projen
firecracker
projen | firecracker | |
---|---|---|
19 | 75 | |
2,472 | 24,084 | |
1.8% | 1.0% | |
9.7 | 9.9 | |
6 days ago | 6 days ago | |
TypeScript | Rust | |
Apache License 2.0 | 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.
projen
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Building a smart home sensor application with AWS AppSync and AWS Amplify components
This project uses AWS CDK as infrastructure as code solution. To maintain project configuration files efficiently, the project structure is generated using projen:
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Project templating cloud
I recommend visiting the github page for projen and flicking through the documentation as I won't do it justice. Projen aims to:
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My Infrastructure as Code Rosetta Stone - Deploying the same web application on AWS ECS Fargate with CDK, Terraform and Pulumi
cdk-django uses projen for maintaining the changelog and bumping versions and publishing to npm. It is popular among developers in the CDK community and is a really awesome tool since it basically uses one file (.projenrc.ts) to configure your entire repo, including files like tsconfig.json, package.json, and even GitHub Action workflows. It has a lot of configuration options, but I'm using it in a pretty simple way. It generates a new release and items to the changelog when I manually trigger a GitHub Action.
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How to create an AWS Organization for your Account with the AWS CDK
I will give you step-by-step instructions to create your very first AWS Organization with the AWS CDK and the help of projen and cdk-organizations. You only need already an AWS Account created which is not a member or management account of another AWS Organization.
- Using PNPM instead of NPM for CDK
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What are some cons of using CDK to create a small part of the platform that is currently deployed by Terraform?
If you go down that route you should use Projen to maintain the dependencies.
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Newsletter martinmueller.dev 2022 week 19
An Open Source CDK Community project which I find super interesting. It is doing cherry-picking from AWS Amplify UI and AWS CDK for deployment. I do that in my private projects as well for example https://github.com/senjuns/senjuns. I think the author could enhance/simplify its repo even more by using https://github.com/projen/projen for the project setup.
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AWS's Open Source Problem - by Corey Quinn
That said - https://github.com/firecracker-microvm/firecracker and https://github.com/bottlerocket-os/bottlerocket are interesting, and while AWS CDK is very AWS specific, the underlying jsii https://github.com/aws/jsii and projen https://github.com/projen/projen/issues are fundamental services.
- Why I Would Love You To Speak At CDK Day
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How to Create Awesome Repeatable Project Setups for AWS CDK
The documentation for the classes of the bundled project types is at https://github.com/projen/projen/. In this documentation, you can see that the property github includes a mergify entry, which will define if the Mergify configuration is used. The default if the github entry is not specified, is that it will be included. So in our test, we can check that this configuration is not in place, after creating a project with the mandatory parameters.
firecracker
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Lambda Internals: Why AWS Lambda Will Not Help With Machine Learning
This architecture leverages microVMs for rapid scaling and high-density workloads. But does it work for GPU? The answer is no. You can look at the old 2019 GitHub issue and the comments to it to get the bigger picture of why it is so.
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Show HN: Add AI code interpreter to any LLM via SDK
Hi, I'm the CEO of the company that built this SDK.
We're a company called E2B [0]. We're building and open-source [1] secure environments for running untrusted AI-generated code and AI agents. We call these environments sandboxes and they are built on top of micro VM called Firecracker [2].
You can think of us as giving small cloud computers to LLMs.
We recently created a dedicated SDK for building custom code interpreters in Python or JS/TS. We saw this need after a lot of our users have been adding code execution capabilities to their AI apps with our core SDK [3]. These use cases were often centered around AI data analysis so code interpreter-like behavior made sense
The way our code interpret SDK works is by spawning an E2B sandbox with Jupyter Server. We then communicate with this Jupyter server through Jupyter Kernel messaging protocol [4].
We don't do any wrapping around LLM, any prompting, or any agent-like framework. We leave all of that on users. We're really just a boring code execution layer that sats at the bottom that we're building specifically for the future software that will be building another software. We work with any LLM. Here's how we added code interpreter to Claude [5].
Our long-term plan is to build an automated AWS for AI apps and agents.
Happy to answer any questions and hear feedback!
[0] https://e2b.dev/
[1] https://github.com/e2b-dev
[2] https://github.com/firecracker-microvm/firecracker
[3] https://e2b.dev/docs
[4] https://jupyter-client.readthedocs.io/en/latest/messaging.ht...
[5] https://github.com/e2b-dev/e2b-cookbook/blob/main/examples/c...
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Fly.it Has GPUs Now
As far as I know, Fly uses Firecracker for their VMs. I've been following Firecracker for a while now (even using it in a project), and they don't support GPUs out of the box (and have no plan to support it [1]).
I'm curious to know how Fly figured their own GPU support with Firecracker. In the past they had some very detailed technical posts on how they achieved certain things, so I'm hoping we'll see one on their GPU support in the future!
[1]: https://github.com/firecracker-microvm/firecracker/issues/11...
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MotorOS: a Rust-first operating system for x64 VMs
I pass through a GPU and USB hub to a VM running on a machine in the garage. An optical video cable and network compatible USB extender brings the interface to a different room making it my primary “desktop” computer (and an outdated laptop as a backup device). Doesn’t get more silent and cool than this. Another VM on the garage machine gets a bunch of hard drives passed through to it.
That said, hardware passthrough/VFIO is likely out of the current realistic scope for this project. VM boot times can be optimized if you never look for hardware to initialize in the first place. Though they are still likely initializing a network interface of some sort.
“MicroVM” seems to be a term used when as much as possible is stripped from a VM, such as with https://github.com/firecracker-microvm/firecracker
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Virtual Machine as a Core Android Primitive
According to their own FAQ it is indeed: https://github.com/firecracker-microvm/firecracker/blob/main...
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Sandboxing a .NET Script
What about microVMs like firecracker?
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We Replaced Firecracker with QEMU
Dynamic memory management - Firecracker's RAM footprint starts low, but once a workload inside allocates RAM, Firecracker will never return it to the host system. After running several workloads inside, you end up with an idling VM that consumes 32 GB of RAM on the host, even though it doesn't need any of it.
Firecracker has a balloon device you can inflate (ie: acquire as much memory inside the VM as possible) and then deflate... returning the memory to the host.
https://github.com/firecracker-microvm/firecracker/blob/main...
- I'm looking for a virtual machine that prioritizes privacy and does not include tracking or telemetry.
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Neverflow: Set of C macros that guard against buffer overflows
Very few things in those companies are being written in Rust, and half of those projects chose Rust around ideological reasons rather than technical, with plenty of 'unsafe' thrown in for performance reasons
https://github.com/firecracker-microvm/firecracker/search?q=...
The fact that 'unsafe' even exists in Rust means it's no better than C with some macros.
Don't get me wrong, Rust has it's place, like all the other languages that came about for various reasons, but it's not going to gain wide adoption.
Future of programming consists of 2 languages - something like C that has a small instruction set for adopting to new hardware, and something that is very high level, higher than Python with LLM in the background. Everything in the middle is fodder.
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Do you use Rust in your professional career?
https://github.com/firecracker-microvm/firecracker is the one that comes to mind, but most of these are internal.
What are some alternatives?
jest - Delightful JavaScript Testing.
cloud-hypervisor - A Virtual Machine Monitor for modern Cloud workloads. Features include CPU, memory and device hotplug, support for running Windows and Linux guests, device offload with vhost-user and a minimal compact footprint. Written in Rust with a strong focus on security.
middy - 🛵 The stylish Node.js middleware engine for AWS Lambda 🛵
bottlerocket - An operating system designed for hosting containers
CDK-SPA-Deploy - This is an AWS CDK Construct to make deploying a single page website (Angular/React/Vue) to AWS S3 behind SSL/Cloudfront easier
gvisor - Application Kernel for Containers
esbuild-hot-reload - Playground repo for experimenting with esbuild + hot reload
libkrun - A dynamic library providing Virtualization-based process isolation capabilities
jsii - jsii allows code in any language to naturally interact with JavaScript classes. It is the technology that enables the AWS Cloud Development Kit to deliver polyglot libraries from a single codebase!
krunvm - Create microVMs from OCI images
awesome-projen - P6M7G8's Awesome Projen
deno - A modern runtime for JavaScript and TypeScript.