cloud-hypervisor VS Zappa

There is no mention of cloud-hypervisor[1] (also in the rust-vmm ecosystem) in the article. It has the memory reclamation feature they require. It also support VFIO and virtiofs.

[1] <https://github.com/cloud-hypervisor/cloud-hypervisor>

https://github.com/tandasat/Hypervisor-101-in-Rust is there to help

https://github.com/cloud-hypervisor/cloud-hypervisor isn't educational necessarily but is one of the most technically progressive fastest developing highest funded vm projects ever, and there are oodles of tech talks on it. I am not qualified to make any specific recommendations, but there's tons of stuff here.

> The goal of the Cloud Hypervisor project differs from the aforementioned projects in that it aims to be a general purpose VMM for Cloud Workloads and not limited to container/serverless or client workloads.

Firecracker is such a great piece of technology. I'm amazed that AWS actually open-sourced it. All kudos to them. We're using Firecracker at our company to allow API companies build interactive demos like this one we built for Prisma [1].

[0] https://github.com/cloud-hypervisor/cloud-hypervisor

[1] https://playground.prisma.io

Relatively new project 'Cloud Hypervisor' https://github.com/cloud-hypervisor/cloud-hypervisor seems to launch images faster.

The Chrome OS hypervisor was then evolved/forked into Firecracker and Intel's Cloud Hypervisor, with the latter supporting both Linux and Windows. Perhaps Cloud Hypervisor would serve as a good backbone for sandboxing, with its Rust implementation and focus on security?

GitHub - cloud-hypervisor/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.

Did you guys think about live migrations? https://github.com/cloud-hypervisor/cloud-hypervisor seems to support it and it shares a good amount of code with firecracker.

Virtink is a Kubernetes add-on for running Cloud Hypervisor virtual machines. By using Cloud Hypervisor as the underlying hypervisor, Virtink enables a lightweight and secure way to run fully virtualized workloads in a canonical Kubernetes cluster.

If people aren't familiar, there's a similar project for Python that's fantastic: https://github.com/zappa/Zappa

Chalice was a consequence, a reaction from AWS to the release of (Zappa Framework)[https://github.com/zappa/Zappa] that provide a very good alternative to migrate very quickly a Django/Flask or any WSGI compliant solution in Python.

Use Zappa https://github.com/zappa/Zappa and host as a Lambda, simple setup and deployment, Lambda only costs when processing requests, no servers to mess around with

One of my favorite options that is probably the most cost-effective is to deploy using a 'severless' model on AWS Lambda using zappa which supports deploying Python webapps to AWS in this way. Zappa also makes it super easy to deploy in just a couple commands! The README includes instructions for everything you might need, including handling sensitive information like your database passwords, running django management commands, setting up DNS, etc.

Deployment works nicely with Docker. I often use AWS AppRunner because it's really easy and just scales. Some people use AWS Lambda with Zappa but I don't recommend it unless you really want to spend less than $15 a month. You will probably need Django Storages to save uploads to an S3 bucket. At some stage you might want to put a CloudFront distribution in front of everything but the configuration of the caching behaviour might be a bit confusing when you do it the first time.

It doesn't have to be an either-or! I have several apps in production that were developed on Django or Flask, and deployed to Lambda using Zappa.

If you need a relational DB, you can use AWS Aurora or RDS and use cloud functions ('lambda' in AWS) that you can invoke with HTTP to process the document first. Zappa will do a lot of the configuration for you if you go that route.

Lambda + API gateway, this library bundles a Django application into a lambda https://github.com/zappa/Zappa . 1 million free invokes from aws, scale to zero, plugs into your RDS

I use Zappa, it just schedules a frequent execution of the lambda: https://github.com/zappa/Zappa#keeping-the-server-warm