cloudformation-operator
A Kubernetes operator for managing CloudFormation stacks via kubectl
and a custom resource definition.
Warning: this project is in alpha state. It should only be used to try out the demo and get the general idea.
This version uses the new operator-sdk. It's untested and may not work correctly
Deploy to a cluster
You need API access to a cluster running at least Kubernetes v1.17.0+.
Start the CloudFormation operator in your cluster by using the provided manifests:
$ make deploy IMG=quay.io/linki/cloudformation-operator:latest
Modify the region
flag to match your cluster's.
Additionally you need to make sure that the operator Pod has enough AWS IAM permissions to create, update and delete CloudFormation stacks as well as permission to modify any resources that are part of the CloudFormation stacks you intend to deploy. In order to follow the example below it needs access to CloudFormation as well as S3.
The operator will require an IAM role or user credentials. Use the following Policy document as a guideline in order to follow the tutorial:
MyIAMRole:
Properties:
...
Policies:
- PolicyDocument:
Statement:
- {Action: 'cloudformation:*', Effect: Allow, Resource: '*'}
- {Action: 's3:*', Effect: Allow, Resource: '*'}
Version: '2012-10-17'
...
The operator will usually use the IAM role of the EC2 instance it's running on, so you have to add those permissions to that role. If you're using Kube2IAM or similar and give your Pod a dedicated IAM role then you have to add the permissions to that role.
Once running the operator should print some output but shouldn't actually do anything at this point. Leave it running, keep watching its logs and continue with the steps below.
Demo
Create stack
Currently you don't have any stacks.
$ kubectl get stacks
No resources found.
Let's create a simple one that manages an S3 bucket:
apiVersion: cloudformation.linki.space/v1alpha1
kind: Stack
metadata:
name: my-bucket
spec:
template: |
---
AWSTemplateFormatVersion: '2010-09-09'
Resources:
S3Bucket:
Type: AWS::S3::Bucket
Properties:
VersioningConfiguration:
Status: Suspended
The Stack resource's definition looks a lot like any other Kubernetes resource manifest.
The spec
section describes an attribute called template
which contains a regular CloudFormation template.
Go ahead and submit the stack definition to your cluster:
$ kubectl apply -f config/samples/cfs-my-bucket-v1.yaml
stack "my-bucket" created
$ kubectl get stacks
NAME AGE
my-bucket 21s
Open your AWS CloudFormation console and find your new stack.
Once the CloudFormation stack is created check that your S3 bucket was created as well.
The operator will write back additional information about the CloudFormation Stack to your Kubernetes resource's status
section, e.g. the stackID
:
$ kubectl get stacks my-bucket -o yaml
spec:
template:
...
status:
stackID: arn:aws:cloudformation:eu-central-1:123456789012:stack/my-bucket/327b7d3c-f27b-4b94-8d17-92a1d9da85ab
Voilà , you just created a CloudFormation stack by only talking to Kubernetes.
Update stack
You can also update your stack: Let's change the VersioningConfiguration
from Suspended
to Enabled
:
apiVersion: cloudformation.linki.space/v1alpha1
kind: Stack
metadata:
name: my-bucket
spec:
template: |
---
AWSTemplateFormatVersion: '2010-09-09'
Resources:
S3Bucket:
Type: AWS::S3::Bucket
Properties:
VersioningConfiguration:
Status: Enabled
As with most Kubernetes resources you can update your Stack
resource by applying a changed manifest to your Kubernetes cluster or by using kubectl edit stack my-stack
.
$ kubectl apply -f config/samples/cfs-my-bucket-v2.yaml
stack "my-bucket" configured
Wait until the operator discovered and executed the change, then look at your AWS CloudFormation console again and find your stack being updated, yay.
Tags
You may want to assign tags to your CloudFormation stacks. The tags added to a CloudFormation stack will be propagated to the managed resources. This feature may be useful in multiple cases, for example, to distinguish resources at billing report. Current operator provides two ways to assign tags:
--tag
command line argument orAWS_TAGS
environment variable which allows setting default tags for all resources managed by the operator. The format is--tag=foo=bar --tag=wambo=baz
on the command line or with a line break when specifying as an env var. (e.g. in zsh:AWS_TAGS="foo=bar"$'\n'"wambo=baz"
)tags
parameter at kubernetes resource spec:
apiVersion: cloudformation.linki.space/v1alpha1
kind: Stack
metadata:
name: my-bucket
spec:
tags:
foo: dataFromStack
template: |
---
AWSTemplateFormatVersion: '2010-09-09'
Resources:
S3Bucket:
Type: AWS::S3::Bucket
Properties:
VersioningConfiguration:
Status: Enabled
Resource-specific tags have precedence over the default tags. Thus if a tag is defined at command-line arguments and for a Stack
resource, the value from the Stack
resource will be used.
If we run the operation and a Stack
resource with the described above examples, we'll see such picture:
Parameters
However, often you'll want to extract dynamic values out of your CloudFormation stack template into so called Parameters
so that your template itself doesn't change that often and, well, is really a template.
Let's extract the VersioningConfiguration
into a parameter:
apiVersion: cloudformation.linki.space/v1alpha1
kind: Stack
metadata:
name: my-bucket
spec:
parameters:
VersioningConfiguration: Enabled
template: |
---
AWSTemplateFormatVersion: '2010-09-09'
Parameters:
VersioningConfiguration:
Type: String
Default: none
AllowedValues:
- "Enabled"
- "Suspended"
Resources:
S3Bucket:
Type: AWS::S3::Bucket
Properties:
VersioningConfiguration:
Status:
Ref: VersioningConfiguration
and apply it to your cluster:
$ kubectl apply -f config/samples/cfs-my-bucket-v3.yaml
stack "my-bucket" configured
Since we changed the template a little this will update your CloudFormation stack. However, since we didn't actually change anything because we injected the same VersioningConfiguration
value as before, your S3 bucket shouldn't change.
Any CloudFormation parameters defined in the CloudFormation template can be specified in the Stack
resource's spec.parameters
section. It's a simple key/value map.
Outputs
Furthermore, CloudFormation supports so called Outputs
. These can be used for dynamic values that are only known after a stack has been created.
In our example, we don't define a particular S3 bucket name but instead let AWS generate one for us.
Let's change our CloudFormation template to expose the generated bucket name via an Output
:
apiVersion: cloudformation.linki.space/v1alpha1
kind: Stack
metadata:
name: my-bucket
spec:
parameters:
VersioningConfiguration: Enabled
template: |
---
AWSTemplateFormatVersion: '2010-09-09'
Parameters:
VersioningConfiguration:
Type: String
Default: none
AllowedValues:
- "Enabled"
- "Suspended"
Resources:
S3Bucket:
Type: AWS::S3::Bucket
Properties:
VersioningConfiguration:
Status:
Ref: VersioningConfiguration
Outputs:
BucketName:
Value: !Ref 'S3Bucket'
Description: Name of the sample Amazon S3 bucket.
Apply the change to our cluster and wait until the operator has successfully updated the CloudFormation stack.
$ kubectl apply -f config/samples/cfs-my-bucket-v4.yaml
stack "my-bucket" configured
Every Output
you define will be available in your Kubernetes resource's status
section under the outputs
field as a key/value map.
Let's check the name of our S3 bucket:
$ kubectl get stacks my-bucket -o yaml
spec:
template:
...
status:
stackID: ...
outputs:
BucketName: my-bucket-s3bucket-tarusnslfnsj
In the template we defined an Output
called BucketName
that should contain the name of our bucket after stack creation. Looking up the corresponding value under .status.outputs[BucketName]
reveals that our bucket was named my-bucket-s3bucket-tarusnslfnsj
.
Delete stack
The operator captures the whole lifecycle of a CloudFormation stack. So if you delete the resource from Kubernetes, the operator will teardown the CloudFormation stack as well. Let's do that now:
$ kubectl delete stack my-bucket
stack "my-bucket" deleted
Check your CloudFormation console once more and validate that your stack as well as your S3 bucket were deleted.
Command-line arguments
Argument | Environment variable | Default value | Description |
---|---|---|---|
assume-role | Assume AWS role when defined. Useful for stacks in another AWS account. Specify the full ARN, e.g. arn:aws:iam::123456789:role/cloudformation-operator |
||
capability | Enable specified capabilities for all stacks managed by the operator instance. Current parameter can be used multiple times. For example: --capability CAPABILITY_NAMED_IAM --capability CAPABILITY_IAM . Or with a line break when specifying as an environment variable: AWS_CAPABILITIES=CAPABILITY_IAM$'\n'CAPABILITY_NAMED_IAM |
||
dry-run | If true, don't actually do anything. | ||
tag ... | Default tags which should be applied for all stacks. The format is --tag=foo=bar --tag=wambo=baz on the command line or with a line break when specifying as an env var. (e.g. in zsh: AWS_TAGS="foo=bar"$'\n'"wambo=baz" ) |
||
namespace | WATCH_NAMESPACE | default | The Kubernetes namespace to watch |
region | The AWS region to use |
Cleanup
Clean up the resources:
$ make undeploy
Build and run locally
This project uses the operator sdk.
$ make
$ WATCH_NAMESPACE=default KUBERNETES_CONFIG=~/.kube/config make run OPERATOR_FLAGS="--region eu-central-1"
Build the docker image
$ make docker-build quay.io/linki/cloudformation-operator:latest
$ make docker-push quay.io/linki/cloudformation-operator:latest
Test it locally
You can use OPERATOR_FLAGS
to pass in flags using the operator-sdk.
Assuming you are using minikube:
$ minikube start # you will be have a kubeconfig read to use by cloudformation operator
$ export AWS_PROFILE=my_profile # setup your aws config
$ cd $GOPATH/src/github.com/linki/cloudformation-operator
$ # run cloudformation operator based on previous settings and env vars
$ WATCH_NAMESPACE=staging make run OPERATOR_FLAGS="--dry-run=true --region=eu-central-1"
I0122 16:31:14.509064 195514 request.go:645] Throttling request took 1.027790903s, request: GET:https://api.crc.testing:6443/apis/template.openshift.io/v1?timeout=32s
2021-01-22T16:31:15.863-0500 INFO controller-runtime.metrics metrics server is starting to listen {"addr": ":8080"}
2021-01-22T16:31:15.864-0500 INFO setup
2021-01-22T16:31:15.864-0500 INFO setup starting manager
2021-01-22T16:31:15.864-0500 INFO controller-runtime.manager starting metrics server {"path": "/metrics"}
2021-01-22T16:31:15.864-0500 INFO controller-runtime.manager.controller.stack Starting EventSource {"reconciler group": "cloudformation.linki.space", "reconciler kind": "Stack", "source": "kind source: /, Kind="}
2021-01-22T16:31:15.965-0500 INFO controller-runtime.manager.controller.stack Starting Controller {"reconciler group": "cloudformation.linki.space", "reconciler kind": "Stack"}
2021-01-22T16:31:15.965-0500 INFO controller-runtime.manager.controller.stack Starting workers {"reconciler group": "cloudformation.linki.space", "reconciler kind": "Stack", "worker count": 1}