How to Deploy Fusion on Amazon Elastic Kubernetes Service (EKS)

Fusion supports deployment on Amazon Elastic Kubernetes Service (EKS). This topic explains how to deploy a Fusion cluster on EKS using the script in the fusion-cloud-native repository.

The script provided in this repo is strictly optional. The script is mainly to help those new to Kubernetes and/or Fusion get started quickly. If you’re already familiar with K8s, Helm, and EKS, then you use Helm directly to install Fusion into an existing cluster or one you create yourself using the process described here.

If you’re new to Amazon Web Services (AWS), then please visit the Amazon Web Services Getting Started Center to set up an account.

If you’re new to Kubernetes and EKS, then we recommend going through Amazon’s EKS Workshop before proceeding with Fusion.

Set up the AWS CLI tools

Before launching an EKS cluster, you need to install and configure kubectl, aws, eksctl, aws-iam-authenticator using the links provided below:

Required AWS Command-line Tools:
  1. kubectl: Install kubectl

  2. aws: Installing the AWS CLI

  3. eksctl: Getting Started with eksctl

  4. aws-iam-authenticator: AWS IAM Authenticator for Kubernetes

Run aws configure to configure a profile for authenticating to AWS. You’ll use the profile name you configure in this step, which defaults to default, as the -p argument to the script in the next section.

When working in Ubuntu, avoid using the eksctl snap version. Alternative sources can have different versions that could cause command failures.

Set up Fusion on EKS

To create a cluster in EKS the following IAM policies are required:

  • AmazonEC2FullAccess

  • AWSCloudFormationFullAccess

Table 1. EKS Permissions








Table 2. VPC Permissions





















Table 3. IAM Permissions

























Download and run the script to install Fusion 5.x in a EKS cluster. To create a new cluster and install Fusion, simply do:

./ -c <cluster_name> -p <aks_resource_group>

If you want the script to create a cluster for you (the default behavior), then you need to pass the --create option with either demo or multi_az. If you don’t want the script to create a cluster, then you need to create a cluster before running the script and simply pass the name of the existing cluster using the -c parameter.

Use the --help option to see full script usage.

WARNING If using Helm V2, the script installs Helm’s tiller component into your EKS cluster with the cluster admin role. If you don’t want this, then please upgrade to Helm v3.

WARNING The script creates a service account that provides S3 read-only permissions to the created pods.

After running the script, proceed to the Verifying the Fusion Installation section below.

EKS cluster overview

The EKS cluster is created using eksctl ( By default it will setup the following resources in your AWS account:

  • A dedicated VPC for the EKS cluster in the specified region with CIDR:

  • 3 Public and 3 Private subnets within the created VPC, each with a /19 CIDR range, along with the corresponding route tables.

  • A NAT gateway in each Public subnet

  • An Auto Scaling Group of the instance type specified by the script, which defaults to m5.2xlarge, with 3 instances spanning the public subnets.

See for more information on the networking setup.

EKS Ingress

The script exposes the Fusion proxy service on an external IP over HTTP. This is done for demo or getting started purposes. However, you’re strongly encouraged to configure a K8s Ingress with TLS termination in front of the proxy service. See:

Upgrade Fusion on EKS

During installation, the script generates a file named eks_<cluster>_<release>_fusion_values.yaml. Use this file to customize Fusion settings. After making changes to this file, run the following command:

./ -c <existing_cluster> -p <aks_resource_group> -r <release> -n <namespace> \
  --values eks_<cluster>_<release>_fusion_values.yaml --upgrade

You will also use the --upgrade option to upgrade to a newer version of Fusion, such as 5.0.2.

To make things easier for you, our setup script creates an upgrade script you can use to perform upgrades, see:


Provide access to the EKS cluster to other users

Initially, only the user that created the Amazon EKS cluster has system:masters permissions to configure the cluster. In order to extend the permissions, a ConfigMap should be created to allow access to IAM users or roles.

For providing these permissions, use the following yaml file as a template, replacing the required values:


apiVersion: v1
kind: ConfigMap
  name: aws-auth
  namespace: kube-system
  mapRoles: |
    - rolearn: <node_instance_role_arn>
      username: system:node:{{EC2PrivateDNSName}}
        - system:bootstrappers
        - system:nodes
  mapUsers: |
    - userarn: arn:aws:iam::<account_id>:user/<username>
      username: <username>
        - system:masters

Use the following command for applying the yaml file: kubectl apply -f aws-auth.yaml

Verifying the Fusion Installation

In this section, we provide some tips on how to verify the Fusion installation. First, let’s review some useful kubectl commands.

Enhance the K8s Command-line Experience

When working with Kubernetes on the command-line, it’s useful to create a shell alias for kubectl, e.g.:

alias k=kubectl

Here is a list of tools we found useful for improving your command-line experience with Kubernetes:

Useful kubectl commands

Set the namespace for kubectl if not using the default:

kubectl config set-context --current --namespace=<NAMESPACE>

This saves you from having to pass -n with every command.

Get a list of running pods: k get pods

Get logs for a pod using a label: k logs –l

Get pod deployment spec and details: k get pods <pod_id> -o yaml

Get details about a pod events: k describe po <pod_id>

Port forward to a specific pod: k port-forward <pod_id> 8983:8983

SSH into a pod: k exec -it <pod_id> — /bin/bash

CPU/Memory usage report for pods: k top pods

Forcefully kill a pod: k delete po <pod_id> --force --grace-period 0

Scale up (or down) a deployment: k scale deployment.v1.apps/<id> --replicas=N

Get a list of pod versions: k get po -o jsonpath='{..image}' | tr -s '' '\n' | sort | uniq

Check Fusion Pods and Services

Once the install script completes, you can check that all pods and services are available using:

kubectl get pods

If all goes well, you should see a list of pods similar to:

NAME                                     READY   STATUS    RESTARTS   AGE
f5-admin-ui-669bb68f74-pjqtw           1/1     Running   0          19h
f5-api-gateway-6f7fdd69d-bt2nc         1/1     Running   0          19h
f5-auth-ui-b4dfd4f6d-f9tb6             1/1     Running   0          19h
f5-classic-rest-service-0              1/1     Running   1          19h
f5-devops-ui-768cf6f55b-wphsw          1/1     Running   0          19h
f5-fusion-admin-5888f54447-hprt6       1/1     Running   0          19h
f5-fusion-indexing-76dfb65dfd-929f4    1/1     Running   0          19h
f5-insights-686464b75b-6pzw5           1/1     Running   0          19h
f5-job-launcher-5d84c859c4-dl7s9       1/1     Running   0          19h
f5-job-rest-server-fb99fcfd7-lmqvd     1/1     Running   0          19h
f5-logstash-0                          1/1     Running   0          19h
f5-ml-model-service-8574b96c68-jqt88   2/2     Running   0          17h
f5-query-pipeline-77956f56f8-22wg7     1/1     Running   0          19h
f5-rest-service-77ff7d45-rbrn4         1/1     Running   0          19h
f5-rpc-service-67b6f4bf49-2d65g        1/1     Running   1          19h
f5-rules-ui-65d59dc5b4-5ntq9           1/1     Running   0          19h
f5-solr-0                              1/1     Running   0          19h
f5-webapps-7d9497c485-bbtg9            1/1     Running   0          19h
f5-zookeeper-0                         1/1     Running   0          19h

The number of pods per deployment / statefulset will vary based on your cluster size and replicaCount settings in your custom values yaml file. Also, don’t worry if you see some pods having been restarted as that just means they were too slow to come up and Kubernetes killed and restarted them. You do want to see at least one pod running for every service. If a pod is not running after waiting a sufficient amount of time, use kubectl logs <pod_id> to see the logs for that pod; to see the logs for previous versions of a pod, use: kubectl logs <pod_id> -p. You can also look at the actions Kubernetes performed on the pod using kubectl describe po <pod_id>.

To see a list of Fusion services, do:

kubectl get svc

For an overview of the various Fusion 5 microservices, see:

Once you’re ready to build a Fusion cluster for production, please see the Fusion 5 Survival Guide PDF in this repo.

Upgrading with Zero Downtime

One of the most powerful features provided by Kubernetes and a cloud-native microservices architecture is the ability to do a rolling update on a live cluster. Fusion 5 allows customers to upgrade from Fusion 5.x.y to a later 5.x.z version on a live cluster with zero downtime or disruption of service.

When Kubernetes performs a rolling update to an individual microservice, there will be a mix of old and new services in the cluster concurrently (only briefly in most cases) and requests from other services will be routed to both versions. Consequently, Lucidworks ensures all changes we make to our service do not break the API interface exposed to other services in the same 5.x line of releases. We also ensure stored configuration remains compatible in the same 5.x release line.

Lucidworks releases minor updates to individual services frequently, so our customers can pull in those upgrades using Helm at their discretion.

To upgrade your cluster at any time, use the --upgrade option with our setup scripts in this repo.

The scripts in this repo automatically pull in the latest chart updates from our Helm repository and deploy any updates needed by doing a diff of your current installation and the latest release from Lucidworks. To see what would be upgraded, you can pass the --dry-run option to the script.

Grafana Dashboards

Get the initial Grafana password from a K8s secret by doing:

kubectl get secret --namespace "${NAMESPACE}" ${RELEASE}-graf-grafana \
  -o jsonpath="{.data.admin-password}" | base64 --decode ; echo

With Grafana, you can either setup a temporary port-forward to a Grafana pod or expose Grafana on an external IP using a K8s LoadBalancer. To define a LoadBalancer, do (replace ${RELEASE} with your Helm release label):

kubectl expose deployment ${RELEASE}-graf-grafana --type=LoadBalancer --name=grafana

You can use kubectl get services --namespace <namespace> to determine when the load balancer is setup and its IP address. Direct your browser to http://<GrafanaIP>:3000 and enter the username admin@localhost and the password that was returned in the previous step.

This will log you into the application. It is recommended that you create another administrative user with a more desirable password.

One of the first things you will want to do is to configure the Prometheus data source in Grafana. Go to the gear icon on the left and then to Data Sources.

Click Add Data Source and then click on Prometheus as the data source type. It will bring you to a page where it will ask for HTTP URL for the Prometheus server.


Import dashboards from monitoring/grafana/*.json