tilt-extensions VS garden

The first is the load function which loads Tilt extensions. It's a way to expand the tool's features, and several are available. Here we are using docker_build_with_restart, which will update the container running inside our Kubernetes cluster.

This is the central viewport into manual resource control and environment enhancement through the open-source extensions for Tilt.

argocd for cd Tilt

Recently, I found Tilt [0] to be a good partner of mine to run "all services locally". It can be compared to "webpack (live-reloading, a lot of configuration possibilities) for backend". You want to run a bunch of services directly? Use local_resource()/local(). You have Procfile? There is procfile() function. You have docker-compose.yml with databases? You can run it too with docker_compose(). You want have Tiltfile and include them all-together? There is load(). You need some web-ui for frontend devs and a nice log browser? It is there too. You need to do some extra steps before running a service? You want to update your local cluster with newly built image on file save? No problem, tilt will do that with k8s_yaml() function. Tilt uses Titlfiles for configuration, which are written Pythonish Starlark language and you use them to run any specific logic there.

Also, I am not very lucky in having resemble 1:1 k8s cluster locally. You could be close but as long as you don't run already in cloud you will have different configuration (additional annotations, various quirks that do not exist in kind/k3s but they are on GCP). However, making dedicated dev environments in the cloud might be very costly and incur a lot of additional tinkering.

[0]: https://tilt.dev/

If `host` means your production/staging hosts or whatever, you should get out of that habit now. Look into something like tilt.dev or telepresence.io or any number of other solutions that help solve this issue. Doing it directly on any host is just a recipe for bad habits and disaster.

The article doesn't mention k3d (https://k3d.io/) which is a variant of k3s that runs in docker (rather than a VM) - very nice for k8s dev/test on developer workstations.

It integrates very nicely with https://tilt.dev/ also (another very useful tool for k8s related dev/test).

If this is an issue during development then you can use something like tilt with docker-compose to directly copy modified source inside container and incrementally build it. https://tilt.dev/

I'd add Tilt

Tilt

Along similar lines, how about comparing Devspace to [Tilt](https://tilt.dev/)?

Hey there! Have you tried garden.io for caching? We also cache tests. Pretty much anything that's possible to cache. We're open source at https://github.com/garden-io/garden

To add to what's already been said: If you think about it, CI pipelines are typically a complete description of how your system is built, tested, and deployed.

Which is pretty fantastic except for how walled off they are. You can't really re-use these descriptions for e.g. development, they're not vendor agnostic, and they only way to run them is by pushing your code.

Maybe it's a silly analogy but it's almost like being a web dev that doesn't have a browser and needs to send their code to a friend who can tell them if that font size looks good.

I think we're way over due for freeing these "blueprints" of our system from the confines of CI and making them portable and flexible. And containers are the technology that's enabling that.

Full disclaimer (as always): I work at Garden[0] where we're also solving that problem but taking a slightly different approach to Dagger (it's still a DAG). Garden config is declarative and the jobs (we call them actions) have a semantic meaning. You can e.g. have a Build action of type container or a Deploy action of type Helm and Garden will figure out what to do with it.

[0] https://github.com/garden-io/garden

Yes, there's us over at https://github.com/garden-io/garden! We're big believers in pipelines that run anywhere. I even made a short little video that should give you the gist. [1]

Some of the short-list of differences: we use YAML for our configuration language, Dagger can use full-fat languages to define its pipelines. Our feature scope is broader: you can use us to vend IDP-like stacks to your developers if you're a Platform Team; we make development with remote Kubernetes clusters very easy, including all the remote image builds; and we have a number of integrations so you can bring your IaC tool of choice (Pulumi, Terraform) into your pipeline and set up service -> infra dependencies.

[1] https://www.youtube.com/watch?v=JFnan6s2cDg

Me too. In fact Garden (dev tooling for the Kubernetes)[0] is a Berlin start-up with three Icelandic founders.

And if I'm not mistaken, two of us worked briefly with @halldorel (above commenter) at an earlier Icelandic start-up. It's a small world (if you're Icelandic).

[0] https://garden.io

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

Would appreciate any insights on garden.io. Thanks.

Telepresence, tilt, garden.io, okteto, skaffold etc.

- https://garden.io/

haha, do my pictures give off a strong not-web-dev vibe? Either way your right, I'm focusing on devxp and automation for kubernetes. Because my work is open source you can see it here https://github.com/garden-io/garden (btw we're also hiring another open core dev like me)