tilt
devpod
tilt | devpod | |
---|---|---|
49 | 27 | |
7,291 | 7,693 | |
0.7% | 4.9% | |
8.8 | 9.7 | |
3 days ago | 4 days ago | |
Go | Go | |
Apache License 2.0 | Mozilla Public License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
tilt
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Ask HN: What to do with small units of time during the working day?
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.
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Uber Migrates 4000 Microservices to a New Multi-Cloud Platform
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.
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Simplifying preview environments for everyone
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.
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Codespaces but open-source, client-only, and unopinionated
It's not a direct competitor, but we use https://tilt.dev/ at my company for local and remote development.
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Why I recommended ECS instead of Kubernetes to my latest customer
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.
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Local development set up for microservices with Kubernetes - Skaffold
There are dedicated tools just for that. Apart from skaffold check also tilt.dev, garden.io, devspace.sh, okteto.com
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First K8s project
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.
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Devcontainers in k8s
I recommend also looking into tilt.
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KubeProject: A distributed multi-service project on Kubernetes as a playground for beginners
Second, and perhaps the best of all is, that I created a tilt repository located here.
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Throwaway preconfigured local kubernetes environments
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.
devpod
- Show HN: Lapdev, a new open-source remote dev environment management software
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A Journey to Find an Ultimate Development Environment
When you push your code to Github, you can develop the app using codespace and it will automatically set up an online development environment for you. Other tools will make your life easier when developing using a dev container e.g. DevPod.
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Supercharge your remote development environment with DevPod
DevPod is that new kid in town that works on the same standard of devcontainers.json that Codespaces uses but is on the infrastructure of your choice and is open source. The project was just launched this May and has gathered more than 5.3K stars in this period. The advantage is the lower costs (around 5-10 times cheaper than cloud VMs) with auto-shutdown.
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ChromeOS is Linux with Google’s desktop environment
For students, unless there are allocated server resources with network access, it SHOULD/MUST scale down to one local offline ARM64 node (because school districts haven't afforded containers on a managed k8s cloud for students at scale fwiu, though universities do with e.g. JupyterHub and BinderHub [4] and Colab).
For Chromebook sysadmins, Instructors, and Students learning about how {Linux*, ChromiumOS, Android, Git, Bash, ZSH, Python, and e.g. PyData Tools supported by NumFOCUS} are developed, for example;
When you git commit to a git branch, and then `git push` that branch to GitHub, and create a Pull Request, GitHub Actions runs the (container,command) tasks defined in the YAML files in the .github/workflows/ directory of the repo; so `git push` to a PR branch runs the CI job and the results are written back as cards in the Pull Request thread on the GitHub Project; saving to the server runs the (container,command) Actions with that revision of the git repo.
Somewhat-equivalent GitOps CI Continuous Integration workflows (without Bazel or Blaze or gtest or gn, or GitHub Enterprise or GitHub Free due to the kids' intererests) that might be supported at least in analogue by Education and Chromebooks: k8s with podman-desktop in a VM, Gitea Actions (nektos/act; like Github Actions), devpod
devpod: https://github.com/loft-sh/devpod :
> Codespaces but open-source, client-only and unopinionated: Works with any IDE and lets you use any cloud, kubernetes or just localhost docker. (with devcontainer.json, like Github Codespaces)
devcontainer.json is supported by a number of tools; e.g. VScode, IntelliJ,: https://containers.dev/supporting
repo2docker has buildpacks (like Heroku and Google AppEngine).
repo2docker buildpacks should probably work with devcontainer.json too?
repo2docker docs > Usage > "REES: Reproducible Execution Environment" describes what all repo2docker will build a container from: https://repo2docker.readthedocs.io/en/latest/usage.html
jupyterhub/repo2docker builds a Dockerfile (Containerfile) from git repo (or a Figshare/Zenodo DOI) that minimally has at least an /environment.yml and /example.py (and probably also at least a /README.md to start with), and installs a current, updated version of jupyter notebook along with whatever's in e.g. /environment.yml per the REES spec. [1][2][3]
[1] repo2docker/buildpacks/base.py: https://github.com/jupyterhub/repo2docker/blob/main/repo2doc...
[2] "Make base_image configurable" https://github.com/jupyterhub/repo2docker/commit/20b08152578...
[3] repo2docker/buildpacks/conda/environment.py-3.11.yml:
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Vscode.dev: Local Development with Cloud Tools
Also see https://devpod.sh/ which has had quite a lot of exposure on HN recently.
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Simplifying preview environments for everyone
For these reasons, I believe most developer environments should prioritize developer experience over fidelity. Tools like Containerized development environments and cloud emulators can strike the right balance and there’s no surprise that we see increased activity around devcontainers, and similar solutions.
- FLaNK Stack Weekly on 26 June 2023
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Ask HN: What's a good Linux OS and setup to build a dev “network” on my laptop?
Have you considered devcontainers?
Its use results in carrying entire development environments with you, while not cluttering your host OS.
Using DevPod (https://devpod.sh/) ypu are not locked into Visual Studio or Visual Studio Code, but you can use whatever tool you want.
IMO this kind of setup will provide a much better DX than running a bunch of VMs eating away the resources of your laptop.
- Codespaces but open-source, client-only, and unopinionated
What are some alternatives?
telepresence - Local development against a remote Kubernetes or OpenShift cluster
devbox - Instant, easy, and predictable development environments
devspace - DevSpace - The Fastest Developer Tool for Kubernetes ⚡ Automate your deployment workflow with DevSpace and develop software directly inside Kubernetes.
pygwalker - PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis
skaffold - Easy and Repeatable Kubernetes Development
hocus - 🪄 Spin up ready-to-code, disposable dev environments on your own servers. Self-hosted alternative to Gitpod and Github Codespaces.
okteto - Develop your applications directly in your Kubernetes Cluster
vcluster - vCluster - Create fully functional virtual Kubernetes clusters - Each vcluster runs inside a namespace of the underlying k8s cluster. It's cheaper than creating separate full-blown clusters and it offers better multi-tenancy and isolation than regular namespaces.
garden - Automation for Kubernetes development and testing. Spin up production-like environments for development, testing, and CI on demand. Use the same configuration and workflows at every step of the process. Speed up your builds and test runs via shared result caching
LocalStack - 💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline
helm - The Kubernetes Package Manager
arwes - Futuristic Sci-Fi UI Web Framework.