Python (and C++ and R) project management. Built on the conda dev environment, and is primarily aimed at ML, data science, scientific python.
Comes highly recommended by others.

A simple code-as-infrastructure approach for rust development.

Add a line requesting e.g. a database to your rust project and it automatically does so in the background, supported by the extensive rust type system.

Basically, a little like Vercel for the backend (and with seemingly a nice free tier as well for now?). Does not seem matching for very advanced needs but good for more simple setups.

Pulumi - Infrastructure as Code in any programming language. Build infrastructure intuitively on any cloud using familiar languages 🚀

Basically, bindings and clients to interact with Kubernetes, AWS, GCP, Azure to create infrastructure, containers, serverless functions, etc.

A really nice way of using gitlab ci to build images for multiple arches (especially arm and amd64).

A Docker swarm-based starting point for operating highly-available containerized applications. - swarmstack

Your Cloud in a Binary. Contribute to sdslabs

relly comprehensive introduction to especially the Deploy part of Devops

Application life-cycle management.

Create automated builds, deploys, management with habitat.

1. you write your code.
2. you write a plan.sh including dependencies, build steps and compile steps if necessary.
3. you manually or automatically run habitat builder according to the plan (through github hooks - gitlab possible?)
4. you get a .hart package to upload to habitat
5. you can automatically created containerized applications out of it -> docker etc

Examples of Gitlab workflow here, uses chef for provision