bottlerocket
rust
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bottlerocket | rust | |
---|---|---|
40 | 9 | |
8,141 | 4,984 | |
1.4% | 2.2% | |
9.8 | 5.2 | |
about 3 hours ago | 5 months ago | |
Rust | Rust | |
GNU General Public License v3.0 or later | 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.
bottlerocket
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Exploring cgroups v2 and MemoryQoS With EKS and Bottlerocket
According to this discussion - starting with Bottlerocket 1.13.0 (Mar 2023) new distributions will default to using Cgroups v2 interface for process organization and enforcing resource limits.
- Boletín AWS Open Source, Christmas Edition
- Bottlerocket OS
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Bottlerocket – Minimal, immutable Linux OS with verified boot
Well, the link I provided references the Bottlerocket docs which explains the control container and the admin container and also how you can configure Bottlerocket via the User Data field when launching it as an AMI. All the information appears to be in the docs
https://github.com/bottlerocket-os/bottlerocket/blob/develop...
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Introduction to Immutable Linux Systems
On the server-side, there's Bottlerocket OS [1] (Amazon). They use A/B partitions for upgrades, and the idea is that you just run containers for anything non-base. Boot containers are used to do custom configuration at boot, and host-container (or DaemonSet, if you run K8S) is used for long-running services.
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RedHat try to kill Centos, Rocky, Alma, Oracle Linux
Bottlerocket OS.
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Wolfi: A community Linux OS designed for the container and cloud-native era
To add to the other excellent answers, I would recommend adding Bottlerocket to your reading list: https://github.com/bottlerocket-os/bottlerocket#readme
I'm also aware of (but haven't used) https://github.com/siderolabs/talos#readme
I just realized your question may have implied a desktop os, whereas Bottlerocket, Flatcar, and likely the others in this specific thread are server-side. I don't have much experience with trying to solve that problem on the desktop except for the horror-show that is snap
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Compile Linux Kernel 6.x on AL2? 😎
https://github.com/bottlerocket-os/bottlerocket/issues/2855 soon for bottlerocket, maybe you’ll see Amazon Linux 2023 for eks nodes soon too?
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Twitter open sources Navi: High-Performance Machine Learning Serving Server in Rust
I think open sourcing for free labor is a common misconception. Most corporate led open source projects (eg, https://github.com/bottlerocket-os/bottlerocket from AWS or https://github.com/facebook/relay from Facebook) still require a team of employees.
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OS choices for cluster
Bottlerocket might be worth a look. https://github.com/bottlerocket-os/bottlerocket
rust
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Have you ever wanted a library to check for 69 in a string?
You can use Tensorflow for Rust to simplify that task and avoid pain with regex. Just have the right mindset.
- Rust vs cpp for a new engineer to autonomous vehicles and robotics
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Making a better Tensorflow thanks to strong typing
What is the benefit of this compared to using bindings/a wrapper to Tensorflow, or other ML libraries written in C/C++, such as this community hosted project on tensorflow's github. If it's just for fun that is a valid enough reason imo, just curious since you describe it as a better Tensorflow because of the typing vs using the python wrapper, when there already exist ways to interact with tensorflow with both Rust and other statically typed languages, also including C++ (officially supported), C#, Haskell and Scala, as well as probably having bindings not mentioned on the documentation for more niche languages.
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Integrating machine learning models into Rust applications?
(3) You could use TensorFlow as your executor: https://github.com/tensorflow/rust
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Why Static Languages Suffer From Complexity
TensorFlow has language support for TypeScript well as Rust.
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Is PyO3 library production ready?
Thank you for the restponse! With tensorflow I am probably better of with something like; [tensorflow rust bindings](https://github.com/tensorflow/rust/tree/master/src). But I believe some useful extensions are still written in python for example; [TFDV](https://github.com/tensorflow/data-validation).. and how about scikit-learn or even something that is simpler like fb-prophet that is entirely written in python?
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How mature is the QT integration?
Tensorflow bindings exist, technically, but they're in a pretty rough state AFAIK.
- Feasibility of Using a Python Image Super Resolution Library in My Rust App
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Rusticles #10 - Wed Sep 09 2020
tensorflow/rust (Rust): Rust language bindings for TensorFlow
What are some alternatives?
firecracker - Secure and fast microVMs for serverless computing.
zig - General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.
Flatcar - Flatcar project repository for issue tracking, project documentation, etc.
leaf - Open Machine Intelligence Framework for Hackers. (GPU/CPU)
nerdctl - contaiNERD CTL - Docker-compatible CLI for containerd, with support for Compose, Rootless, eStargz, OCIcrypt, IPFS, ...
anyhow - Flexible concrete Error type built on std::error::Error
lima - Linux virtual machines, with a focus on running containers
Rustup - The Rust toolchain installer
amazon-ecs-agent - Amazon Elastic Container Service Agent
rusty-machine - Machine Learning library for Rust
flatcar-linux-update-operator - A Kubernetes operator to manage updates of Flatcar Container Linux
solana - Web-Scale Blockchain for fast, secure, scalable, decentralized apps and marketplaces.