community
taichi
community | taichi | |
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9 | 36 | |
64 | 24,779 | |
- | 0.5% | |
7.2 | 9.1 | |
14 days ago | 8 days ago | |
Jupyter Notebook | C++ | |
MIT License | Apache License 2.0 |
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.
taichi
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This Week In Python
taichi – Productive, portable, and performant GPU programming in Python
- Taichi: Accessible GPU programming, embedded in Python
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The GIL can now be disabled in Python's main branch
ETH Zurich is using it for their physics sim courses, University of Utah is using it for simulations (SIGGRAPH 2022), OPPO (they make smart devices running Android), Kuaishou uses it for liquid and gas simulation on GPUs. Lots of GPU accelerated sim stuff.
https://www.taichi-lang.org/
https://www.researchgate.net/publication/337118128_Taichi_a_...
https://github.com/taichi-dev/taichi
- Julia and Mojo (Modular) Mandelbrot Benchmark
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Taichi v1.5.0 Released! See what's new👇
Check our the realease note (https://github.com/taichi-dev/taichi/releases) for more improvements.
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You Don't Know Jax
I've recently started using Taichi (https://taichi-lang.org/) for numerical codes and the fact it doesn't try to trick you into thinking it's numpy is a nice "feature". ;)
- How can I get into this type of animation with programming?
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Taichi v1.4.0 released!
Taichi v1.4.0 is released! See what's new: - Taichi AOT, along with a native Taichi Runtime library: Native applications can now load compiled AOT modules and launch Taichi kernels without a Python interpreter. - Taichi ndarray: An array object that holds contiguous multi-dimensional data to allow easy data exchange with external libraries. - Dynamic index: Use variable indices whenever necessary on all backends without affecting the performance of those matrices with only constant indices. See deprecation and more improvements in the release note.
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Is Nvidia CUDA Used in VFX Software Tools?
Oh, then if you're not already tied to any particular VFX software, I might as well recommend Taichi again.
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Marching squares algorithm implemented with Taichi: Struct Taichi fields and dynamic SNodes are used to represent line segments, and linear interpolation applied to smoothen the boundaries.
It's an upgrade of a basic version. See changes to the source code here: https://github.com/taichi-dev/taichi/pull/6851
What are some alternatives?
snmp_exporter - SNMP Exporter for Prometheus
Halide - a language for fast, portable data-parallel computation
Statsd - Daemon for easy but powerful stats aggregation
dolfinx - Next generation FEniCS problem solving environment
tetris-os - An operating system, but it only plays Tetris. [UnavailableForLegalReasons - Repository access blocked]
Data-Science-For-Beginners - 10 Weeks, 20 Lessons, Data Science for All!
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:
difftaichi - 10 differentiable physical simulators built with Taichi differentiable programming (DiffTaichi, ICLR 2020)
open-im-server - IM Chat
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]
copilot.vim - Neovim plugin for GitHub Copilot