When using Amazon's K8s offering, the EKS service, at some point you need to connect the Kubernetes API and configuration to the infrastructure established within AWS. Especially we need a kubeconfig with proper credentials and URLs to connect to the k8s control plane provided by EKS.
The Amazon commandline tool aws provides a routine for this task
aws eks update-kubeconfig --kubeconfig /path/to/kubecfg.yaml --name <EKS-cluster-name>
When looking at the Boto API documentation, I seem to be unable to spot the equivalent for the above mentioned aws routine. Maybe I am looking at the wrong place.
aws in a subprocess)?There isn't a method function to do this, but you can build the configuration file yourself like this:
# Set up the client
s = boto3.Session(region_name=region)
eks = s.client("eks")
# get cluster details
cluster = eks.describe_cluster(name=cluster_name)
cluster_cert = cluster["cluster"]["certificateAuthority"]["data"]
cluster_ep = cluster["cluster"]["endpoint"]
# build the cluster config hash
cluster_config = {
        "apiVersion": "v1",
        "kind": "Config",
        "clusters": [
            {
                "cluster": {
                    "server": str(cluster_ep),
                    "certificate-authority-data": str(cluster_cert)
                },
                "name": "kubernetes"
            }
        ],
        "contexts": [
            {
                "context": {
                    "cluster": "kubernetes",
                    "user": "aws"
                },
                "name": "aws"
            }
        ],
        "current-context": "aws",
        "preferences": {},
        "users": [
            {
                "name": "aws",
                "user": {
                    "exec": {
                        "apiVersion": "client.authentication.k8s.io/v1alpha1",
                        "command": "heptio-authenticator-aws",
                        "args": [
                            "token", "-i", cluster_name
                        ]
                    }
                }
            }
        ]
    }
# Write in YAML.
config_text=yaml.dump(cluster_config, default_flow_style=False)
open(config_file, "w").write(config_text)
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