The perception that Netdata is only capable of short-term metrics storage is a myth. It’s a pervasive myth we still see in blog posts and through community engagement, despite it being false for more than a year. However, like all myths, this one on metrics storage began with a kernel of truth. When Netdata first flourished as an open-source project in 2017 and 2018, the default metrics database was RAM-only.
Whether you’re a site reliability engineer (SRE), DevOps engineer, or any other role that plays a part in maintaining uptime for your company’s infrastructure, it’s critical to have visibility into all of your systems, regardless of their operating system. This includes monitoring Windows systems, which is a popular use case for Netdata’s community. Here’s the caveat: Netdata has no native Windows monitoring agent.
As with most commercial products, software today is mass produced for reasons of simple economics. But making the same software work for as many people as possible while also meeting the unique requirements different people and organizations have is a challenging task.
I’m excited to announce an extension to Netdata’s series A funding in the amount of $14.2M, bringing the total amount of funding to $31M. We’re thrilled to share the news; the additional funding will help us continue building the future of health monitoring and performance troubleshooting. In case you missed it, our mission is to redefine infrastructure monitoring. Our unique approach to building the right solution with and for the community is no easy task.
When an incident strikes, and every minute spent on root cause analysis delays the time to resolution, the real-world consequences can be dire. Troubleshooting an event requires a certain data set: every metric, at the greatest granularity, in one place, available in real time. Limits on the number or type of metrics, collection frequency, or time to visualization can mean the difference between timely resolution and unacceptable losses in time, money, and productivity.
Today, we are excited to launch our first Netdata Cloud Insights feature, Metric Correlations, developed for discovering underlying issues more quickly and identifying the root cause more efficiently. Read on to learn more about our approach to developing this new feature, how it works, and the many benefits you’ll find incorporating this into your team’s troubleshooting workflow.
We’re excited to announce that we’ve been named to the Forbes 2020 Cloud 100 Rising Stars. This is a list of the top 100 private cloud companies in the world, published by Forbes in partnership with Bessemer Venture Partners and Salesforce Ventures. The 20 Rising Stars represent young, high-growth and category-leading cloud companies who are poised to join the Cloud 100 ranks.
The v1.25.0 release of the Netdata Agent delivers on our commitment to make our metrics collection, visualization, and troubleshooting platform more stable and usable. We enhanced our recently-added Prometheus collector with user-configurable filtering and grouping, made dramatic improvements to the reliability of the Agent-Cloud link that streams metrics on-demand to your browser when you use Netdata Cloud, and more. Let’s jump in and look at each improvement.
We recently adopted NodeBB as our software of choice for building the Netdata Community. We have many good reasons for why we wanted to provide our community with a proper home online, but I wanted to cover some of the technical reasons for choosing NodeBB for our platform, and the many parallels between the NodeBB and Netdata projects, which was certainly a driving force behind this decision.
This release broadens our commitment to open standards, interoperability, and extensibility with a new generic Prometheus collector that works seamlessly with any application that makes its metrics available in the Prometheus/OpenMetrics exposition format, including support for Windows 10 via windows_exporter. Netdata will autodetect over 600 Prometheus endpoints and instantly generate charts with all the exposed metrics, meaningfully visualized.
