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.
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Based on our record, GKrellM should be more popular than Netdata. It has been mentiond 11 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I always wanted more feedback, so that even in the mechanical disks and lots of fans era my desktop has always shown more data with GKrellM plus some of its plugins, namely multiping to show the status of my NAS and router, and bubblefishymon for a funny but very effective and immediate way to show that system load is growing suspiciously before fans start screaming. http://gkrellm.srcbox.net/ As for servers,... - Source: Hacker News / 5 months ago
Possibly not old enough to be included in that list, but my oldest piece of desktop software I always run on my main machine is GKrellm with BubbleFishyMon as system load monitor. http://gkrellm.srcbox.net/. - Source: Hacker News / 11 months ago
That doesn't always give correct readings depending on the chipset on your MB. There was a driver missing for like IT87 that returned voltage and temps to psensor. I finally gave up trying. gkrellm can monitor cpu, and many other things. You can add what you want. Source: almost 2 years ago
Gkrellm was not really part of GNOME or KDE, but it was one of the best tools and there was recently talk about porting it to modern GTK releases. Source: almost 2 years ago
OP: Another option is GKrellM. It has not been updated in a couple of years, but it still appears in Software Manager. It should work with the current versions of LM. I used it for a while on LM 17.2 because I wanted a desktop system monitor and I was too lazy to mess with Conky - I stopped using it when I moved to LM 18.1 and eliminated eye candy. Http://gkrellm.srcbox.net/. Source: over 2 years ago
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
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
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
$ 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
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
Conky - Latest commit 262a292 on Dec 7, 2017 brndnmtthws Add missing build dep. Conky is a free, light-weight system monitor for X, that displays any kind of information on your desktop.
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