community
Statsd
community | Statsd | |
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9 | 7 | |
69 | 17,724 | |
- | 0.2% | |
7.6 | 5.1 | |
5 months ago | about 1 year ago | |
Jupyter Notebook | JavaScript | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
community
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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.
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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
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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 vcpu, it now runs like a top. of course you will need to run, test and tune all the config files for Ossec, Wazuh, Logstash etc. The big one being JVM heap memory settings, larger these can be, the better performance. Also if you can, run it on SSD disk, helps alot being there is lots of I/O, log ingestion, processing etc. One free Linux monitoring platform I use, which I highly recommend for all Linux servers is netdata.cloud. Awesome, awesome, awesome! It actually helps tune and get real time health of the Wazuh server, and can point out pain points with hardware being undersized for example, too much swap utilization, disk I/O etc. Regardless, check that out regardless.
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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 ✘, [email protected] ✔ ==> Caveats To start netdata: brew services start netdata Or, if you don't want/need a background service you can just run: /usr/local/opt/netdata/sbin/netdata -D
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Monitoring Software 2021
Try netdata.cloud
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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 collection (besides GDPR and personal data collection) available on your site, netdata.cloud?
- Top 10 Trending GitHub Repositories
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Introduction to StatsD
StatsD in Netdata
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Ansible Is Stressing Me Out More Than Doing
hey, sorry about taking so long to reply, and thanks for opening an issue on Gitlab. I just released v1.0.0 of https://xsrv.readthedocs.io/en/latest/ and will try to send a PR to https://github.com/netdata/community/tree/main/netdata-agent-deployment explaining how to bootsrap netdata from the ansible monitoring role in the coming weeks.
Statsd
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Protecting Applications with Kong security plugins and using StatsD to monitor system states — A healthy camera story
statsd / statsd @ GitHub
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Building Cages - Creating better DX for deploying Dockerfiles to AWS Nitro Enclaves
statsD for metrics
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Elixir metrics and StatsD
StatsD is a network daemon that listens for statistics, like counters and timers, sent over UDP or TCP and sends aggregates to one or more pluggable backend services.
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How to track profile page views per day, weekly, monthly and amount of times file was downloaded per product per day / week / month? - Without adding 1000+ database entries?
If you are essentially tracking an incremental number, statsd was made specifically for this task. It's lightning fast and you can setup different metrics for each scenario you mentioned.
- Help with getting started with Metrics, Logging and tracing
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Practical OCaml
It reads only 8 KB of data by default; this should be enough for StatsD metrics lines based on the StatsD documentation. Also, that's what Alan Ning's Rust implementation does.
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Introduction to StatsD
StatsD GitHub repository Scaling StatsD in DoorDash Netdata StatsD reference documentation
What are some alternatives?
difftaichi - 10 differentiable physical simulators built with Taichi differentiable programming (DiffTaichi, ICLR 2020)
Collectd - The system statistics collection daemon. Please send Pull Requests here!
Awesome-Linux-Software - A list of awesome applications, software, tools and other materials for Linux distros. [Moved to: https://github.com/luong-komorebi/Awesome-Linux-Software]
Diamond - Diamond is a python daemon that collects system metrics and publishes them to Graphite (and others). It is capable of collecting cpu, memory, network, i/o, load and disk metrics. Additionally, it features an API for implementing custom collectors for gathering metrics from almost any source.
snmp_exporter - SNMP Exporter for Prometheus
tcollector - Data collection framework for OpenTSDB
cwa-app-android - Native Android app using the Apple/Google exposure notification API. The CWA development ends on May 31, 2023. You still can warn other users until April 30, 2023. More information:
prometheus - The Prometheus monitoring system and time series database.
tetris-os - An operating system, but it only plays Tetris. [UnavailableForLegalReasons - Repository access blocked]
RRDtool - RRDtool 1.x - Round Robin Database
acid-banger - The Endless Acid Banger
Graphite - A highly scalable real-time graphing system