It’s been a long time since our last community update, rest assured that we have been hard at work here at Netdata. Community building is hard, especially when you have such a venerable community like the one here at Netdata, where hundreds of contributors have...
Give a warm welcome to Netdata v1.31.0, which features a re-packaged and redesigned dashboard, more eBPF, new on-node ML, and much more.
Infrastructure monitoring was difficult enough when entire businesses ran off a few bare metal servers in a dusty, forgotten closet. Other IT infrastructure monitoring tools fell short, unable to provide complete and granular-enough metrics in real time, even when we...
We’re excited to introduce Netdata 1.30.0, which features: ACLK-NG: A new custom library for streaming metrics data on demand, written entirely in-house, that’s 4x faster than libmosquitto/libwebsockets. Opt-in product telemetry with PostHog: Goodbye, Google...
As part of a modern software development team, you’re asked to do a lot. You’re supposed to build faster, release more frequently, crush bugs, and integrate testing suites along the way. You’re supposed to implement and practice a strong DevOps culture, read entire...
StatsD is an industry-standard technology stack for monitoring applications and instrumenting any piece of software to deliver custom metrics. The StatsD architecture is based on delivering the metrics via UDP packets from any application to a central statsD server....
Think about any sport or competitive activity, whether that’s football or a spelling bee. They always feature at least one person who acts as a moderator, referee, or judge. With their domain expertise, this person watches everyone’s behavior and constantly compares...
Netdata is architected on every level, across both the open-source Netdata Agent and Netdata Cloud, to help you own every layer of your monitoring experience. With this design, all metrics data collected by the Netdata Agent stays distributed on your node, but you...
With Netdata and StackPulse working in parallel, anyone can troubleshoot new issues with per-second metrics, then standardize remediation.
A guiding philosophy of zero-configuration gets you from 0 monitoring to thousands of metrics, collected every second and visualized in real time, in a matter of minutes.