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Netdata

Monitor your servers, containers, and applications, in high-resolution and in real-time.

Netdata collects metrics per second & presents them in low-latency dashboards. It is designed to run on all physical & virtual servers, cloud deployments, Kubernetes clusters, and edge/IoT devices, to monitor your systems, containers & applications.

Scales nicely from a single server to thousands of servers, even in complex multi/mixed/hybrid cloud environments & given enough disk space it can keep your metrics for years.

KEY FEATURES:

💥 Collects metrics from 800+ integrations OS metrics, container metrics, VMs, hardware sensors, apps metrics, OpenMetrics exporters, StatsD & logs.

💪 Real-Time, Low-Latency, High-Resolution All metrics are collected per second & are on the dashboard immediately after data collection. Netdata is fast.

😶‍🌫️ Unsupervised Anomaly Detection Trains multiple ML models for each metric collected & detects anomalies based on the past behavior of each metric individually.

🔥 Powerful Visualization Clear & precise visualization that allows you to quickly understand any dataset, but also to filter, slice & dice the data directly on the dashboard, without the need to learn any query language.

🔔 Out of box Alerts Hundreds of alerts out of the box to detect common issues & pitfalls, revealing issues that can easily go unnoticed. It supports several notification methods to let you know when your attention is needed.

📖 systemd Journal Logs Explorer (BETA - nightly release channel) Provides a systemd journal logs explorer, to view, filter & analyze system & apps logs by directly accessing systemd journal files on individual hosts & infrastructure-wide logs centralization servers.

😎 Low Maintenance Fully automated in every aspect: automated dashboards, out-of-the-box alerts, auto-detection & discovery of metrics, zero-touch ML, easy scalability, high availability &CI/CD friendly.

⭐ Open & Extensible Netdata is a modular platform that can be extended in all possible ways and it also integrates nicely with other monitoring solutions.

Pricing:
  • Open Source
  • Freemium
  • Free Trial
  • $3.0 / Monthly (Netdata Pro, $3 /Node /mo - Netdata Business, $4 /Node /mo )
Platforms:
  • Linux
  • Docker
  • AWS
  • Azure
  • Mac OSX
  • Cloud
  • Windows
  • Edge
  • NGINX
  • Oracle
Visit website Status Page
Verify Netdata Edit
#Monitoring Tools #Performance Monitoring #Incident Management #Uptime Monitoring #Infrastructure Monitoring #Cloud Monitoring #Developer Tools #DevOps Tools

Netdata Reviews and details

Screenshots and images

  • Netdata Landing page
    Landing page //
    2022-02-16

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Videos

Install Netdata on Linux in two minutes

Netdata's standard dashboard

Social recommendations and mentions

We have tracked the following product recommendations or mentions on various public social media platforms and blogs. They can help you see what people think about Netdata and what they use it for.
  • Trying to decide best practices for production environment
    Pros are instant HA and Migration. Cons are huge bandwidth hits. With your 4x1gbe you would be maxed out on replicating those 25 VMs. You wouldn't have anything for users. I have a test lab with 4 nodes, 22cpu 100gbram and 30tb space, using low end stuff, 12hdds. Proxmox, ceph dashboard, (the native ceph dashboard you can turn on), and a netdata.cloud account. So I watch it like a hawk and like to load test. Source: over 1 year ago
  • Ask HN: Reducing the maintenance surface area of hosting a small internal app
    Docker-compose, not k8s. Set up a script to update the OS, pull all your containers and reboot after hours once a week or once a day. Make sure the script specifies non interactive. Set up alerting for low disk space, see https://netdata.cloud or use your own tool. - Source: Hacker News / over 2 years ago
  • What’s your preferred stack?
    There can be some issues if you mix and match elastic versions, wazuh versions, logstash versions. But the documentation guides you very well with matrix of what is and is not compatible. You will want a beefy VM to run it in, I started smaller than I should of, and after running a while it kind of puked on itself, certain things would randomly stop working. After giving it 32GB RAM, plenty of disk 4TB, and 8... Source: over 2 years ago
  • Netdata on MacOS
    $ brew info netdata Netdata: stable 1.29.3 (bottled) Diagnose infrastructure problems with metrics, visualizations & alarms Https://netdata.cloud/ Not installed From: https://github.com/Homebrew/homebrew-core/blob/HEAD/Formula/netdata.rb License: GPL-3.0-or-later ==> Dependencies Build: autoconf ✘, automake ✘, pkg-config ✔ Required: json-c ✘, libuv ✘, lz4 ✘, openssl@1.1 ✔ ==> Caveats To start netdata: brew... Source: over 2 years ago
  • Netdata cloud and data control
    What I know is that each node's data is still primarily stored on the node itself, and I've figured that the Registry used by Netdata cloud stores only URLs and randomly generated UUIDs. So my question is, will any other data be stored outside of my nodes? Does Netdata Cloud have access to my servers 24/7 or only when I got a browser tab with Netdata cloud open? Is there more information on security and data... Source: about 3 years ago

External sources with reviews and comparisons of Netdata

The Best Cacti Monitoring Alternatives
Netdata gives you access to sublime real-time health and performance monitoring for all your systems. The Netdata GitHub community has made its growth abundantly clear throughout its last six years of active development.
Source: www.webservertalk.com
10 Best Open Source Monitoring Software for IT Infrastructure
Netdata provides unparalleled real-time health monitoring and performance troubleshooting for systems and applications. Over the past six years of development, Netdata’s GitHub community has been essential to its growth.
Source: geekflare.com
4 Best Open Source Dashboard Monitoring Tools In 2019
“Pull” method : you can set Netdata to run on individual nodes and plug your dashboards directly to it. This way, you can scale your node to your needs and you are not concerned about the scaling of different nodes. Also, storage is scoped to what’s really needed by a particular node thus more efficient;
Source: devconnected.com

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