676 lines
22 KiB
Markdown
676 lines
22 KiB
Markdown
---
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slug: /1008/aws-cloudformation/
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---
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# Provision infrastructure with Dagger and AWS CloudFormation
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In this guide, you will learn how to automatically [provision infrastructure](https://dzone.com/articles/infrastructure-provisioning-–) on AWS by integrating [Amazon Cloudformation](https://aws.amazon.com/cloudformation/) in your Dagger environment.
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We will start with something simple: provisioning a new bucket on [Amazon S3](https://en.wikipedia.org/wiki/Amazon_S3). But Cloudformation can provision almost any AWS resource, and Dagger can integrate with the full Cloudformation API.
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## Prerequisites
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### Reminder
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#### Guidelines
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The provisioning strategy detailed below follows S3 best practices. However, to remain agnostic of your current AWS level, it profoundly relies on S3 and Cloudformation documentation.
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#### Relays
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The first thing to consider when developing a plan based on relays is to read their universe reference: it summarizes the expected inputs and their corresponding formats. [Here](/reference/universe/aws/cloudformation) is the Cloudformation one.
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## Initialize a Dagger Workspace and Environment
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### (optional) Setup example app
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You will need the local copy of the [Dagger examples repository](https://github.com/dagger/examples) used in previous guides
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```shell
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git clone https://github.com/dagger/examples
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```
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Make sure to run all commands from the todoapp directory:
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```shell
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cd examples/todoapp
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```
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### (optional) Initialize a Cue module
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This guide will use the same directory as the root of the Dagger workspace and the root of the Cue module, but you can create your Cue module anywhere inside the Dagger workspace.
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```shell
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cue mod init
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```
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### Organize your package
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Let's create a new directory for our Cue package:
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```shell
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mkdir cloudformation
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```
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## Create a basic plan
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Let's implement the Cloudformation template and convert it to a Cue definition for further flexibility.
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### Setup the template and the environment
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#### Setup the template
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The idea here is to follow best practices in [S3 buckets](https://docs.aws.amazon.com/AmazonS3/latest/userguide/HostingWebsiteOnS3Setup.html) provisioning. Thankfully, the AWS documentation contains a working [Cloudformation template](https://docs.aws.amazon.com/fr_fr/AWSCloudFormation/latest/UserGuide/quickref-s3.html#scenario-s3-bucket-website) that fits 95% of our needs.
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##### 1. Tweaking the template: output bucket name only
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Create a file named `template.cue` and add the following configuration to it.
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```cue title="todoapp/cloudformation/template.cue"
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package cloudformation
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// inlined s3 cloudformation template as a string
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template: """
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{
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"AWSTemplateFormatVersion": "2010-09-09",
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"Resources": {
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"S3Bucket": {
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"Type": "AWS::S3::Bucket",
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"Properties": {
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"AccessControl": "PublicRead",
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"WebsiteConfiguration": {
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"IndexDocument": "index.html",
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"ErrorDocument": "error.html"
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}
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},
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"DeletionPolicy": "Retain"
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},
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"BucketPolicy": {
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"Type": "AWS::S3::BucketPolicy",
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"Properties": {
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"PolicyDocument": {
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"Id": "MyPolicy",
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"Version": "2012-10-17",
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"Statement": [
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{
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"Sid": "PublicReadForGetBucketObjects",
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"Effect": "Allow",
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"Principal": "*",
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"Action": "s3:GetObject",
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"Resource": {
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"Fn::Join": [
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"",
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[
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"arn:aws:s3:::",
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{
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"Ref": "S3Bucket"
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},
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"/*"
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]
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]
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}
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}
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]
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},
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"Bucket": {
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"Ref": "S3Bucket"
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}
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}
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}
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},
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"Outputs": {
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"Name": {
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"Value": {
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"Fn::GetAtt": ["S3Bucket", "Arn"]
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},
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"Description": "Name S3 Bucket"
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}
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}
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}
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"""
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```
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##### 2. Cloudformation relay
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As our plan relies on [Cloudformation's relay](/reference/universe/aws/cloudformation), let's dissect the expected inputs by gradually incorporating them into our plan.
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```shell
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dagger doc alpha.dagger.io/aws/cloudformation
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# Inputs:
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# config.region string AWS region
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# config.accessKey dagger.#Secret AWS access key
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# config.secretKey dagger.#Secret AWS secret key
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# source string Source is the Cloudformation template (JSON/YAML…
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# stackName string Stackname is the cloudformation stack
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# parameters struct Stack parameters
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# onFailure *"DO_NOTHING" | "ROLLBACK" | "DELETE" Behavior when failure to create/update the Stack
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# timeout *10 | >=0 & int Maximum waiting time until stack creation/update…
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# neverUpdate *false | true Never update the stack if already exists
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```
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###### 1. General insights
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As seen above in the documentation, values starting with `*` are default values. However, as a plan developer, we may need to add default values to inputs from relays without one: Cue gives you this flexibility.
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###### 2. The config value
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The config values are all part of the `aws` relay. Regarding this package, as you can see above, five of the required inputs miss default options (`parameters` field is optional):
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> - _config.region_
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> - _config.accessKey_
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> - _config.secretKey_
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> - _source_
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> - _stackName_
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Let's implement the first step, use the `aws.#Config` relay, and request its first inputs: the region to deploy and the AWS credentials.
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```cue title="todoapp/cloudformation/source.cue"
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package cloudformation
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import (
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"alpha.dagger.io/aws"
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)
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// AWS account: credentials and region
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awsConfig: aws.#Config
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```
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This defines:
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- `awsConfig`: AWS CLI Configuration step using the package `alpha.dagger.io/aws`. It takes three user inputs: a `region`, an `accessKey`, and a `secretKey`
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#### Setup the environment
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##### 1. Create a new environment
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Now that the Cue package is ready, let's create an environment to run it:
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```shell
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dagger new 'cloudformation' -p ./cloudformation
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```
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##### 2. Check plan
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_Pro tips_: To check whether it worked or not, these three commands might help
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```shell
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dagger input list -e cloudformation # List our personal plan's inputs
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# Input Value Set by user Description
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# awsConfig.region string false AWS region
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# awsConfig.accessKey dagger.#Secret false AWS access key
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# awsConfig.secretKey dagger.#Secret false AWS secret key
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dagger query -e cloudformation # Query values / inspect default values (Instrumental in case of conflict)
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# {}
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dagger up -e cloudformation # Try to run the plan. As expected, we encounter a failure because some user inputs haven't been set
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# 4:11PM ERR system | required input is missing input=awsConfig.region
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# 4:11PM ERR system | required input is missing input=awsConfig.accessKey
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# 4:11PM ERR system | required input is missing input=awsConfig.secretKey
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# 4:11PM FTL system | some required inputs are not set, please re-run with `--force` if you think it's a mistake missing=0s
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```
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#### Finish template setup
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Now that we have the `config` definition properly configured, let's modify the Cloudformation one:
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```cue title="todoapp/cloudformation/source.cue"
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package cloudformation
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import (
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"alpha.dagger.io/aws"
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"alpha.dagger.io/dagger"
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"alpha.dagger.io/random"
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"alpha.dagger.io/aws/cloudformation"
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)
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// AWS account: credentials and region
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awsConfig: aws.#Config
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// Create a random suffix
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suffix: random.#String & {
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seed: ""
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}
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// Query the Cloudformation stackname, or create one with a random suffix to keep unicity
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cfnStackName: *"stack-\(suffix.out)" | string & dagger.#Input
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// AWS Cloudformation stdlib
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cfnStack: cloudformation.#Stack & {
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config: awsConfig
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stackName: cfnStackName
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source: template
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}
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```
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This defines:
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- `suffix`: random suffix leveraging the `random` relay. It doesn't have a seed because we don't care about predictability
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- `cfnStackName`: Name of the stack, either a default value `stack-suffix` or user input
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- `cfnStack`: Cloudformation relay with `AWS config`, `stackName` and `JSON template` as inputs
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### Configure the environment
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Before bringing up the deployment, we need to provide the `cfnStack` inputs declared in the configuration. Otherwise, Dagger will complain about missing inputs.
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```shell
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dagger up -e cloudformation
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# 3:34PM ERR system | required input is missing input=awsConfig.region
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# 3:34PM ERR system | required input is missing input=awsConfig.accessKey
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# 3:34PM ERR system | required input is missing input=awsConfig.secretKey
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# 3:34PM FTL system | some required inputs are not set, please re-run with `--force` if you think it's a mistake missing=0s
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```
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You can inspect the list of inputs (both required and optional) using dagger input list:
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```shell
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dagger input list -e cloudformation
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# Input Value Set by user Description
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# awsConfig.region string false AWS region
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# awsConfig.accessKey dagger.#Secret false AWS access key
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# awsConfig.secretKey dagger.#Secret false AWS secret key
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# suffix.length *12 | number false length of the string
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# cfnStack.onFailure *"DO_NOTHING" | "ROLLBACK" | "DELETE" false Behavior when failure to create/update the Stack
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# cfnStack.timeout *10 | >=0 & int false Maximum waiting time until stack creation/update (in minutes)
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# cfnStack.neverUpdate *false | true false Never update the stack if already exists
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```
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Let's provide the missing inputs:
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```shell
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dagger input text awsConfig.region us-east-2 -e cloudformation
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dagger input secret awsConfig.accessKey yourAccessKey -e cloudformation
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dagger input secret awsConfig.secretKey yourSecretKey -e cloudformation
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```
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### Deploying
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Finally ! We now have a working template ready to be used to provision S3 infrastructures. Let's deploy it:
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<Tabs
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defaultValue="nd"
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values={[
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{ label: 'Normal deploy', value: 'nd', },
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{ label: 'Debug deploy', value: 'dd', },
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]
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}>
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<TabItem value="nd">
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```shell
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dagger up -e cloudformation
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#2:22PM INF suffix.out | computing
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#2:22PM INF suffix.out | completed duration=200ms
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#2:22PM INF cfnStack.outputs | computing
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#2:22PM INF cfnStack.outputs | #15 1.304 {
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#2:22PM INF cfnStack.outputs | #15 1.304 "Parameters": []
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#2:22PM INF cfnStack.outputs | #15 1.304 }
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#2:22PM INF cfnStack.outputs | #15 2.948 {
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#2:22PM INF cfnStack.outputs | #15 2.948 "StackId": "arn:aws:cloudformation:us-east-2:817126022176:stack/stack-emktqcfwksng/207d29a0-cd0b-11eb-aafd-0a6bae5481b4"
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#2:22PM INF cfnStack.outputs | #15 2.948 }
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#2:22PM INF cfnStack.outputs | completed duration=35s
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dagger output list -e cloudformation
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# Output Value Description
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# suffix.out "emktqcfwksng" generated random string
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# cfnStack.outputs.Name "arn:aws:s3:::stack-emktqcfwksng-s3bucket-9eiowjs1jab4" -
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```
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</TabItem>
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<TabItem value="dd">
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```shell
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dagger up -l debug -e cloudformation
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#Output:
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# 3:50PM DBG system | detected buildkit version version=v0.8.3
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# 3:50PM DBG system | spawning buildkit job localdirs={
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# "/tmp/infra-provisioning/.dagger/env/infra/plan": "/tmp/infra-provisioning/.dagger/env/infra/plan"
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# } attrs=null
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# 3:50PM DBG system | loading configuration
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# ... Lots of logs ... :-D
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# Output Value Description
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# suffix.out "abnyiemsoqbm" generated random string
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# cfnStack.outputs.Name "arn:aws:s3:::stack-abnyiemsoqbm-s3bucket-9eiowjs1jab4" -
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dagger output list -e cloudformation
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# Output Value Description
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# suffix.out "abnyiemsoqbm" generated random string
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# cfnStack.outputs.Name "arn:aws:s3:::stack-abnyiemsoqbm-s3bucket-9eiowjs1jab4" -
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```
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</TabItem>
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</Tabs>
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The deployment went well!
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In case of a failure, the `Debug deploy` tab shows the command to get more information.
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The name of the provisioned S3 instance lies in the `cfnStack.outputs.Name` output key, without `arn:aws:s3:::`
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> With this provisioning infrastructure, your dev team will easily be able to instantiate aws infrastructures: all they need to know is `dagger input list -e cloudformation` and `dagger up -e cloudformation` isn't that awesome? :-D
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## Cue Cloudformation template
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This section will convert the inlined JSON template to CUE to take advantage of the language features.
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To do so quickly, we will first transform the template from JSON format to Cue format, then optimize it to leverage Cue's forces.
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### 1. Create convert.cue
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We will create a new `convert.cue` file to process the conversion
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import Tabs from "@theme/Tabs";
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import TabItem from "@theme/TabItem";
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<Tabs
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defaultValue="sv"
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values={[
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{ label: 'JSON Generic Code', value: 'sv', },
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{ label: 'YAML Generic Code', value: 'yv', },
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]
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}>
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<TabItem value="sv">
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```cue title="todoapp/cloudformation/convert.cue"
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package cloudformation
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import "encoding/json"
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s3Template: json.Unmarshal(template)
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```
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</TabItem>
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<TabItem value="yv">
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```cue title="todoapp/cloudformation/convert.cue"
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package cloudformation
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import "encoding/yaml"
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s3Template: yaml.Unmarshal(template)
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```
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</TabItem>
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</Tabs>
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This defines:
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- `s3Template`: contains the unmarshalled template.
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You need to empty the plan and copy the `convert.cue` file to the plan for Dagger to reference it
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```shell
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mv cloudformation/source.cue ~/tmp/
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```
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### 2. Retrieve the Unmarshalled JSON
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Then, still in the same folder, query the `s3Template` value to retrieve the Unmarshalled result of `s3`:
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```shell
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dagger query s3Template -e cloudformation
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# {
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# "AWSTemplateFormatVersion": "2010-09-09",
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# "Outputs": {
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# "Name": {
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# "Description": "Name S3 Bucket",
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# "Value": {
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# "Fn::GetAtt": [
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# "S3Bucket",
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# "Arn"
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# ...
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```
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The commented output above is the cue version of the JSON Template, copy it
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### 3. Remove convert.cue
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```shell
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rm cloudformation/convert.cue
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```
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### 4. Store the output
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Open `cloudformation/template.cue` and append below elements with copied Cue definition of the JSON:
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```cue title="todoapp/cloudformation/template.cue"
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// Add this line, to make it part to the cloudformation template
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package cloudformation
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import "encoding/json"
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// Wrap exported Cue in previous point inside the `s3` value
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s3: {
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"AWSTemplateFormatVersion": "2010-09-09",
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"Outputs": {
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"Name": {
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"Description": "Name S3 Bucket",
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"Value": {
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"Fn::GetAtt": [
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"S3Bucket",
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"Arn"
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]
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}
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}
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},
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"Resources": {
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"BucketPolicy": {
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"Properties": {
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"Bucket": {
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"Ref": "S3Bucket"
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},
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"PolicyDocument": {
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"Id": "MyPolicy",
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"Statement": [
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{
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"Action": "s3:GetObject",
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"Effect": "Allow",
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"Principal": "*",
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"Resource": {
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"Fn::Join": [
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"",
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[
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"arn:aws:s3:::",
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{
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"Ref": "S3Bucket"
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},
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"/*"
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]
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]
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},
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"Sid": "PublicReadForGetBucketObjects"
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}
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],
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"Version": "2012-10-17"
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}
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},
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"Type": "AWS::S3::BucketPolicy"
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},
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"S3Bucket": {
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"DeletionPolicy": "Retain",
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"Properties": {
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"AccessControl": "PublicRead",
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"WebsiteConfiguration": {
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"ErrorDocument": "error.html",
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"IndexDocument": "index.html"
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}
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},
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"Type": "AWS::S3::Bucket"
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}
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}
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}
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// Template contains the marshalled value of the s3 template
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template: json.Marshal(s3)
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```
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We're using the built-in `json.Marshal` function to convert CUE back to JSON, so Cloudformation still receives the same template.
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You can inspect the configuration using `dagger query -e cloudformation` to verify it produces the same manifest:
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```shell
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dagger query template -f text -e cloudformation
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```
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Now that the template is defined in CUE, we can use the language to add more flexibility to our template.
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Let's define a re-usable `#Deployment` definition in `todoapp/cloudformation/deployment.cue`:
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```cue title="todoapp/cloudformation/deployment.cue"
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package cloudformation
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#Deployment: {
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// Bucket's output description
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description: string
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// index file
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indexDocument: *"index.html" | string
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// error file
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errorDocument: *"error.html" | string
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// Bucket policy version
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version: *"2012-10-17" | string
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// Retain as default deletion policy. Delete is also accepted but requires the s3 bucket to be empty
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deletionPolicy: *"Retain" | "Delete"
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// Canned access control list (ACL) that grants predefined permissions to the bucket
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accessControl: *"PublicRead" | "Private" | "PublicReadWrite" | "AuthenticatedRead" | "LogDeliveryWrite" | "BucketOwnerRead" | "BucketOwnerFullControl" | "AwsExecRead"
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// Modified copy of s3 value in `todoapp/cloudformation/template.cue`
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template: {
|
||
"AWSTemplateFormatVersion": "2010-09-09",
|
||
"Outputs": {
|
||
"Name": {
|
||
"Description": description,
|
||
"Value": {
|
||
"Fn::GetAtt": [
|
||
"S3Bucket",
|
||
"Arn"
|
||
]
|
||
}
|
||
}
|
||
},
|
||
"Resources": {
|
||
"BucketPolicy": {
|
||
"Properties": {
|
||
"Bucket": {
|
||
"Ref": "S3Bucket"
|
||
},
|
||
"PolicyDocument": {
|
||
"Id": "MyPolicy",
|
||
"Statement": [
|
||
{
|
||
"Action": "s3:GetObject",
|
||
"Effect": "Allow",
|
||
"Principal": "*",
|
||
"Resource": {
|
||
"Fn::Join": [
|
||
"",
|
||
[
|
||
"arn:aws:s3:::",
|
||
{
|
||
"Ref": "S3Bucket"
|
||
},
|
||
"/*"
|
||
]
|
||
]
|
||
},
|
||
"Sid": "PublicReadForGetBucketObjects"
|
||
}
|
||
],
|
||
"Version": version
|
||
}
|
||
},
|
||
"Type": "AWS::S3::BucketPolicy"
|
||
},
|
||
"S3Bucket": {
|
||
"DeletionPolicy": deletionPolicy,
|
||
"Properties": {
|
||
"AccessControl": "PublicRead",
|
||
"WebsiteConfiguration": {
|
||
"ErrorDocument": errorDocument,
|
||
"IndexDocument": indexDocument
|
||
}
|
||
},
|
||
"Type": "AWS::S3::Bucket"
|
||
}
|
||
}
|
||
}
|
||
}
|
||
```
|
||
|
||
`template.cue` can be rewritten as follows:
|
||
|
||
```cue title="todoapp/cloudformation/template.cue"
|
||
package cloudformation
|
||
import "encoding/json"
|
||
|
||
s3: #Deployment & {
|
||
description: "Name S3 Bucket"
|
||
}
|
||
|
||
// Template contains the marshalled value of the s3 template
|
||
template: json.Marshal(s3.template)
|
||
```
|
||
|
||
Verify template
|
||
|
||
Double-checks at the template level can be done with manual uploads on Cloudformation's web interface or by executing the below command locally:
|
||
|
||
```shell
|
||
tmpfile=$(mktemp ./tmp.XXXXXX) && dagger query template -f text -e cloudformation > "$tmpfile" && aws cloudformation validate-template --template-body file://"$tmpfile" ; rm "$tmpfile"
|
||
```
|
||
|
||
Let's make sure it yields the same result:
|
||
|
||
```shell
|
||
dagger query template -f text -e cloudformation
|
||
# {
|
||
# "description": "Name S3 Bucket",
|
||
# "indexDocument": "index.html",
|
||
# "errorDocument": "error.html",
|
||
# "version": "2012-10-17",
|
||
# "deletionPolicy": "Retain",
|
||
# "accessControl": "PublicRead",
|
||
# "template": {
|
||
# "AWSTemplateFormatVersion": "2010-09-09",
|
||
# "Outputs": {
|
||
# "Name": {
|
||
# "Description": "Name S3 Bucket",
|
||
# "Value": {
|
||
```
|
||
|
||
You need to move back the `source.cue` for Dagger to instanciate a bucket:
|
||
|
||
```shell
|
||
mv ~/tmp/source.cue cloudformation/source.cue
|
||
```
|
||
|
||
And we can now deploy it:
|
||
|
||
```shell
|
||
dagger up -e cloudformation
|
||
#2:22PM INF suffix.out | computing
|
||
#2:22PM INF suffix.out | completed duration=200ms
|
||
#2:22PM INF cfnStack.outputs | computing
|
||
#2:22PM INF cfnStack.outputs | #15 1.304 {
|
||
#2:22PM INF cfnStack.outputs | #15 1.304 "Parameters": []
|
||
#2:22PM INF cfnStack.outputs | #15 1.304 }
|
||
#2:22PM INF cfnStack.outputs | #15 2.948 {
|
||
#2:22PM INF cfnStack.outputs | #15 2.948 "StackId": "arn:aws:cloudformation:us-east-2:817126022176:stack/stack-emktqcfwksng/207d29a0-cd0b-11eb-aafd-0a6bae5481b4"
|
||
#2:22PM INF cfnStack.outputs | #15 2.948 }
|
||
#2:22PM INF cfnStack.outputs | completed duration=35s
|
||
```
|
||
|
||
Name of the deployed bucket:
|
||
|
||
```shell
|
||
dagger output list -e cloudformation
|
||
# Output Value Description
|
||
# suffix.out "ucwcecwwshdl" generated random string
|
||
# cfnStack.outputs.Name "arn:aws:s3:::stack-ucwcecwwshdl-s3bucket-gaqmj8rzsl08" -
|
||
```
|
||
|
||
The name of the provisioned S3 instance lies in the `cfnStack.outputs.Name` output key, without `arn:aws:s3:::`
|
||
|
||
PS: This plan could be further extended with the AWS S3 example. It could provide infrastructure and quickly deploy it.
|
||
|
||
PS1: As it could be an excellent first exercise for you, this won't be detailed here. However, we're interested in your imagination: let us know your implementations :-)
|