87 lines
2.2 KiB
Markdown
87 lines
2.2 KiB
Markdown
# Dagger Examples
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All example commands should be executed in the `examples/` directory
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in an up-to-date checkout of the [dagger repository](https://github.com/dagger/dagger).
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## react: Deploy a simple React application
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This example shows how to deploy an example React Application.
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Components:
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- [Netlify](https://netlify.com) for application hosting
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- [Yarn](https://yarnpkg.com) for building
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- [Github](https://github.com) for source code hosting
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- [React-Todo-App](https://github.com/kabirbaidhya/react-todo-app) by Kabir Baidhya as a sample application.
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1. Change the current directory to the example deployment plan
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```sh
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cd ./react
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```
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2. Create a new deployment from the plan
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```sh
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dagger new
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```
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3. Configure the deployment with your Netlify access token.
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You can create new tokens from the [Netlify dashboard](https://app.netlify.com/user/applications/personal).
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```sh
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dagger input text www.account.token MY_TOKEN
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```
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*NOTE: there is a dedicated command for encrypted secret inputs, but it is
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not yet implemented. Coming soon!*
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4. Deploy!
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```sh
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dagger up
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```
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## aws-eks: Kubernetes on AWS (EKS)
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This example provisions a Kubernetes (EKS) cluster on AWS using Cloudformation,
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it also outputs the new generated kubeconfig for the `kubectl` client.
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How to run:
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```sh
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dagger compute ./aws-eks \
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--input-string awsConfig.accessKey="MY_AWS_ACCESS_KEY" \
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--input-string awsConfig.secretKey="MY_AWS_SECRET_KEY" \
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| jq -j '.kubeconfig.kubeconfig' > kubeconfig
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```
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## aws-monitoring: HTTP Monitoring on AWS
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This example implements a full HTTP(s) Monitoring solution on AWS using
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Cloudformation and Cloudwatch Synthetics.
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How to run:
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```sh
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dagger compute ./aws-monitoring \
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--input-string awsConfig.accessKey="MY_AWS_ACCESS_KEY" \
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--input-string awsConfig.secretKey="MY_AWS_SECRET_KEY" \
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```
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## kubernetes: Deploy to an existing Kubernetes cluster
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This example shows two different ways for deploying to an existing Kubernetes
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(EKS) cluster: a simple deployment spec (written in Cue), and a local helm
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chart.
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How to run:
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```sh
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dagger compute ./kubernetes \
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--input-string awsConfig.accessKey="MY_AWS_ACCESS_KEY" \
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--input-string awsConfig.secretKey="MY_AWS_SECRET_KEY" \
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--input-dir helmChart.chart=./kubernetes/testdata/mychart
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```
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