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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.
GitHub
NetdataBased on our record, GitHub seems to be a lot more popular than Netdata. While we know about 2470 links to GitHub, 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.
This is why eval and observability ship as a unit, not as separate purchases. agent-eval scores and gates the output โ the tiers above, drift, hallucination. AgentLens captures the trace of how the agent got there: every model step and tool call, the resolved inputs, the raw outputs, the trajectory. Two things fall out of that:. - Source: dev.to / 9 days ago
The real fragility is in trying to constrain arguments. The docs are explicit that a pattern like Bash(curl http://github.com/ *) fails to do what it looks like it does. It won't match curl -X GET http://github.com/... (option before the URL), curl https://github.com/... (different protocol), curl -L http://bit.ly/xyz (redirects to GitHub), URL=http://github.com && curl $URL (variable), or curl http://github.com... - Source: dev.to / 10 days ago
Fallback chains โ og:title โ twitter:title โ- SSRF protection โ if you fetch user-supplied URLs, you MUST block
localhost, RFC-1918 ranges, and internal hostnames, or your preview endpoint is a proxy into your own infrastructure- Caching โ you do not want to re-fetch a URL on every render
- Rate limiting โ a public...
- Source: dev.to / 12 days ago
$ git pull Remote: Repository not found. Fatal: repository 'https://github.com//.git/' not found. - Source: dev.to / 14 days ago
// ==UserScript== // @name GitHub -> Obsidian Task // @namespace obsidian // @version 1.0 // @match https://github.com/*/*/issues/* // @match https://github.com/*/*/pull/* // @grant GM_setClipboard // ==/UserScript== (function () { 'use strict'; function getTitle() { return document.querySelector("bdi")?.textContent.trim(); } function copyTask() { ... - Source: dev.to / 16 days 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 / 3 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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VS Code - Build and debug modern web and cloud applications, by Microsoft
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