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Netdata actively supports and is a member of the Cloud Native Computing Foundation (CNCF)
…and due to your love ❤️, it is one of the most ⭐'d projects in the CNCF landscape!
Netdata is different. Real-Time data collection and visualization. Infinite scalability baked into its design. Flexible and extremely modular. Immediately available for troubleshooting, requiring zero prior knowledge and preparation. Open to be integrated to existing monitoring tool chains like Prometheus and Grafana, Graphite, OpenTSDB, InfluxDB, or even third party commercial solutions.
Netdata is committed to open-source. The heart of our software and the key building block of the Netdata ecosystem, the Netdata Agent, is open-source licensed under GPL-v3+. The Agent is the database, the query engine, the health engine, the machine learning engine, based on which users gets all its advantages. The Agent is our gift to the world! And we love community contributions!
By storing data distributed, as close to the edge as possible, Netdata scales amazingly well. Whether it’s in bare-metal servers, cloud deployments, containers and IoT devices, Netdata will provide real-time high fidelity, an ultralight operation, hardwired data privacy, and scalability at a marginal cost.
Instead of requiring you to have a deep understanding of what each metric is, and spend huge amounts of time to configure monitoring, Netdata collects, stores, queries, visualizes, sets up alerts and even trains machine learning models for EVERYTHING! So, you are empowered with the ability to understand the metrics while you are exploring your infrastructure and your applications, or while you are troubleshooting issues.
The Netdata Agent you install on your systems, is your database. Netdata Cloud combines all your agents together into one huge distributed database, utilizing CPU, Memory and Disk resources that are already available and spare on your production systems. Even when centralization points are needed to provide higher data availability, each Netdata installation can easily scale to millions of metrics per second! All these make Netdata extremely cost efficient to run.
Check out the video to see how easy it is to install Netdata from the command line on Linux. Not a Linux user? See the documentation for instructions for Docker, Kubernetes, macOS, and more.
Once you’ve installed Netdata, you’ll have access to thousands of metrics on hundreds of interactive charts that update every second right out of the gate. It’ll even auto-detect and collect metrics your favorite services.
View real-time metrics from your favorite operating systems, servers, containers, hardware, and applications running in a variety of environments, including on-premises, cloud and hybrid, with a continuously expanding selection of collectors, and send automated alarms about anomalous behavior or performance degradation to your favorite notification apps.
See the difference:
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| Monitoring Latency | Up to 15 minutes of data collection to visualization latency, 10, 15 or even 60 seconds metrics granularity. | 1-second latency, 1-second granularity, for all metrics, designed for troubleshooting emerging issues in real-time with high-fidelity data. |
| Monitoring Resources | Usually agents are slow and sluggish, centralization points do not scale well requiring huge resources. | The Netdata Agent needs <2% of the CPU resources on modern hardware and about 150MB of RAM. |
| Setup and Configuration | Usually a lot of moving parts and painfully long preparation process to get everything right, requiring both skills and time. | Just install Netdata and start using it - it also auto-updates, so you can forget about it. |
| Learning Curve | Steep, challenging and sometimes a torture. You have to learn each and every metric, new query languages, know Data Science basics, and be an expert in all matters. | Designed for engineers, to be used immediately after installation. |
| Troubleshooting | Speculate what the problem might be, validate these assumptions, usually requiring help from a monitoring expert or data scientist, and hope you are right. | Ask the software to find the needle in the haystack, by correlating metrics and machine learning anomaly rates, to provide an ordered list of metrics related to any spike or dive. |
| Dashboards | The IKEA effect! If you spend time building something, you are going to love it. | Every single metric is visualized in meaningful, fully automated dashboards. Custom dashboards are supported but not required. |
| Data Privacy | It depends. | Your data stays at your infrastructure – we don’t get it or store it, and can’t share it or sell it. |
| Time to value | Typically weeks. | Potentially just minutes. |
Love using Netdata? Share your experience! Leave a quick review now and help others discover the power of Netdata!
While running application and data migrations, the engineering team needed a frequent sampling of performance data to locate bottlenecks and identify where changes are required. Most monitoring solutions collect samples every 5 minutes to 1 hour - this renders inaccurate outdated statistical graphs, more frequent sampling usually leads to problems managing and querying vast amounts of centrally stored data.
All of this was resolved by using Netdata, with the ability to create rooms and groups of nodes to monitor and retrieve statistics per 1 second. You say it, they play it!
Get familiar with the Netdata Agent’s 100% open codebase, then get stuck into a live issue on Github
More than 1500 monitoring & troubleshooting professionals and hobbyists alike are using it daily. Join the Discord server
