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Netdata
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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:
๐ฅ Collects metrics from 800+ integrations OS metrics, container metrics, VMs, hardware sensors, apps metrics, OpenMetrics exporters, StatsD & logs.
๐ช Real-Time, Low-Latency, High-Resolution All metrics are collected per second & are on the dashboard immediately after data collection. Netdata is fast.
๐ถโ๐ซ๏ธ Unsupervised Anomaly Detection Trains multiple ML models for each metric collected & detects anomalies based on the past behavior of each metric individually.
๐ฅ 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.
๐ 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.
๐ 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.
๐ 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.
โญ Open & Extensible Netdata is a modular platform that can be extended in all possible ways and it also integrates nicely with other monitoring solutions.
Tailwind CSS NetdataI use it in all my current projects. It's easy to start and very customisable. Love it so much! I improved the speed of development 2x times by using Tailwind.
Based on our record, Tailwind CSS seems to be a lot more popular than Netdata. While we know about 1062 links to Tailwind CSS, we've tracked only 6 mentions of Netdata. 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.
UIAble is a free, open-source UI component library built with Tailwind CSS, Shadcn-style architecture, and Base UI principles. The idea is straightforward: reusable components should stay flexible, readable, and easy to maintain. - Source: dev.to / about 2 months ago
eBay: 30+ fields (item specifics, variations, shipping) Each schema is a JSON file defining field names, data types, and validation rules. The mapper walks source โ target assignments and applies type coercion (string โ number, date formatting, etc.) before export. The entire app stays under 200 KB gzipped by avoiding heavy UI libraries. It's built with Preact + htm (no JSX build step) and styled with Tailwind CSS... - Source: dev.to / 3 months ago
In this tutorial, we'll build a real-world admin dashboard component using Tailwind CSS, based on the AdminOS template. You'll learn essential Tailwind concepts while creating something useful. - Source: dev.to / 3 months ago
Packages/ui โ shared component library built with Tailwind v4, consumed directly from source by both Next.js apps. - Source: dev.to / 3 months ago
Tailwind CSS provides us with a token-based design system for CSS that allows us to flexibly design our pages. - Source: dev.to / 3 months ago
If you've ever set up Netdata, you know that feeling โ hundreds of real-time charts, per-second granularity, metrics you didn't even know your kernel exposed. It's a wonderful piece of software, genuinely one of the best open-source monitoring tools out there. - Source: dev.to / 4 months 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 3 years 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 4 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: almost 5 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 โ, automake โ, pkg-config โ Required: json-c โ, libuv โ, lz4 โ, openssl@1.1 โ ==> Caveats To start netdata: brew... Source: almost 5 years ago
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