Sample repository that illustrates running LocalStack on Kubernetes (k8s).
This sample requires the following tools installed on your machine:
To install the Python dependencies in a virtualenv:
make install
To create an embedded Kubernetes (k3d) cluster in Docker and install LocalStack in it (via Helm):
make init
After initialization, your kubectl
command-line should be automatically configured to point to the local cluster context:
$ kubectl config current-context
k3d-ls-cluster
Once LocalStack is installed in the Kubernetes cluster, we can deploy the sample app on the LocalStack instance:
make deploy
Once the sample app is deployed, the Kubernetes environment should contain the following resources:
$ kubectl get all
NAME READY STATUS RESTARTS AGE
pod/localstack-6fd5b98f59-zcx2t 1/1 Running 0 5m
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
service/kubernetes ClusterIP 10.43.0.1 <none> 443/TCP 5m
service/localstack NodePort 10.43.100.167 <none> 4566:31566/TCP,4571:31571/TCP 5m
NAME READY UP-TO-DATE AVAILABLE AGE
deployment.apps/localstack 1/1 1 1 5m
NAME DESIRED CURRENT READY AGE
replicaset.apps/localstack-6fd5b98f59 1 1 1 5m
The LocalStack instance should be available via the local ingress port 8081
. We can verify that the resources were successfully created by running a few awslocal
commands against the local endpoint:
$ awslocal sqs --endpoint-url=http://localhost:8081 list-queues
{
"QueueUrls": [
"http://localhost:8081/000000000000/requestQueue"
]
}
$ awslocal apigateway --endpoint-url=http://localhost:8081 get-rest-apis
{
"items": [
{
"id": "ses2pi5oap",
"name": "local-localstack-demo",
...
We can then use a browser to open the Web UI, which should have been deployed to an S3 bucket inside LocalStack. The Web UI can be used to interact with the sample application, send new requests to the backend, inspect the state of existing requests, etc.
This code is available under the Apache 2.0 license.