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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Release 1.19: More efficient DevOps with web log parsing and unit testing

Network monitoring is complex, which is why we’re developing a monitoring tool that will drastically increase DevOps productivity. This release is all about improving Netdata’s day-in, day-out performance. We’re working hard to make deploy enhancements that help engineers make faster, smarter decisions about their systems.

v1.19 of Netdata delivers a vastly improved way to collect, parse, and understand the health and performance of any service or application that runs through an Apache or Nginx web server.

And, perhaps more importantly, this improvement lands us one step closer to a generic application log parser for Netdata.

Web log parsing comes on top of 19 bug fixes, 17 improvements, and 18 documentation updates. Let’s jump in.

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Building an agile team’s ‘safety harness’ with cmocka and FOSS

Netdata is made up from agile teams who are deeply committed to improving the usability of our product. We want to respond to our users and introduce in-demand features. Working directly with our community is the best way to make Netdata better. But we face the same the dilemma as all agile teams: How do we do this safely? Safety means that we can move quickly without compromising the quality of our code.
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Release 1.18: What’s new with the database engine?

As your infrastructure grows more complex, storing long-term metrics becomes difficult and costly to retain. Your team stars to limit the amount of historical data they archive, causing gaps in coverage. Anomalies start to slip through the cracks.

Version 1.18 of Netdata aims to solve the monitoring metrics storage problem once and for all.

Aside from 5 new collectors, 16 bug fixes, 27 improvements, and 20 documentation updates, here’s what you need to know.

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Release 1.17: Collection frequency gets flexible

The next version of Netdata has arrived! Aside from dozens of quality-of-life and papercut fixes, we’ve launched some new features we know you’ll be excited to use straight away.

Let’s dive in.

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How and why we’re bringing long-term storage to Netdata

We’ve built a lot of amazing things into the open-source Netdata monitoring system. But, no matter how far we’ve come, we’ll always be proud of how little RAM it uses.

Right now, Netdata stores metrics in your system’s RAM using a ridiculously efficient database. It only saves or loads historical metrics from disk when you restart it. With this system, Netdata can be both low-resource and exhaustive in its collection of real-time metrics.

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