Operations | Monitoring | ITSM | DevOps | Cloud

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.

Ever felt like you're missing crucial insights into your Java applications? The OpenTelemetry Java Agent changes that game completely. This comprehensive guide takes you beyond the basics, showing you not just how to implement it, but how to master it for maximum observability.

Businesses today rely on multiple cloud services to manage their operations. Whether it's hosted services like AWS, customer relationship tools like Salesforce, or marketing platforms like HubSpot, these services play a crucial role in day-to-day business functions. However, businesses can suffer significant disruptions when a third-party service experiences downtime. A single outage in a critical service can halt operations, causing frustration for both employees and customers.

In today’s hybrid work environment, Microsoft Teams has become the backbone of business communication. But as organizations rely more on Teams and Teams Phone, unexpected performance issues can lead to costly downtime, frustrated employees, and disrupted workflows. Traditional reactive troubleshooting is no longer enough—businesses need a proactive approach to ensure uninterrupted collaboration.

In today's fast-paced IT environments, managing the Digital Employee Experience (DEX) shouldn't require mastering query languages or wading through endless data. IT teams need immediate answers, not more complexity. That’s why we have built Nexthink Assist, our AI-powered virtual assistant in Nexthink Infinity. By leveraging the power of Generative AI (GenAI) and Large Language Models (LLMs), Assist transforms the way organizations manage their DEX.