Operations | Monitoring | ITSM | DevOps | Cloud

Several years ago, while surfing the web, the author of these lines discovered something unexpected… an organization with focus on optical networks he had not heard of before.

The Configuration Management Database (CMDB) has been the backbone of IT Service Management (ITSM) and IT operations for years. A CMDB is a central repository that stores information about IT assets, configurations, and dependencies, enabling organizations to manage their IT infrastructure more effectively.

For enterprises embracing Kubernetes, managing these intricate environments can pose significant challenges. Thankfully, monitoring of Kubernetes clusters is readily achievable using the Universal Monitoring Agent (UMA) in conjunction with DX Operational Observability (DX O2).

We are thrilled to announce the next major milestone in our platform vision: Qovery observability! Qovery Observability is our new product, ready to give you the fastest way to gain a crystal-clear, unified understanding of your application and infrastructure. Fully managed, zero lock-in, you keep the data. Devs love it, no DevOps needed. Coming soon!

Insecure system configuration is a textbook example of how neglected settings can create an entry point for attackers targeting your CI/CD pipelines. It’s rarely the cutting-edge zero-day that causes a breach. More often, it’s the unpatched service, the overly permissive role, or the default password that was never changed. While this risk overlaps with CI/CD credential hygiene (covered in Part 6 of our OWASP CI/CD series), the focus here is much broader.

AI adoption is accelerating across nearly every industry. According to McKinsey’s 2025 State of AI report, 78% of organizations now use AI in at least one business function, up from just 55% the year prior. From real-time analytics to generative tools and process automation, AI is becoming a fundamental part of how modern businesses operate and compete.

AI discourse these days is all over the place. Depending on who you talk to, AI’s are absolute flash-in-the-pan junk, or they’re the best thing since sliced bread. I want to cut through the noise, though, and see for myself what someone can do out here on the bleeding edge. Thus, I’m setting myself a challenge: write a usable—and useful—application with Claude Code, from soup to nuts. Here are the rules: With our ground rules established, let’s figure out our app!

In Grafana Cloud, we offer a range of AI capabilities to support your observability needs, including a feature for forecasting on any of your metrics and coupling it with Grafana Alerting. This is critical functionality if you want to make the switch from reactive to proactive alerting, as troubleshooting a problem before it arises is an important part of modern observability.

Kubernetes makes it easy to scale applications. But when it comes to CPU resource management, a poorly tuned cluster can quickly become unstable or inefficient. For network engineers, setting CPU requests and limits correctly—and understanding the deeper implications—is essential for keeping workloads efficient, costs predictable, and noisy neighbors in check.

In a perfect world, log anomalies would speak clearly and never at 2 a.m. But in reality, log data is massive, alerts can be cryptic, and critical issues often get buried in the noise. That’s why choosing the right log management tool is crucial, it’s the first line of defense against downtime, breaches, and costly oversights. This blog breaks down some of the top log management tools on the market, what they do well, where they stand out, and how they fit into your stack.