s really like to build at incident.io. In this episode, we chat with Product Engineer Leo about how we’re using AI tools like Claude Code to ship more product, more quickly.