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Dual-region setup (EKS)

caution

Review our dual-region concept documentation before continuing to understand the current limitations and restrictions of this blueprint setup.

This guide offers a detailed blueprint tutorial for deploying two Amazon Web Services (AWS) Elastic Kubernetes Service (EKS) clusters, tailored explicitly for deploying Camunda 8 and using Terraform, a popular Infrastructure as Code (IaC) tool.

note

This guide requires you to have previously completed or reviewed the steps taken in deploying an EKS cluster with Terraform. If you have no experience with Terraform and Amazon EKS, review this content for the essentials of setting up an Amazon EKS cluster and configuring AWS IAM permissions. This content explains the process of using Terraform with AWS, making it accessible even to those new to Terraform or IaC concepts.

Prerequisites​

Considerations​

This setup provides an essential foundation for setting up Camunda 8 in a dual-region setup. Though it's not tailored for optimal performance, it's a good initial step for preparing a production environment by incorporating IaC tooling.

To try out Camunda 8 or develop against it, consider signing up for our SaaS offering. If you already have two Amazon EKS clusters (peered together) and an S3 bucket, consider skipping to deploy Camunda 8 to the clusters.

For the simplicity of this guide, certain best practices will be provided with links to additional resources, enabling you to explore the topic in more detail.

caution

Following this guide will incur costs on your Cloud provider account, namely for the managed Kubernetes service, running Kubernetes nodes in EC2, Elastic Block Storage (EBS), traffic between regions, and S3. More information can be found on AWS and their pricing calculator as the total cost varies per region.

Outcome​

Completion of this tutorial will result in:

Environment prerequisites​

There are two regions (REGION_0 and REGION_1), each with its own Kubernetes cluster (CLUSTER_0 and CLUSTER_1).

To streamline the execution of the subsequent commands, it is recommended to export multiple environment variables within your terminal. Additionally, it is recommended to manifest those changes for future interactions with the dual-region setup.

  1. Git clone or fork the repository c8-multi-region:
git clone https://github.com/camunda/c8-multi-region.git
  1. The cloned repository and folder aws/dual-region/scripts/ provides a helper script export_environment_prerequisites.sh to export various environment variables to ease the interaction with a dual-region setup. Consider permanently changing this file for future interactions.
  2. You must adjust these environment variable values within the script to your needs.
caution

You have to choose unique namespaces for Camunda 8 installations. The namespace for Camunda 8 installation in the cluster of region 0 (CAMUNDA_NAMESPACE_0), needs to have a different name from the namespace for Camunda 8 installation in the cluster of region 1 (CAMUNDA_NAMESPACE_1). This is required for proper traffic routing between the clusters.

For example, you can install Camunda 8 into CAMUNDA_NAMESPACE_0 in CLUSTER_0, and CAMUNDA_NAMESPACE_1 on the CLUSTER_1, where CAMUNDA_NAMESPACE_0 != CAMUNDA_NAMESPACE_1. Using the same namespace names on both clusters won't work as CoreDNS won't be able to distinguish between traffic targeted at the local and remote cluster.

  1. Execute the script via the following command:
. ./export_environment_prerequisites.sh

The dot is required to export those variables to your shell and not a spawned subshell.

aws/dual-region/scripts/export_environment_prerequisites.sh
loading...

Installing Amazon EKS clusters with Terraform​

Prerequisites​

  1. From your cloned repository, navigate to aws/dual-region/terraform. This contains the Terraform base configuration for the dual-region setup.

Contents elaboration​

config.tf​

This file contains the backend and provider configuration, meaning where to store the Terraform state and which providers to use, their versions, and potential credentials.

The important part of config.tf is the initialization of two AWS providers, as you need one per region and this is a limitation by AWS given everything is scoped to a region.

note

It's recommended to use a different backend than local. Find more information in the Terraform documentation.

caution

Do not store sensitive information (credentials) in your Terraform files.

clusters.tf​

This file is using Terraform modules, which allows abstracting resources into reusable components.

The Camunda provided module is publicly available. It's advisable to review this module before usage.

There are various other input options to customize the cluster setup further. See the module documentation for additional details.

This contains the declaration of the two clusters. One of them has an explicit provider declaration, as otherwise everything is deployed to the default AWS provider, which is limited to a single region.

vpc-peering.tf​

For a multi-region setup, you need to have the virtual private cloud (VPC) peered to route traffic between regions using private IPv4 addresses and not publicly route the traffic and expose it. For more information, review the AWS documentation on VPC peering.

VPC peering is preferred over transit gateways. VPC peering has no bandwidth limit and a lower latency than a transit gateway. For a complete comparison, review the AWS documentation.

The previously mentioned Camunda module will automatically create a VPC per cluster.

This file covers the VPC peering between the two VPCs and allow any traffic between those two by adjusting each cluster's security groups.

s3.tf​

For Elasticsearch, an S3 bucket is required to allow creating and restoring snapshots. There are alternative ways, but since this is focused on AWS, it makes sense to remain within the same cloud environment.

This file covers the declaration of an S3 bucket to use for the backups. Additionally, a service account with access to use within the Kubernetes cluster to configure Elasticsearch to access the S3 bucket.

output.tf​

Terraform outputs allow you to reuse generated values in future steps. For example, the access keys of the service account with S3 access.

variables.tf​

This file contains various variable definitions for both local and input types. The difference is that input variables require you to define the value on execution. While local variables are permanently defined, they are namely for code duplication purposes and readability.

Preparation​

  1. Adjust any values in the variables.tf file to your liking. For example, the target regions and their name or CIDR blocks of each cluster.
  2. Make sure that any adjustments are reflected in your environment prerequisites to ease the in-cluster setup.
  3. Set up the authentication for the AWS provider.
note

The AWS Terraform provider is required to create resources in AWS. You must configure the provider with the proper credentials before using it. You can further change the region and other preferences and explore different authentication methods.

There are several ways to authenticate the AWS provider:

  • (Recommended) Use the AWS CLI to configure access. Terraform will automatically default to AWS CLI configuration when present.
  • Set environment variables AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY, which can be retrieved from the AWS Console.

Execution​

caution

A user who creates resources in AWS will therefore own these resources. In this particular case, the user will always have admin access to the Kubernetes cluster until the cluster is deleted.

Therefore, it can make sense to create an extra AWS IAM user which credentials are used for Terraform purposes.

  1. Open a terminal and navigate to aws/dual-region/terraform.
  2. Initialize the working directory:
terraform init -upgrade
  1. Apply the configuration files:
terraform apply

If you have not set a default value for cluster_name, you will be asked to provide a suitable name.

  1. After reviewing the plan, you can type yes to confirm and apply the changes.

At this point, Terraform will create the Amazon EKS clusters with all the necessary configurations. The completion of this process may require approximately 20-30 minutes.

In-cluster setup​

Now that you have created two peered Kubernetes clusters with Terraform, you will still have to configure various things to make the dual-region work:

Cluster access​

To ease working with two clusters, create or update your local kubeconfig to contain those new contexts. Using an alias for those new clusters allows you to directly use kubectl and Helm with a particular cluster.

Update or create your kubeconfig via the AWS CLI:

# the alias allows for easier context switching in kubectl
aws eks --region $REGION_0 update-kubeconfig --name $CLUSTER_0 --alias $CLUSTER_0
aws eks --region $REGION_1 update-kubeconfig --name $CLUSTER_1 --alias $CLUSTER_1

The region and name must align with the values you have defined in Terraform.

DNS chaining​

This allows for easier communication between the two clusters by forwarding DNS queries from the region 0 cluster to the region 1 cluster and vice versa.

You are configuring the CoreDNS from the cluster in Region 0 to resolve certain namespaces via Region 1 instead of using the in-cluster DNS server. Camunda applications (e.g. Zeebe brokers) to resolve DNS record names of Camunda applications running in another cluster.

CoreDNS configuration​

  1. Expose kube-dns, the in-cluster DNS resolver via an internal load-balancer in each cluster:
kubectl --context $CLUSTER_0 apply -f https://raw.githubusercontent.com/camunda/c8-multi-region/main/aws/dual-region/kubernetes/internal-dns-lb.yml
kubectl --context $CLUSTER_1 apply -f https://raw.githubusercontent.com/camunda/c8-multi-region/main/aws/dual-region/kubernetes/internal-dns-lb.yml
  1. Execute the script generate_core_dns_entry.sh in the folder aws/dual-region/scripts/ of the repository to help you generate the CoreDNS config. Make sure that you have previously exported the environment prerequisites since the script builds on top of it.
./generate_core_dns_entry.sh
  1. The script will retrieve the IPs of the load balancer via the AWS CLI and return the required config change.
  2. The script prints the kubectl edit commands to change the DNS settings of each cluster inline. Copy the statement between the placeholders to edit the CoreDNS configmap in cluster 0 and cluster 1, depending on the placeholder.
    An alternative to inline editing is to create two copies of the file kubernetes/coredns.yml, one for each cluster. Add the section generated by the script to each file. Apply the changes to each cluster with e.g. kubectl --context cluster-london -n kube-system apply -f file.yml. Replace the context parameter with your current values.
Example output
caution

For illustration purposes only. These values will not work in your environment.

./generate_core_dns_entry.sh
Please copy the following between
### Cluster 0 - Start ### and ### Cluster 0 - End ###
and insert it at the end of your CoreDNS configmap in Cluster 0

kubectl --context cluster-london -n kube-system edit configmap coredns

### Cluster 0 - Start ###
    camunda-paris.svc.cluster.local:53 {
        errors
        cache 30
        forward . 10.202.19.54 10.202.53.21 10.202.84.222 {
            force_tcp
        }
    }
### Cluster 0 - End ###

Please copy the following between
### Cluster 1 - Start ### and ### Cluster 1 - End ###
and insert it at the end of your CoreDNS configmap in Cluster 1

kubectl --context cluster-paris -n kube-system edit configmap coredns

### Cluster 1 - Start ###
    camunda-london.svc.cluster.local:53 {
        errors
        cache 30
        forward . 10.192.27.56 10.192.84.117 10.192.36.238 {
            force_tcp
        }
    }
### Cluster 1 - End ###
Full configmap example
caution

For illustration purposes only. This file will not work in your environment.

coredns-cm-london.yml
apiVersion: v1
kind: ConfigMap
metadata:
  labels:
    eks.amazonaws.com/component: coredns
    k8s-app: kube-dns
  name: coredns
  namespace: kube-system
data:
  Corefile: |
    .:53 {
        errors
        health {
            lameduck 5s
          }
        ready
        kubernetes cluster.local in-addr.arpa ip6.arpa {
          pods insecure
          fallthrough in-addr.arpa ip6.arpa
        }
        prometheus :9153
        forward . /etc/resolv.conf
        cache 30
        loop
        reload
        loadbalance
    }
    camunda-paris.svc.cluster.local:53 {
        errors
        cache 30
        forward . 10.202.19.54 10.202.53.21 10.202.84.222 {
            force_tcp
        }
    }
  1. Check that CoreDNS has reloaded for the changes to take effect before continuing. Make sure it contains Reloading complete:
kubectl --context $CLUSTER_0 logs -f deployment/coredns -n kube-system
kubectl --context $CLUSTER_1 logs -f deployment/coredns -n kube-system

Test DNS chaining​

The script test_dns_chaining.sh within the folder aws/dual-region/scripts/ of the repository will help to test that the DNS chaining is working by using nginx pods and services to ping each other.

  1. Execute the test_dns_chaining.sh. Make sure you have previously exported the environment prerequisites as the script builds on top of it.
./test_dns_chaining.sh
  1. Watch how a nginx pod and service will be deployed per cluster. It will wait until the pods are ready and finally ping from nginx in cluster 0 the nginx in cluster 1 and vice versa. If it fails to contact the other nginx five times, it will fail.

Deploy Camunda 8 to the clusters​

Create the secret for Elasticsearch​

Elasticsearch will need an S3 bucket for data backup and restore procedure, required during a regional failback. For this, you will need to configure a Kubernetes secret to not expose those in cleartext.

You can pull the data from Terraform since you exposed those via output.tf.

  1. From the Terraform code location aws/dual-region/terraform, execute the following to export the access keys to environment variables. This will allow an easier creation of the Kubernetes secret via the command line:
export AWS_ACCESS_KEY_ES=$(terraform output -raw s3_aws_access_key)
export AWS_SECRET_ACCESS_KEY_ES=$(terraform output -raw s3_aws_secret_access_key)
  1. From the folder aws/dual-region/scripts of the repository, execute the script create_elasticsearch_secrets.sh. This will use the exported environment variables from Step 1 to create the required secret within the Camunda namespaces. Those have previously been defined and exported via the environment prerequisites.
./create_elasticsearch_secrets.sh
  1. Unset environment variables to reduce the risk of potential exposure. The script is spawned in a subshell and can't modify the environment variables without extra workarounds:
unset AWS_ACCESS_KEY_ES
unset AWS_SECRET_ACCESS_KEY_ES

Camunda 8 Helm chart prerequisites​

Within the cloned repository, navigate to aws/dual-region/kubernetes. This contains a dual-region example setup.

Content elaboration​

Our approach is to work with layered Helm values files:

  • Have a base camunda-values.yml that is generally applicable for both Camunda installations
  • Two overlays that are for region 0 and region 1 installations
camunda-values.yml​

This forms the base layer that contains the basic required setup, which applies to both regions.

Key changes of the dual-region setup:

  • global.multiregion.regions: 2
    • Indicates the use for two regions
  • global.identity.auth.enabled: false
    • Identity is currently not supported. Review the limitations section on the dual-region concept page.
  • global.elasticsearch.disableExporter: true
    • Disables the automatic Elasticsearch configuration of the Helm chart. We will manually supply the values via environment variables.
  • identity.enabled: false
    • Identity is currently not supported.
  • optimize.enabled: false
    • Optimize is currently not supported, and has a dependency on Identity.
  • zeebe.env
    • ZEEBE_BROKER_CLUSTER_INITIALCONTACTPOINTS
      • These are the contact points for the brokers to know how to form the cluster. Find more information on what the variable means in setting up a cluster.
    • ZEEBE_BROKER_EXPORTERS_ELASTICSEARCHREGION0_ARGS_URL
      • The Elasticsearch endpoint for region 0.
    • ZEEBE_BROKER_EXPORTERS_ELASTICSEARCHREGION1_ARGS_URL
      • The Elasticsearch endpoint for region 1.
  • A cluster of eight Zeebe brokers (four in each of the regions) is recommended for the dual-region setup
    • zeebe.clusterSize: 8
    • zeebe.partitionCount: 8
    • zeebe.replicationFactor: 4
  • elasticsearch.initScripts
    • Configures the S3 bucket access via a predefined Kubernetes secret.
region0/camunda-values.yml​

This overlay contains the multi-region identification for the cluster in region 0.

region1/camunda-values.yml​

This overlay contains the multi-region identification for the cluster in region 1.

Preparation​

caution

You must change the following environment variables for Zeebe. The default values will not work for you and are only for illustration.

The base camunda-values.yml in aws/dual-region/kubernetes requires adjustments before installing the Helm chart:

  • ZEEBE_BROKER_CLUSTER_INITIALCONTACTPOINTS
  • ZEEBE_BROKER_EXPORTERS_ELASTICSEARCHREGION0_ARGS_URL
  • ZEEBE_BROKER_EXPORTERS_ELASTICSEARCHREGION1_ARGS_URL
  1. The bash script generate_zeebe_helm_values.sh in the repository folder aws/dual-region/scripts/ helps generate those values. You only have to copy and replace them within the base camunda-values.yml. It will use the exported environment variables of the environment prerequisites for namespaces and regions.
./generate_zeebe_helm_values.sh

# It will ask you to provide the following values
# Enter Zeebe cluster size (total number of Zeebe brokers in both Kubernetes clusters):
## For a dual-region setup we recommend eight, resulting in four brokers per region.
Example output
danger

For illustration purposes only. These values will not work in your environment.

./generate_zeebe_helm_values.sh
Enter Zeebe cluster size (total number of Zeebe brokers in both Kubernetes clusters): 8

Use the following to set the environment variable ZEEBE_BROKER_CLUSTER_INITIALCONTACTPOINTS in the base Camunda Helm chart values file for Zeebe:

- name: ZEEBE_BROKER_CLUSTER_INITIALCONTACTPOINTS
  value: camunda-zeebe-0.camunda-zeebe.camunda-london.svc.cluster.local:26502,camunda-zeebe-0.camunda-zeebe.camunda-paris.svc.cluster.local:26502,camunda-zeebe-1.camunda-zeebe.camunda-london.svc.cluster.local:26502,camunda-zeebe-1.camunda-zeebe.camunda-paris.svc.cluster.local:26502,camunda-zeebe-2.camunda-zeebe.camunda-london.svc.cluster.local:26502,camunda-zeebe-2.camunda-zeebe.camunda-paris.svc.cluster.local:26502,camunda-zeebe-3.camunda-zeebe.camunda-london.svc.cluster.local:26502,camunda-zeebe-3.camunda-zeebe.camunda-paris.svc.cluster.local:26502

Use the following to set the environment variable ZEEBE_BROKER_EXPORTERS_ELASTICSEARCHREGION0_ARGS_URL in the base Camunda Helm chart values file for Zeebe:

- name: ZEEBE_BROKER_EXPORTERS_ELASTICSEARCHREGION0_ARGS_URL
  value: http://camunda-elasticsearch-master-hl.camunda-london.svc.cluster.local:9200

Use the following to set the environment variable ZEEBE_BROKER_EXPORTERS_ELASTICSEARCHREGION1_ARGS_URL in the base Camunda Helm chart values file for Zeebe.

- name: ZEEBE_BROKER_EXPORTERS_ELASTICSEARCHREGION1_ARGS_URL
  value: http://camunda-elasticsearch-master-hl.camunda-paris.svc.cluster.local:9200
  1. As the script suggests, replace the environment variables within camunda-values.yml.

Deploy Camunda 8​

From the terminal context of aws/dual-region/kubernetes, execute the following:

helm install $HELM_RELEASE_NAME camunda/camunda-platform \
  --version $HELM_CHART_VERSION \
  --kube-context $CLUSTER_0 \
  --namespace $CAMUNDA_NAMESPACE_0 \
  -f camunda-values.yml \
  -f region0/camunda-values.yml

helm install $HELM_RELEASE_NAME camunda/camunda-platform \
  --version $HELM_CHART_VERSION \
  --kube-context $CLUSTER_1 \
  --namespace $CAMUNDA_NAMESPACE_1 \
  -f camunda-values.yml \
  -f region1/camunda-values.yml

Verify Camunda 8​

  1. Open a terminal and port-forward the Zeebe Gateway via kubectl from one of your clusters. Zeebe is stretching over both clusters and is active-active, meaning it doesn't matter which Zeebe Gateway to use to interact with your Zeebe cluster.
kubectl --context "$CLUSTER_0" -n $CAMUNDA_NAMESPACE_0 port-forward services/$HELM_RELEASE_NAME-zeebe-gateway 8080:8080
  1. Open another terminal and use e.g. cURL to print the Zeebe cluster topology:
curl -L -X GET 'http://localhost:8080/v2/topology' \
  -H 'Accept: application/json'
  1. Make sure that your output contains all eight brokers from the two regions:
Example output
{
  "brokers": [
    {
      "nodeId": 0,
      "host": "camunda-zeebe-0.camunda-zeebe.camunda-london",
      "port": 26501,
      "partitions": [
        {
          "partitionId": 1,
          "role": "follower",
          "health": "healthy"
        },
        {
          "partitionId": 6,
          "role": "follower",
          "health": "healthy"
        },
        {
          "partitionId": 7,
          "role": "follower",
          "health": "healthy"
        },
        {
          "partitionId": 8,
          "role": "follower",
          "health": "healthy"
        }
      ],
      "version": "8.6.0"
    },
    {
      "nodeId": 1,
      "host": "camunda-zeebe-0.camunda-zeebe.camunda-paris",
      "port": 26501,
      "partitions": [
        {
          "partitionId": 1,
          "role": "follower",
          "health": "healthy"
        },
        {
          "partitionId": 2,
          "role": "leader",
          "health": "healthy"
        },
        {
          "partitionId": 7,
          "role": "follower",
          "health": "healthy"
        },
        {
          "partitionId": 8,
          "role": "follower",
          "health": "healthy"
        }
      ],
      "version": "8.6.0"
    },
    {
      "nodeId": 2,
      "host": "camunda-zeebe-1.camunda-zeebe.camunda-london",
      "port": 26501,
      "partitions": [
        {
          "partitionId": 1,
          "role": "follower",
          "health": "healthy"
        },
        {
          "partitionId": 2,
          "role": "follower",
          "health": "healthy"
        },
        {
          "partitionId": 3,
          "role": "leader",
          "health": "healthy"
        },
        {
          "partitionId": 8,
          "role": "follower",
          "health": "healthy"
        }
      ],
      "version": "8.6.0"
    },
    {
      "nodeId": 3,
      "host": "camunda-zeebe-1.camunda-zeebe.camunda-paris",
      "port": 26501,
      "partitions": [
        {
          "partitionId": 1,
          "role": "follower",
          "health": "healthy"
        },
        {
          "partitionId": 2,
          "role": "follower",
          "health": "healthy"
        },
        {
          "partitionId": 3,
          "role": "follower",
          "health": "healthy"
        },
        {
          "partitionId": 4,
          "role": "leader",
          "health": "healthy"
        }
      ],
      "version": "8.6.0"
    },
    {
      "nodeId": 4,
      "host": "camunda-zeebe-2.camunda-zeebe.camunda-london",
      "port": 26501,
      "partitions": [
        {
          "partitionId": 2,
          "role": "follower",
          "health": "healthy"
        },
        {
          "partitionId": 3,
          "role": "follower",
          "health": "healthy"
        },
        {
          "partitionId": 4,
          "role": "follower",
          "health": "healthy"
        },
        {
          "partitionId": 5,
          "role": "leader",
          "health": "healthy"
        }
      ],
      "version": "8.6.0"
    },
    {
      "nodeId": 5,
      "host": "camunda-zeebe-2.camunda-zeebe.camunda-paris",
      "port": 26501,
      "partitions": [
        {
          "partitionId": 3,
          "role": "follower",
          "health": "healthy"
        },
        {
          "partitionId": 4,
          "role": "follower",
          "health": "healthy"
        },
        {
          "partitionId": 5,
          "role": "follower",
          "health": "healthy"
        },
        {
          "partitionId": 6,
          "role": "follower",
          "health": "healthy"
        }
      ],
      "version": "8.6.0"
    },
    {
      "nodeId": 6,
      "host": "camunda-zeebe-3.camunda-zeebe.camunda-london",
      "port": 26501,
      "partitions": [
        {
          "partitionId": 4,
          "role": "follower",
          "health": "healthy"
        },
        {
          "partitionId": 5,
          "role": "follower",
          "health": "healthy"
        },
        {
          "partitionId": 6,
          "role": "leader",
          "health": "healthy"
        },
        {
          "partitionId": 7,
          "role": "leader",
          "health": "healthy"
        }
      ],
      "version": "8.6.0"
    },
    {
      "nodeId": 7,
      "host": "camunda-zeebe-3.camunda-zeebe.camunda-paris",
      "port": 26501,
      "partitions": [
        {
          "partitionId": 5,
          "role": "follower",
          "health": "healthy"
        },
        {
          "partitionId": 6,
          "role": "follower",
          "health": "healthy"
        },
        {
          "partitionId": 7,
          "role": "follower",
          "health": "healthy"
        },
        {
          "partitionId": 8,
          "role": "leader",
          "health": "healthy"
        }
      ],
      "version": "8.6.0"
    }
  ],
  "clusterSize": 8,
  "partitionsCount": 8,
  "replicationFactor": 4,
  "gatewayVersion": "8.6.0"
}