AWS
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/talos-systems/talos/releases/latest/download/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 join.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 join.yaml --mode cloud
join.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://join.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 .