Installation on Amazon Web Services via EKS


Overview

This guide covers the installation of CAST Imaging on Amazon Web Services (AWS) Elastic Kubernetes Serviceexternal link (EKS) using Helm charts.

Requirements

  • CAST Imaging Docker images downloaded and available in the registry - these are available as listed in the table below
  • A clone of the appropriate Git repository (https://github.com/CAST-Extend/com.castsoftware.castimaging-v3.kubernetessetupexternal link) branch (i.e. matching the version of CAST Imaging you want to deploy) containing the Helm chart scripts - for example to clone the 3.2.3-funcrel release branch use git clone -b 3.2.3 https://github.com/CAST-Extend/com.castsoftware.castimaging-v3.kubernetessetup
  • A valid CAST Imaging License
  • Optional setup choices:
    • Deploy the Kubernetes Dashboard (https://github.com/kubernetes/dashboardexternal link) to troubleshoot containers and manage the cluster resources.
    • Setup Elastic File Storage for a multi analysis-node deployment (Amazon Elastic Block Store (EBS) is used by default)
    • Use an external PostgreSQL instance (a PostgreSQL instance is provided as a Docker image and will be used by default)

Docker images

CAST Imaging is provided in a set of Docker images as follows:

CAST Imaging component Image name URL
imaging-services Gateway https://hub.docker.com/r/castimaging/gatewayexternal link
imaging-services Control Panel https://hub.docker.com/r/castimaging/admin-centerexternal link
imaging-services SSO Service https://hub.docker.com/r/castimaging/sso-serviceexternal link
imaging-services Auth Service https://hub.docker.com/r/castimaging/auth-serviceexternal link
imaging-services Console https://hub.docker.com/r/castimaging/consoleexternal link
dashboards Dashboards https://hub.docker.com/r/castimaging/dashboardsexternal link
analysis-node Analysis Node https://hub.docker.com/r/castimaging/analysis-nodeexternal link
imaging-viewer ETL https://hub.docker.com/r/castimaging/etl-serviceexternal link
imaging-viewer AI Service https://hub.docker.com/r/castimaging/ai-serviceexternal link
imaging-viewer Viewer Server https://hub.docker.com/r/castimaging/viewerexternal link
imaging-viewer Neo4j https://hub.docker.com/r/castimaging/neo4jexternal link
extend-local-server Extend Proxy https://hub.docker.com/r/castimaging/extend-proxyexternal link
utilities Init Container https://hub.docker.com/r/castimaging/init-utilexternal link

Installation process

Before starting the installation, ensure that your Kubernetes cluster is running, all the CAST Imaging docker images are available in the registry and that helm and kubectl are installed on your system.

Step 1 - EKS environment setup

aws eks update-kubeconfig --region xx-xxxx-x --name my-cluster

Step 2 - Prepare and run the CAST Imaging installation

  • Review and adjust the parameter values in the values.yaml file (located at the root of the cloned Git repository branch) in between the section separated with # marks.
  • Ensure you set the K8SProvider: option to EKS
  • Run helm-install.bat|sh (depending on your base OS) located at the root of the cloned Git repository branch

Step 3 - Setup AWS CloudFront

First get the imaging-services “gateway” service external host name by running kubectl get service -n castimaging-v3 console-gateway-service, which will return similar to: a8ec2379b09fexxxxxxxxx-532570000.us-east-2.elb.amazonaws.com.

Create a new CloudFront entry in the AWS Console by clicking Create distribution:

  • In the Origin block:

    • Set the Origin domain value to the imaging-services “gateway” service external host name, e.g.: _a8ec2379b09fexxxxxxxxx-532570000.us-east-2.elb.amazonaws.com
    • Set Protocol to HTTP only
    • Set HTTP port to 8090
    • Set Name to: castimaging-v3

  • In the Web Application Firewall (WAF) block, select Do not enable security protections

  • In the Settings block:
    • Set IPv6 to Off
    • Set Description (optional): free text description

  • Leave all other settings at their default
  • Click Create distribution button in the bottom right corner to complete the creation process
  • Click the Behaviors tab in the newly created Distribution:
    • Select Default (*) and click Edit:

    • In Viewer protocol policy: select HTTPS only:

    • Save the changes
  • In the General tab for the newly created Distribution ensure that you copy the Distribution domain name value:

  • Now open the values.yaml file (located at the root of the cloned Git repository branch) and update the FrontEndHost variable with the Distribution domain name you copied previously, e.g. https://xxxxxxxxxxx.cloudfront.net
  • Apply the helm chart changes by running helm-upgrade.bat|sh (depending on your base OS) located at the root of the cloned Git repository branch. CAST Imaging will be available at https://xxxxxxxxxxx.cloudfront.netexternal link.

Step 4 - Install Extend Local Server (optional)

If you need to install Extend Local Server as an intermediary placed between CAST Imaging and CAST’s publicly available “Extend” ecosystem https://extend.castsoftware.comexternal link, follow the instructions below.

  • Retrieve the Extend Local Server external IP address by running kubectl get service -n castimaging-v3 extendproxy
  • In values.yaml (located at the root of the cloned Git repository branch), set ExtendProxy.enable to true and update the ExtendProxy.exthostname variable with the external IP address:
ExtendProxy:
    enable: true
    exthostname: EXTERNAL-IP
  • Run helm-upgrade.bat|sh (depending on your base OS) located at the root of the cloned Git repository branch.
  • Review the log of the extendproxy pod to find the Extend Local Server administration URL and API key (these are required for managing Extend Local Server and configuring CAST Imaging to use it - you can find out more about this in Extend Local Server). You can open the log file from the Kubernetes Dashboard (if you have chosen to install it). Alternatively, you can get the extendproxy pod name by running kubectl get pods -n castimaging-v3 then run kubectl logs -n castimaging-v3 castextend-xxxxxxxx to display the log.

Step 5 - Initial start up configuration

When the install is complete, browse to the CloudFront URL and login using the default local admin/admin credentials. You will be prompted to configure:

  • your licensing strategy. Choose either a Named Application strategy (where each application you onboard requires a dedicated license key entered when you perform the onboarding), or a Contributing Developers strategy (a global license key based on the number of users):

License key

  • CAST Extend settings / Proxy settings (if you chose to install Extend Local Server (see Step 4 above) then you now need to input the URL and API key so that CAST Imaging uses it).

CAST Extend settings

As a final check, browse to the URL below and ensure that you have at least one CAST Imaging Node Service, the CAST Dashboards and the CAST Imaging Viewer components listed:

https://xxxxxxxxxxx.cloudfront.net/admin/services

Services

Step 6 - Configure authentication

Out-of-the-box, CAST Imaging is configured to use Local Authentication via a simple username/password system. Default login credentials are provided (admin/admin) with the global ADMIN profile so that installation can be set up initially.

CAST recommends configuring CAST Imaging to use your enterprise authentication system such as LDAP or SAML Single Sign-on instead before you start to onboard applications. See Authentication for more information.

How to start and stop CAST Imaging

Use the following script files (located at the root of the cloned Git repository branch) to stop and start CAST Imaging:

  • Util-ScaleDownAll.bat|sh
  • Util-ScaleUpAll.bat|sh

Optional setup choices

Install Kubernetes Dashboard

To install the Kubernetes Dashboard, run the command below. For more information, please refer to the Kubernetes Dashboard documentation at https://github.com/kubernetes/dashboardexternal link. Note that internet access is required to retrieve the Helm repository from https://kubernetes.github.io/dashboardexternal link.

  • Add the helm repo to your local helm repository
helm repo add kubernetes-dashboard https://kubernetes.github.io/dashboard/
  • Run the helm upgrade
helm upgrade --install kubernetes-dashboard kubernetes-dashboard/kubernetes-dashboard --create-namespace --namespace kubernetes-dashboard
  • For Helm-based installation when kong is being installed by our Helm chart, run:
kubectl -n kubernetes-dashboard port-forward svc/kubernetes-dashboard-kong-proxy 8443:443
  • Access the dashboard via: https://localhost:8443external link
  • Run the following command to generate the access token required for admin login, login to dashboard and select the castimaging-v3 namespace from the dropdown menu to manage the CAST Imaging deployment.
kubectl -n kubernetes-dashboard create token admin-user

Setup Elastic File Storage for multiple analysis-node(s)

All pods will use Amazon Elastic Block Store (EBS) by default. For the console-analysis-node StatefulSet, it is possible to configure EFS (Elastic File Storage based on the efs.csi.aws.com driver) to enable file sharing between analysis nodes, when multiple analysis nodes are required.

Prior to running the initial CAST Imaging installation (detailed above), follow these steps:

  • Create a new EFS file system entry in the AWS Console by clicking Create file system
  • Assign a Name
  • Click Create file system in the bottom right corner
  • In the newly created EFS, click the Access points tab and then Create access point:

  • Enter the following configuration settings:
    • Details:
      • Name: castimaging-shared-datadir
      • Root directory path: /castimaging-shared-datadir
    • Root directory creation permissions:
      • Owner user ID: 10001
      • Owner group ID: 10001
      • Access point permissions: 0777
  • Click Create access point in the bottom right corner
  • Copy the newly created File System ID and Access point ID
  • In the values.yaml located at the root of the cloned Git repository branch, update the EFSsystemID and EFSaccessPointID variables with the values copied previously and then set AnalysisNodeFS.enable to true
  • Update the Security Group of the EFS (check its Network tab) to allow access (inbound rule on NFS port 2049) from the Security Group of the Node Instances/AutoScalingGroup
  • Proceed with the CAST Imaging installation described above

Use an external PostgreSQL instance

If you do not want use the PostgreSQL instance preconfigured in this helm chart, you can disable it and configure an Amazon RDS for PostgreSQL database instead.

  • Setup your Amazon RDS for PostgreSQL database (PostgreSQL 15 - 8GB RAM minimum recommended, e.g. db.m5d.large)
  • RDS must be configured with “Self managed” credentials
  • master username: postgres
  • set a password for the postgres user
  • create a custom-pg15 Parameter Group in order to customize this parameter: rds.force_ssl = 0
  • Once the RDS instance is created, apply the custom-pg15 Parameter Group to it and reboot it.
  • Connect to RDS with the “postgres” superuser and execute this script to create the necessary CAST custom users/database:
CREATE USER operator WITH PASSWORD 'CastAIP';
GRANT rds_superuser TO operator;
CREATE USER guest WITH PASSWORD 'WelcomeToAIP';
GRANT ALL PRIVILEGES ON DATABASE postgres TO operator;
CREATE USER keycloak WITH PASSWORD 'keycloak';
CREATE DATABASE keycloak;
GRANT ALL PRIVILEGES ON DATABASE keycloak TO keycloak;
  • In the values.yaml located at the root of the cloned Git repository branch:
    • Set CastStorageService.enable to false (to disable the PostgreSQL instance server preconfigured by CAST)
    • Set CustomPostgres.enable to true
    • Set the CustomPostgres.host and CustomPostgres.port to match your custom instance host name and port number
  • Proceed with the CAST Imaging installation described above