tilt VS skaffold

Could improve that crappy feedback loop :)

If the language runtimes are compiled you can't do this, but if not, in theory you shouldn't need such a stupidly long core development feedback loop.

I'm a huge fan of https://tilt.dev/ and the possibilities it unlocks for that pre-commit development.

Something like https://tilt.dev/ where you spin up a subset of the service graph in a cloud environment that hot-reloads based on local edits.

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.

It's not a direct competitor, but we use https://tilt.dev/ at my company for local and remote development.

For local testing you use tilt that runs stateful services locally in a kind k8s cluster. That same config can deploy to a remote k8s server to easily share a preview of new features, which is useful for prototyping things that might not necessarily ever be merged.

There are dedicated tools just for that. Apart from skaffold check also tilt.dev, garden.io, devspace.sh, okteto.com

You basically start by downloading kind, then tilt. Then create a kind cluster with the provided configuration in the tilt repo. Then run tilt up and that's it. You'll have a fully functional Kubernetes cluster and project running complete with deployments and services. Nothing too fancy, no RBAC, no network policies etc.. Just the bare minimum to get you up and running.

I recommend also looking into tilt.

Second, and perhaps the best of all is, that I created a tilt repository located here.

But apart from the other "k8s in a box" options (like minikube, k0s, ...) you could also have a look at tilt (https://tilt.dev/), it sounds like this might be a good fit for your use case as well.

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