Before we can bring up the cluster we need to install the CLI tool kops.
In order to control Kubernetes clusters we need to install the CLI tool kubectl.
In order to correctly prepare your AWS account for kops, we require you to
install the AWS CLI tools, and have API credentials for an account that has
the permissions to create a new IAM account for kops later in the guide.
Once you've installed the AWS CLI tools and have correctly setup
your system to use the official AWS methods of registering security credentials
as defined here we'll be ready to run kops, as it uses the Go AWS SDK.
In order to build clusters within AWS we'll create a dedicated IAM user for
kops. This user requires API credentials in order to use kops. Create
the user, and credentials, using the AWS console.
The kops user will require the following IAM permissions to function properly:
AmazonEC2FullAccess
AmazonRoute53FullAccess
AmazonS3FullAccess
IAMFullAccess
AmazonVPCFullAccess
You can create the kops IAM user from the command line using the following:
aws iam create-group --group-name kops
export arns="
arn:aws:iam::aws:policy/AmazonEC2FullAccess
arn:aws:iam::aws:policy/AmazonRoute53FullAccess
arn:aws:iam::aws:policy/AmazonS3FullAccess
arn:aws:iam::aws:policy/IAMFullAccess
arn:aws:iam::aws:policy/AmazonVPCFullAccess"
for arn in $arns; do aws iam attach-group-policy --policy-arn "$arn" --group-name kops; done
aws iam create-user --user-name kops
aws iam add-user-to-group --user-name kops --group-name kops
aws iam create-access-key --user-name kopsYou should record the SecretAccessKey and AccessKeyID in the returned JSON output, and then use them below:
# configure the aws client to use your new IAM user
aws configure # Use your new access and secret key here
aws iam list-users # you should see a list of all your IAM users here
# Because "aws configure" doesn't export these vars for kops to use, we export them now
export AWS_ACCESS_KEY_ID=<access key>
export AWS_SECRET_ACCESS_KEY=<secret key>In order to build a Kubernetes cluster with kops, we need to prepare
somewhere to build the required DNS records. There are three scenarios
below and you should choose the one that most closely matches your AWS
situation.
If you bought your domain with AWS, then you should already have a hosted zone in Route53. If you plan to use this domain then no more work is needed.
In this example you own example.com and your records for Kubernetes would
look like etcd-us-east-1c.internal.clustername.example.com
In this scenario you want to contain all kubernetes records under a subdomain of a domain you host in Route53. This requires creating a second hosted zone in route53, and then setting up route delegation to the new zone.
In this example you own example.com and your records for Kubernetes would
look like etcd-us-east-1c.internal.clustername.subdomain.example.com
This is copying the NS servers of your SUBDOMAIN up to the PARENT domain in Route53. To do this you should:
- Create the subdomain, and note your SUBDOMAIN name servers (If you have already done this you can also get the values)
# Note: This example assumes you have jq installed locally.
ID=$(uuidgen) && aws route53 create-hosted-zone --name subdomain.example.com --caller-reference $ID | \
jq .DelegationSet.NameServers- Note your PARENT hosted zone id
# Note: This example assumes you have jq installed locally.
aws route53 list-hosted-zones | jq '.HostedZones[] | select(.Name=="example.com.") | .Id'- Create a new JSON file with your values (
subdomain.json)
Note: The NS values here are for the SUBDOMAIN
{
"Comment": "Create a subdomain NS record in the parent domain",
"Changes": [
{
"Action": "CREATE",
"ResourceRecordSet": {
"Name": "subdomain.example.com",
"Type": "NS",
"TTL": 300,
"ResourceRecords": [
{
"Value": "ns-1.awsdns-1.co.uk"
},
{
"Value": "ns-2.awsdns-2.org"
},
{
"Value": "ns-3.awsdns-3.com"
},
{
"Value": "ns-4.awsdns-4.net"
}
]
}
}
]
}
- Apply the SUBDOMAIN NS records to the PARENT hosted zone.
aws route53 change-resource-record-sets \
--hosted-zone-id <parent-zone-id> \
--change-batch file://subdomain.json
Now traffic to *.subdomain.example.com will be routed to the correct subdomain hosted zone in Route53.
If you bought your domain elsewhere, and would like to dedicate the entire domain to AWS you should follow the guide here
If you bought your domain elsewhere, but only want to use a subdomain in AWS Route53 you must modify your registrar's NS (NameServer) records. We'll create a hosted zone in Route53, and then migrate the subdomain's NS records to your other registrar.
You might need to grab jq for some of these instructions.
- Create the subdomain, and note your name servers (If you have already done this you can also get the values)
ID=$(uuidgen) && aws route53 create-hosted-zone --name subdomain.example.com --caller-reference $ID | jq .DelegationSet.NameServers-
You will now go to your registrars page and log in. You will need to create a new SUBDOMAIN, and use the 4 NS records received from the above command for the new SUBDOMAIN. This MUST be done in order to use your cluster. Do NOT change your top level NS record, or you might take your site offline.
-
Information on adding NS records with Godaddy.com
-
Information on adding NS records with Google Cloud Platform
By default the assumption is that NS records are publically available. If you require private DNS records you should modify the commands we run later in this guide to include:
kops create cluster --dns private $NAME
You should now able to dig your domain (or subdomain) and see the AWS Name Servers on the other end.
dig ns subdomain.example.comShould return something similar to:
;; ANSWER SECTION:
subdomain.example.com. 172800 IN NS ns-1.awsdns-1.net.
subdomain.example.com. 172800 IN NS ns-2.awsdns-2.org.
subdomain.example.com. 172800 IN NS ns-3.awsdns-3.com.
subdomain.example.com. 172800 IN NS ns-4.awsdns-4.co.uk.
This is a critical component of setting up clusters. If you are experiencing problems with the Kubernetes API not coming up, chances are something is wrong with the clusters DNS.
Please DO NOT MOVE ON until you have validated your NS records!
In order to store the state of your cluster, and the representation of your
cluster, we need to create a dedicated S3 bucket for kops to use. This
bucket will become the source of truth for our cluster configuration. In
this guide we'll call this bucket example-com-state-store, but you should
add a custom prefix as bucket names need to be unique.
We recommend keeping the creation of this bucket confined to us-east-1, otherwise more work will be required.
aws s3api create-bucket --bucket prefix-example-com-state-store --region us-east-1Note: We STRONGLY recommend versioning your S3 bucket in case you ever need to revert or recover a previous state store.
aws s3api put-bucket-versioning --bucket prefix-example-com-state-store --versioning-configuration Status=EnabledIt is possible to use a single S3 bucket for storing kops state for clusters located in different accounts, by using cross-account bucket policies.
Kops will be able to use buckets configured with cross-account policies by default.
In this case you may want to override the object ACLs which kops places on the state files, as default AWS ACLs will make it possible for an account that has delegated access to write files that the bucket owner can not read.
To do this you should set the environment variable KOPS_STATE_S3_ACL to the
preferred object ACL, for example bucket-owner-full-control.
For available canned ACLs please consult Amazon's S3 documentation.
We're ready to start creating our first cluster! Let's first setup a few environment variables to make this process easier.
export NAME=myfirstcluster.example.com
export KOPS_STATE_STORE=s3://prefix-example-com-state-storeNote: You don’t have to use environmental variables here. You can always define the values using the –name and –state flags later.
We will need to note which availability zones are available to us. In this example we will be deploying our cluster to the us-west-2 region.
aws ec2 describe-availability-zones --region us-west-2Below is a create cluster command. We'll use the most basic example possible, with more verbose examples in advanced creation. The below command will generate a cluster configuration, but not start building it.
kops create cluster \
--zones us-west-2a \
${NAME}All instances created by kops will be built within ASG (Auto Scaling Groups),
which means each instance will be automatically monitored and rebuilt by AWS if
it suffers any failure.
Now we have a cluster configuration, we can look at every aspect that defines our cluster by editing the description.
kops edit cluster ${NAME}This opens your editor (as defined by $EDITOR) and allows you to edit the configuration. The configuration is loaded from the S3 bucket we created earlier, and automatically updated when we save and exit the editor.
We'll leave everything set to the defaults for now, but the rest of the kops
documentation covers additional settings and configuration you can enable.
Now we take the final step of actually building the cluster. This'll take a while. Once it finishes you'll have to wait longer while the booted instances finish downloading Kubernetes components and reach a "ready" state.
kops update cluster ${NAME} --yesRemember when you installed kubectl earlier? The configuration for your
cluster was automatically generated and written to ~/.kube/config for you!
A simple Kubernetes API call can be used to check if the API is online and
listening. Let's use kubectl to check the nodes.
kubectl get nodesYou will see a list of nodes that should match the --zones flag defined
earlier. This is a great sign that your Kubernetes cluster is online and
working.
Also kops ships with a handy validation tool that can be ran to ensure your
cluster is working as expected.
kops validate clusterYou can look at all the system components with the following command.
kubectl -n kube-system get po
We've barely scratched the surface of the capabilities of kops in this guide,
and we recommend researching other interesting
modes to learn more about generating
Terraform configurations, or running your cluster in an HA (Highly Available)
mode.
The cluster spec docs can help to configure these "other interesting modes". Also be sure to check out how to run a private network topology in AWS.
There's an incredible team behind Kops and we encourage you to reach out to the community on the Kubernetes Slack(https://github.com/kubernetes/community#slack-chat). Bring your questions, comments, and requests and meet the people behind the project!
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