Netdata
Zabbix
Datadog
Nagios
Grafana
Prometheus
NewRelic
Kibana
socketify.py
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.
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Based on our record, Netdata should be more popular than socketify.py. It has been mentiond 6 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.
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
These "benchmarks" are useless, they're not testing anything real world except the performance of uWebsockets. There are copy errors all over the place. And then an advertisement: https://github.com/cirospaciari/socketify.py#briefcase-comme... Is this a professional framework that produces proper, real-world benchmarks and... - Source: Hacker News / over 3 years ago
After starting the project called socketify.py at https://github.com/cirospaciari/socketify.py, I got pretty good results and reviews, but many people asked if socketify.py could be used to create a WSGI and ASGI server. WSGI and ASGI have a lot of overhead, that's is why I choose not to use them in the first place, but adding an ASGI and WSGI server allows a lot of code already written to run faster! Source: over 3 years ago
Zabbix - Track, record, alert and visualize performance and availability of IT resources
Datadog - See metrics from all of your apps, tools & services in one place with Datadog's cloud monitoring as a service solution. Try it for free.
Nagios - Complete monitoring and alerting for servers, switches, applications, and services
Grafana - Data visualization & Monitoring with support for Graphite, InfluxDB, Prometheus, Elasticsearch and many more databases
Prometheus - An open-source systems monitoring and alerting toolkit.
NewRelic - New Relic is a Software Analytics company that makes sense of billions of metrics across millions of apps. We help the people who build modern software understand the stories their data is trying to tell them.
