Netdata Cloud works differently from other monitoring solutions. Most solutions limit the number and frequency of metrics because they rely on architectures that aggregate data. Netdata Cloud, however, streams limited metadata from each node running the Netdata Agent, keeping you in control of the data on your systems. The advantage of this architecture is that there is no limit to the number or frequency of metrics, regardless of the scale or complexity of your IT infrastructure.

Sysadmin Day 2020 is right around the corner and we’d like to show our appreciation for all the sysadmins out there who keep IT humming along and come to the rescue to resolve critical issues day in and day out. This year, we’re celebrating all week long by hosting an IT Heroes and Homelabs contest. Join the celebration by retweeting our post with the hashtag #SysadminDay #NetdataWin, and we’ll enter you in a drawing to win some Netdata swag!

In 2019, the Netdata team already knew that a Netdata Cloud solution in the form of an online platform would greatly complement Netdata’s distributed monitoring by making it much easier to organize large infrastructures and by enabling new ways for teams to collaborate. The old node registry available at the time wasn’t enough for Netdata’s users. Building an online platform, even one that does not directly process users’ metrics, is challenging.

IT is advancing blazingly fast. To keep up with architectural changes and hybrid environments, it’s more important than ever to maintain efficient infrastructure monitoring and troubleshooting. Adding to the complexity is the increase of distributed systems, comprised of many components and services.

Deploying and monitoring performance for an entire Kubernetes cluster can be complex. To simplify the process, we’ve added service discovery functionality to eliminate complex configuration, in addition to more advanced monitoring for viewing activity inside containers. Service discovery identifies k8s pods running on a cluster and immediately starts monitoring system performance. All containers are identified, regardless of complexity.

With the rapid growth of security threats to infrastructure, it’s more important than ever to proactively address vulnerabilities. As an open-source project, built on the trust of users and contributors, Netdata has security concerns at its core. Because we’re committed to code security and quality, we apply Agile principles throughout the software development process. A component of this includes regular static analysis.

We’re in the middle of a scary, uncertain time, and we hope those of you reading are staying safe and healthy. Despite the current challenges, the 40+ members of the remote-first Netdata team have been hard at work on the next version of the Netdata Agent: v1.21.0. This release is foundational: While we do have fantastic new collectors and three new ways to export your metrics for long-term storage, many of the most significant changes aren’t even those you’ll notice.

The coronavirus (COVID-19) pandemic has forced many organizations to take unprecedented steps towards remote working. As a fully distributed team, we’ve faced the common challenges of remote work. Based on our experience from our very beginning in 2018, all but a few of these organizations new to remote working will face hurdles to overcome and may try to revert to colocation as soon as possible. Remote working is hard, even when it’s carefully planned and executed.

Netdata contributors have greatly influenced the growth of our company and are essential to our success. The time and expertise that contributors volunteer are fundamental to our goal of helping you build extraordinary infrastructures. We highly value end-user feedback during product development, which is why we’re looking to involve you in progressing our machine learning (ML) efforts!

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.