Operations | Monitoring | ITSM | DevOps | Cloud

As a Performance Field Technical Consultant working with customers in the legal industry, my primary focus is to ensure that technology enhances productivity rather than hinders it. Legal professionals rely on iManage as a business-critical application for document management, collaboration, and compliance. However, with the increasing shift to the cloud and integration with platforms like O365, ensuring a seamless user experience has become more complex.

On Tuesday, Feb. 18, 2025, we experienced an outage that lasted approximately 150 minutes and impacted roughly 25% of our Grafana Cloud services. To our customers: we are very sorry and more than a little embarrassed that we stepped outside our own processes and advice to cause this. You rely on us to help monitor and troubleshoot your environments, and this type of incident obviously makes it harder for you to do that.

If you're using Playwright for end-to-end testing or synthetic monitoring with Checkly, you've likely considered reusing your test code across different test cases. A common approach for this is using Page Object Models (POMs). However, if you're like me, you might have mixed feelings about POMs—while they help organize your code, they can sometimes feel cumbersome to set up and maintain.

Technical debt accumulates when short-term solutions lead to long-term software inefficiencies, increasing maintenance costs, slowing development, and degrading performance. To effectively manage technical debt, teams need full-stack observability, from a high-level application view down to code execution and thread-level analysis. Tackling technical debt ensures long-term software sustainability.

I’ve increasingly changed my perspective on LLMs and modern AI systems over the past few years: Let me elaborate on why I believe this now.

Logging in Node.js might not be the most exciting part of development, but it’s one of the most important. Whether you're troubleshooting bugs or keeping track of how your app is running, good logs make life easier. Let’s break down how to set up logging the right way.

Have you ever opened your Kubernetes dashboard and wondered why your app seems to slow down? As containers multiply rapidly, keeping track of CPU usage becomes a must. Let’s break it down by focusing on one key metric: container_cpu_usage_seconds_total.