README: better intro, getting started instructions
Signed-off-by: Solomon Hykes <sh.github.6811@hykes.org>
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README.md
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README.md
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# dagger: the devops superglu, by the creators of docker
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# Dagger: the devops superglu, by the creators of docker
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Dagger is an automation platform that lets software teams bind all their tools and infrastructure together into a unified supply chain.
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Dagger is a scripting environment for automating the delivery of your application to the cloud,
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from code to production.
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Thanks to its vast catalog of adapters, developed in the open and curated for safety and quality,
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you can drop Dagger into an existing stack *without changing it*, and immediately start automating the most repetitive and complex tasks.
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If you are familiar with PaaS services like Heroku, Firebase or Openshift:
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Dagger makes it easy to create a custom PaaS that is perfectly tailored to each application,
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instead of forcing it into a rigid, homogeneous mold. The Dagger philosophy
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is that the platform should adapt to the application, not the other way around.
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This means that, unlike traditional PaaS, you can use Dagger with all your applications,
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*without having to change your tooling, software stack or infrastructure*.
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TODO:
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*[... principles: productivity + compat]*
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*[.. do out-of-the-box things that would require months of work otherwise]*
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*[.. alternative to the dilemna: paas or build your own?]*
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## Warning: alpha software
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Please note that Dagger is *alpha-quality software*. This means it has many bugs,
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the user interface is minimal, and it may change in incompatible ways at any time.
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If you are still willing to try it, thank you! We appreciate your help.
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Please do not hesitate to ask questions, report bugs, or share feedback,
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either in a github or in the discord chatroom.
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## Platform as code
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The most important feature of Dagger is that it is *programmable*.
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Thanks to its powerful scripting environment and growing catalog of reusable components,
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anyone with basic programming knowledge can assemble a custom platform for their application,
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and quickly start automating repetitive and complex tasks, so the entire team can spend
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less time getting deployment to work, and more time developing.
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And most importantly, Dagger is *programmable*. Thanks to a powerful scripting environment,
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anyone with basic programming knowledge can extend Dagger with their own custom adapters and workflows.
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Whether you're a seasoned SRE building a custom PAAS for your organization, a hobbyist on a fun
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over-engineered week-end project, or a developer trying to setup CICD because, well, someone has to do it..
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There's a whole community of fellow automation enthusiasts ready to help you write your first Dagger script.
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There's a whole community of fellow automation enthusiasts ready to help you write your first script.
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## Usage examples
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A few examples of how Dagger is used in the wild:
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- Deploy a new API to AWS Elastic Container Service while continuing to deploy the main app on Heroku
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- Use AWS Elastic Container Service to deploy the new API, while continuing to deploy the main app on Heroku.
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- Deploy lightweight staging environments on-demand for QA, integration testing or product demos.
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- Run integration tests on a live production-like deployment, automatically, for each pull request.
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- Deploy the same app on Netlify for testing, and on Kubernetes for production
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@ -31,6 +60,70 @@ A few examples of how Dagger is used in the wild:
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- Migrate from Helm to Kustomize, without disrupting next week's big release.
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## Getting started
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1. Build the `dagger` command-line tool. You will need [Go](https://golang.org) version 1.13 or later.
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```
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$ make
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```
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2. Copy the `dagger` tool to a location listed in your `$PATH`. For example, to copy it to `/usr/local/bin`:
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```
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$ cp ./cmd/dagger/dagger /usr/local/bin
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```
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3. Run [buildkitd](https://github.com/moby/buildkit) on your local machine. The simplest way to do this is using [Docker](https://docker.com).
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On a machine with Docker installed, run:
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```
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$ docker run -d --name buildkitd --privileged moby/buildkit:latest
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```
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4. Compute a test configuration
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Currently `dagger` can only do one thing: compute a configuration with optional inputs, and print the result.
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If you are confused by how to use this for your application, that is normal: `dagger compute` is a low-level command
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which exposes the naked plumbing of the Dagger engine. In future versions, more user-friendly commands will be available
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which hide the complexity of `dagger compute` (but it will always be available to power users, of course!).
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Here is an example command, using an example configuration:
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```
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$ dagger compute \
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./examples/simple \
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--input 'www: hostname: "www.mysuperapp.com"' \
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--input 'www: source: #dagger: compute: [{do:"fetch-git", remote:"https://github.com/samalba/hellogo", ref:"master"}]'
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```
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## Custom buildkit setup
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Dagger can be configured to use an existing buildkit daemon, running either locally or remotely. This can be done using two environment variables: `BUILDKIT_HOST` and `DOCKER_HOST`.
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To use a buildkit daemon listening on TCP port `1234` on localhost:
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```
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$ export BUILDKIT_HOST=tcp://localhost:1234
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```
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To use a buildkit daemon running in a container named "super-buildkit" on the local docker host:
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```
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$ export BUILDKIT_HOST=docker-container://super-buildkit
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```
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To use a buildkit daemon running on a remote docker host (be careful to properly secure remotely accessible docker hosts!)
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```
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$ export BUILDKIT_HOST=docker-container://super-buildkit
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$ export DOCKER_HOST=tcp://my-remote-docker-host:2376
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```
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## Comparison to other automation platforms
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@ -61,3 +154,5 @@ Kustomize, Helm, jsonnet
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### Gitops
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Flux, ...
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