Operations | Monitoring | ITSM | DevOps | Cloud

Your app logs start simple—maybe a few print() or logging.info() calls. But in production, things get noisy. Thousands of log lines per minute, scattered across services, and it’s hard to know what matters. This is when tools like Graylog and the ELK stack help. They let you collect, search, and make sense of logs, but they do it in different ways. This guide breaks down how each one handles setup, scale, and day-to-day use.

Most of the time, nothing’s broken. Traffic’s flowing, alerts are quiet, and everything seems fine. That’s peacetime, when no one’s getting paged. Coroot helps in both peacetime and wartime. When things go wrong, it guides you to the root cause fast. But during peacetime, it helps you spot risks early, clean up inefficiencies, and prevent those incidents from happening in the first place.

In leaf-spine data center networks, traffic often becomes imbalanced, leaving some uplinks idle and resulting in wasted bandwidth. Kentik helps engineers identify underutilized paths, diagnose the causes, and take corrective action using enriched telemetry, visual topology maps, and intelligent alerts, turning hidden inefficiencies into actionable insights.

With all the rapid advancements in machine learning and AI, it can feel like we’re constantly playing catch-up. Over the last two Civo Navigate conferences, Berlin 2024 and San Francisco 2025, Civo brought together leading experts to discuss the future of AI, machine learning, and the growing challenges and opportunities for developers and businesses.

Even a few seconds of delay in your network can be the difference between closing a deal on a video call, or watching it buffer into oblivion. These delays, known as latency spikes, are unpredictable surges in the time it takes for data to travel across your network. Whether you're running a cloud-based CRM, managing VoIP calls across offices, or supporting remote teams on Microsoft Teams or Zoom, latency spikes can disrupt productivity, hinder performance, and lead to a flood of support tickets.

When managing and troubleshooting IIS (Internet Information Services) web server performance, logs are a critical resource. They capture detailed information about every request and response so your team can detect issues quickly. Let’s walk through the main IIS log formats, explore a sample log file, and break down five key types of IIS metrics you should monitor.

Just when you’d finally wrapped your head around AI, here comes its autonomous cousin, Agentic AI. Think of it as AI that doesn’t just assist, but acts. It makes decisions, handles tasks, and communicates with other systems on its own. While it’s revolutionizing supply chains and customer experiences, there’s a catch. These autonomous agents rely on a plethora of third-party services, and when one fails, everything stops.

In this day and age, rare is the organization (if there is one at all) that has never been hit by a cyberattack. Few have escaped the nightmare of systems going down, customers losing access to their accounts, or payments getting stuck mid-transfer. Just as common is all the stress on the path to recovery and the absence of a structured, streamlined, and repeatable process for effectively preparing for the worst.

Lately, there has been a growing buzz around the concept of “Vibe Working,” where teams are leveraging AI to dynamically share, develop, test, and transform “fuzzy” ideas into something useful in real-time. I view this approach as one of the next significant evolutions in our professional and technological landscape. Reflecting on my own journey in technology, I’ve observed how the pace of innovation and collaboration continually reshapes our daily workflows.

Java license monitoring has now become an essential requirement for many organizations as Oracle’s recent licensing changes have made compliance mandatory, with increased risks of audits and higher Java licensing compliance costs. Once a free programming platform, Java now requires navigating a complex licensing framework, including employee-based models that tie costs to the size of a workforce. These changes significantly increase the risk of unbudgeted expenses for licensing violations.