Linux eBPF monitoring with Netdata

Your application isn’t finished when you’ve closed the last if block and you lined up all the brackets. There’s a whole other world of testing, debugging, and optimization that you haven’t even touched yet.

To help you more safely step into that complex phase of making your application even better, we’ve just released a brand-new eBPF collector in v1.20 of Netdata. With this collector enabled, you can monitor real-time metrics of Linux kernel functions and actions from the very same monitoring and troubleshooting dashboard you use for watching entire systems, or even entire infrastructures.

With per-second metrics on system calls, file descriptors, virtual file system I/O, and process management, you can debug faster, get smarter about performance optimization, and save some of your valuable time.

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Release 1.20: Kernel monitoring ‘superpowers’ and infrastructure-wide labels

In Netdata’s first major release of 2020, we’re introducing two new features on the opposite ends of the monitoring spectrum.

On one hand, we’re releasing an eBPF collector, which lets you collect, monitor, and visualize incredibly precise metrics straight from the Linux kernel. On the other, we added the ability to label agents to help you organize entire infrastructures and see every important piece of information about streaming nodes in one place.

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Docker container monitoring with Netdata

Properly monitoring the health and performance of Docker containers is an essential skill for solo developers and large teams alike. As your infrastructure grows in complexity, it’s important to streamline every facet of the performance of your apps/services. Plus, it’s essential that the tools you use to make those performance decisions work across teams, and allow for complex scaling architectures.

Netdata does all that, and thanks to our Docker container collector, you can now monitor the health and performance of your Docker containers in real-time.

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Introducing Netdata’s step-by-step tutorial

Health monitoring and performance troubleshooting aren’t easy. That’s exactly why we’re building Netdata, to democratize monitoring and make it accessible to anyone interested in learning more about their systems and applications.

Of course, teaching a complicated topic isn’t easy either.

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Redefining monitoring with Netdata (and how it came to be)

I wanted to follow up Ron Miller’s article in TechCrunch about Netdata’s Series A funding from September with the story of Netdata’s inception.

It all started when I got… pissed off.

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