Operations | Monitoring | ITSM | DevOps | Cloud

We are excited to announce that Netdata has officially implemented the Model Context Protocol (MCP), joining the forefront of AI-powered infrastructure monitoring.

High-availability (HA) systems form the backbone of modern enterprise applications. In today's always-on world, Java applications are expected to deliver consistent performance with minimal downtime. However, achieving this critical objective is impossible without a well-defined and executed monitoring strategy. A robust Java monitoring approach is essential to ensure resilience, uptime, and peak performance.

Apple’s WWDC 2025 delivered a wave of exciting updates for anyone involved in managing company devices. With improvements designed to simplify provisioning, strengthen app controls, and expand what Apple Business Manager can do, these changes are all about making life easier for IT teams irrespective of the industry. In this article, we’ll break down the key announcements and explore how they could reshape the way you manage your organization’s Apple devices.

Despite years of investment in observability stacks and AI dashboards, most IT organizations still struggle with one uncomfortable truth: they can’t identify root cause in real time, and they can’t explain how technical failures impact the business. Not in dollars. Not in user flows. Not in boardroom language. What’s worse, they often don’t realize what they’re missing.

Your server's been logging everything—it’s just easy to overlook until something breaks. Every incoming request, database call, or auth check ends up in your access logs. They’re not flashy, but they quietly document every interaction your system handles. For developers, they’re often the most reliable starting point when things go wrong. In this blog, we'll take a look at what an access log is, its format, types, and a few best practices.

“Traceroute? You mean the thing I can type at the command line? Why would I even want to set up a test for that?” This is, believe it or not, a comment we hear a lot at Catchpoint. At least from folks who are either new to tech, new to monitoring, or new to Catchpoint (or all three). It’s a common misconception. It’s also something I’m not going to spend a ton of time addressing here. This blog is not meant to convince you why traceroute is super useful (even though it is).

Benchmarking the environment of a new network is a crucial part of ensuring its success when it goes live. This includes stress testing and generating traffic on existing networks, both of which help you to identify any potentially flawed or vulnerable areas—for example, drops in connection and packet loss. As we know, network traffic is critical to the success of a business, as it determines how data flows and how effectively your applications interact.

As developers, we often fall into common pitfalls that impact the performance, security, and scalability of our applications. From neglecting data validation to overengineering, and from ignoring async/await to mishandling resource disposal, even experienced C# developers can make these mistakes. In this post, I've gathered some of the most frequent issues developers encounter in C# and how to avoid them with practical solutions.

Time series data, such as IoT sensor readings or stock market ticks, flow in fast, often at a rate of millions of points per second. Querying this data, especially years of historical records, can be slow and painful if using a nonspecialized database rather than a time series database like InfluxDB.

If your users are spread across the globe but your servers are sitting in Virginia, you’ll probably hear complaints about slow load times, especially from places like Australia. CDNs fix this by caching static assets closer to where your users are. Azure CDN does exactly that, and it fits well if you're already using Azure services. You can hook it up to Blob Storage, App Services, or your origin. This guide covers how to set it up, what to expect, and how to know it’s working.