modd VS skaffold

There's also modd[0] which allows for many file watch pattern -> command combos to easily be defined & run simultaneously from a modd.conf file.

[0]https://github.com/cortesi/modd

i was using cortesi/modd for this while using docker. Since I change to Rancher with dockerd i wasn’t able to get live reloading working again, i also tried air but no luck.. out of curiosity did anyone have a similar issue?

Interesting. I've been using https://github.com/cortesi/modd for this for a while but I'll check this project out.

me likes: https://github.com/cortesi/modd A little more flexible for various files

I use a somewhat similar approach for Pirsch [0]. It's build so that I can run it locally, basically as a fully fledged staging environment. Databases run in Docker, everything else is started using modd [1]. This has proven to be a good setup for quick iterations and testing. I can quickly run all tests on my laptop (Go and TypeScript) and even import data from production to see if the statistics are correct for real data. Of course, there are some things that need to be mocked, like automated backups, but so fare it turns out to work really well.

You can find more on our blog [2] if you would like to know more.

[0] https://pirsch.io

[1] https://github.com/cortesi/modd

[2] https://pirsch.io/blog/techstack/

This pair of tools do both front-end and back-end live reloading with a small amount of config: https://github.com/cortesi/modd https://github.com/cortesi/devd

A nice middle ground is using a tool like Google's Skaffold, which provides "Bazel-like" capabilities for composing Docker images and tagging them based on a number of strategies, including file manifests. In my case, I also use build args to explicitly set versions of external dependencies.

While I am in a Typescript environment with this setup at the moment, my personal experience that Skaffold with Docker has a lighter implementation and maintenance overhead than Bazel. (You also get the added benefit of easy deployment and automatic rebuilds.)

I quite liked using Bazel in a small Golang monorepo, but I ran into pain when trying to do things like include third-party pre-compiled binaries in the Docker builds, because of the unusual build rules convention. The advantage of Skaffold is it provides a thin build/tag/deploy/verify layer over Docker and other container types. Might be worth a look!

Kudos to the Google team building it! https://skaffold.dev

To get a similar experience of preevy up, first we’ll need to split the build and deploy using process or alternatively employ tools that orchestrate build-tag-push-update-sync flow like Skaffold/Tilt.

We will be using docker and microk8s from Canonical. For running our software during development, we will be using skaffold which is a great tool developed by Google.

To add more context, if you are developing containers in a local dev environment, the minimum you should have is the Google Cloud SDK and Skaffold. The SDK will allow you to programmatically interact with Googleapis e.g. auth, services, resources. Skaffold will allow you to build and deploy to the cloud similar to working with a local dev environment.

I have used both Skaffold and Devspace. I prefer the latter.

I wonder if it has some overlap with https://skaffold.dev/.

K3d and Skaffold for local development

skaffold.dev - build in k8s - no more asking for the database password. All the plumbing to the backend is just done so it's easier for them to test and demo any branch