Operations | Monitoring | ITSM | DevOps | Cloud

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.

As a project manager for a small Rails agency, I find it challenging to keep track of every client’s application. Is the site live? Is it stable? Do we have a silent issue that frequently rears its head? AppSignal makes things like anomaly detection, uptime monitoring, and issue resolution easy, even for a non-technical project manager!

Debugging software, whether during development or incident investigation, often begins with a manual and error-prone process. Developers typically scatter logs and snapshots across the codebase, allowing them to trigger multiple times. They then inspect the outputs and sift through the results to identify those relevant to the issue under investigation. Developers tend to group results that stem from the same user request or transaction.