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AWS

Creating a cluster via the AWS CLI.

Official AMI Images

Official AMI image ID can be found in the cloud-images.json file attached to the Talos release:

curl -sL https://github.com/siderolabs/talos/releases/download/v1.1.1/cloud-images.json | \
    jq -r '.[] | select(.region == "us-east-1") | select (.arch == "amd64") | .id'

Replace us-east-1 and amd64 in the line above with the desired region and architecture.

Creating a Cluster via the AWS CLI

In this guide we will create an HA Kubernetes cluster with 3 worker nodes. We assume an existing VPC, and some familiarity with AWS. If you need more information on AWS specifics, please see the official AWS documentation.

Create the Subnet

aws ec2 create-subnet \
    --region $REGION \
    --vpc-id $VPC \
    --cidr-block ${CIDR_BLOCK}

Create the AMI

Prepare the Import Prerequisites

Create the S3 Bucket
aws s3api create-bucket \
    --bucket $BUCKET \
    --create-bucket-configuration LocationConstraint=$REGION \
    --acl private
Create the vmimport Role

In order to create an AMI, ensure that the vmimport role exists as described in the official AWS documentation.

Note that the role should be associated with the S3 bucket we created above.

Create the Image Snapshot

First, download the AWS image from a Talos release:

curl -LO https://github.com/siderolabs/talos/releases/download/v1.1.1/aws-amd64.tar.gz | tar -xv

Copy the RAW disk to S3 and import it as a snapshot:

aws s3 cp disk.raw s3://$BUCKET/talos-aws-tutorial.raw
aws ec2 import-snapshot \
    --region $REGION \
    --description "Talos kubernetes tutorial" \
    --disk-container "Format=raw,UserBucket={S3Bucket=$BUCKET,S3Key=talos-aws-tutorial.raw}"

Save the SnapshotId, as we will need it once the import is done. To check on the status of the import, run:

aws ec2 describe-import-snapshot-tasks \
    --region $REGION \
    --import-task-ids

Once the SnapshotTaskDetail.Status indicates completed, we can register the image.

Register the Image
aws ec2 register-image \
    --region $REGION \
    --block-device-mappings "DeviceName=/dev/xvda,VirtualName=talos,Ebs={DeleteOnTermination=true,SnapshotId=$SNAPSHOT,VolumeSize=4,VolumeType=gp2}" \
    --root-device-name /dev/xvda \
    --virtualization-type hvm \
    --architecture x86_64 \
    --ena-support \
    --name talos-aws-tutorial-ami

We now have an AMI we can use to create our cluster. Save the AMI ID, as we will need it when we create EC2 instances.

Create a Security Group

aws ec2 create-security-group \
    --region $REGION \
    --group-name talos-aws-tutorial-sg \
    --description "Security Group for EC2 instances to allow ports required by Talos"

Using the security group ID from above, allow all internal traffic within the same security group:

aws ec2 authorize-security-group-ingress \
    --region $REGION \
    --group-name talos-aws-tutorial-sg \
    --protocol all \
    --port 0 \
    --source-group $SECURITY_GROUP

and expose the Talos and Kubernetes APIs:

aws ec2 authorize-security-group-ingress \
    --region $REGION \
    --group-name talos-aws-tutorial-sg \
    --protocol tcp \
    --port 6443 \
    --cidr 0.0.0.0/0

aws ec2 authorize-security-group-ingress \
    --region $REGION \
    --group-name talos-aws-tutorial-sg \
    --protocol tcp \
    --port 50000-50001 \
    --cidr 0.0.0.0/0

Create a Load Balancer

aws elbv2 create-load-balancer \
    --region $REGION \
    --name talos-aws-tutorial-lb \
    --type network --subnets $SUBNET

Take note of the DNS name and ARN. We will need these soon.

Create the Machine Configuration Files

Generating Base Configurations

Using the DNS name of the loadbalancer created earlier, generate the base configuration files for the Talos machines:

$ talosctl gen config talos-k8s-aws-tutorial https://<load balancer IP or DNS>:<port> --with-examples=false --with-docs=false
created controlplane.yaml
created worker.yaml
created talosconfig

Take note that the generated configs are too long for AWS userdata field if the --with-examples and --with-docs flags are not passed.

At this point, you can modify the generated configs to your liking.

Optionally, you can specify --config-patch with RFC6902 jsonpatch which will be applied during the config generation.

Validate the Configuration Files

$ talosctl validate --config controlplane.yaml --mode cloud
controlplane.yaml is valid for cloud mode
$ talosctl validate --config worker.yaml --mode cloud
worker.yaml is valid for cloud mode

Create the EC2 Instances

Note: There is a known issue that prevents Talos from running on T2 instance types. Please use T3 if you need burstable instance types.

Create the Control Plane Nodes

CP_COUNT=1
while [[ "$CP_COUNT" -lt 4 ]]; do
  aws ec2 run-instances \
    --region $REGION \
    --image-id $AMI \
    --count 1 \
    --instance-type t3.small \
    --user-data file://controlplane.yaml \
    --subnet-id $SUBNET \
    --security-group-ids $SECURITY_GROUP \
    --associate-public-ip-address \
    --tag-specifications "ResourceType=instance,Tags=[{Key=Name,Value=talos-aws-tutorial-cp-$CP_COUNT}]"
  ((CP_COUNT++))
done

Make a note of the resulting PrivateIpAddress from the init and controlplane nodes for later use.

Create the Worker Nodes

aws ec2 run-instances \
    --region $REGION \
    --image-id $AMI \
    --count 3 \
    --instance-type t3.small \
    --user-data file://worker.yaml \
    --subnet-id $SUBNET \
    --security-group-ids $SECURITY_GROUP
    --tag-specifications "ResourceType=instance,Tags=[{Key=Name,Value=talos-aws-tutorial-worker}]"

Configure the Load Balancer

aws elbv2 create-target-group \
    --region $REGION \
    --name talos-aws-tutorial-tg \
    --protocol TCP \
    --port 6443 \
    --target-type ip \
    --vpc-id $VPC

Now, using the target group’s ARN, and the PrivateIpAddress from the instances that you created :

aws elbv2 register-targets \
    --region $REGION \
    --target-group-arn $TARGET_GROUP_ARN \
    --targets Id=$CP_NODE_1_IP  Id=$CP_NODE_2_IP  Id=$CP_NODE_3_IP

Using the ARNs of the load balancer and target group from previous steps, create the listener:

aws elbv2 create-listener \
    --region $REGION \
    --load-balancer-arn $LOAD_BALANCER_ARN \
    --protocol TCP \
    --port 443 \
    --default-actions Type=forward,TargetGroupArn=$TARGET_GROUP_ARN

Bootstrap Etcd

Set the endpoints and nodes:

talosctl --talosconfig talosconfig config endpoint <control plane 1 IP>
talosctl --talosconfig talosconfig config node <control plane 1 IP>

Bootstrap etcd:

talosctl --talosconfig talosconfig bootstrap

Retrieve the kubeconfig

At this point we can retrieve the admin kubeconfig by running:

talosctl --talosconfig talosconfig kubeconfig .
Last modified March 29, 2022: docs: reorganize documentation (fa57b5d92)