engine VS RedisLess

Qovery: Qovery simplifies the deployment process for Kubernetes by letting you declare your project's structure and dependencies, making it an excellent choice for startups looking to focus on development without worrying about infrastructure.

Enter Qovery - an Internal Developer Platform that can be installed on any Kubernetes cluster to bring a delightful and simplified developer experience. But don't take my word for granted. In this quick step-by-step article, I will show you how to deploy one of my GitHub apps and a Postgres database on my Kubernetes cluster running on GCP. And what's really really cool is that I don't even need to understand how Kubernetes work!

Qovery is a comprehensive PaaS tool that offers a range of features to simplify the deployment and management of applications. With Qovery, you can easily deploy your applications in various cloud environments, eliminating the complexities of infrastructure setup. Its intuitive and developer-friendly interface, Git integration, and automatic scaling capabilities make it a powerful choice for building a custom PaaS. Qovery's seamless integration with popular frameworks and databases further enhances its appeal.

Qovery https://www.qovery.com

I have one of my customers who want to use Qovery to deploy their apps on AWS China. Technically speaking, Qovery runs on Kubernetes and on all the usual AWS regions. But AWS China (Beijing) is a bit different (cf here)

Combining GitLab (CI) with Qovery (CD) sounds what you need.

I am eager to get your feedback on Qovery - an open-source CD platform that helps thousands of developers and DevOps to build and scale on AWS.

Qovery - an open-source platform that makes AWS easier and there is a Terraform provider available

RedisLess is an experiment to provide a fast, lightweight, embedded, and scalable in-memory Key/Value store library compatible with the Redis API. This project aims to check the feasibility of the principle listed above, and in a few days of works we succeed to have:

I hope you liked this article, and it gives you the appetite to try out Rust. If you have no idea how to start learning it, I would recommend reading the official free ebook. Then, trying to reimplement some good old academic (or not) algorithms and data structures in Rust. If you want to put your hands into dirty stuff, I can recommend contributing to my project Qovery Engine and RedisLess as well.

Data is not persisted yet - everything lives in memory and synced to different instances via Raft (not implemented yet). So it will be a volatile K/V store at the moment. In the future, it will be possible to plug another [storage](https://github.com/Qovery/RedisLess/tree/main/redisless/storage/src) to support persistence.