Keycloak deployment on Kubernetes with Helm charts using an external PostgreSQL database

Prerequisites:

  1. Kubernetes cluster set up and configured.
  2. Helm installed on your Kubernetes cluster.
  3. Basic understanding of Kubernetes concepts like Pods, Deployments, and Services.
  4. Familiarity with Helm charts and templating.

Introduction:

Deploying Keycloak on Kubernetes with an external PostgreSQL database can be challenging, especially when using Helm charts. One common issue is that keycloak deploys with  a default database service when we use Helm chart, making it difficult to integrate with an external database. 

In this article, we’ll explore the problem we encountered while deploying Keycloak on Kubernetes using Helm charts and describe the solution we implemented to seamlessly use an external PostgreSQL database.

Problem:

The primary issue we faced during the deployment of Keycloak on Kubernetes using Helm was the automatic deployment of a default database service. This default service conflicted with our requirement to use an external PostgreSQL database for Keycloak. The Helm chart, by default, would deploy an internal database, making it challenging to configure Keycloak to connect to an external database.

Problem Analysis

  1. Default Database Deployment: The Helm chart for Keycloak automatically deploys an internal PostgreSQL database. This default setup is convenient for simple deployments but problematic when an external database is required.
  2. Configuration Complexity: Customizing the Helm chart to disable the internal database and correctly configure Keycloak to use an external PostgreSQL database requires careful adjustments to the values.yaml file.
  3. Integration Challenges: Ensuring seamless integration with an external PostgreSQL database involves specifying the correct database connection parameters and making sure that these settings are correctly propagated to the Keycloak deployment.
  4. Persistence and Storage: The internal database deployed by default may not meet the persistence and storage requirements for production environments, where an external managed PostgreSQL service is preferred for reliability and scalability.

To address these issues, the following step-by-step guide provides detailed instructions on customizing the Keycloak Helm chart to disable the default database and configure it to use an external PostgreSQL database.

Overview Diagram:

Step-by-Step Guide

Step 1: Setting Up Helm Repository

If you haven’t already added the official Helm charts repository for Keycloak, you can add it using the following command:

helm repo add codecentric https://codecentric.github.io/helm-charts

helm repo update

By adding the official Helm charts repository for Keycloak, you ensure that you have access to the latest charts maintained by the developers. Updating the repository ensures you have the most recent versions of the charts.

Step 2: Customizing Helm Values

Objective: Customize the Keycloak Helm chart to avoid deploying the default database and configure it to use an external PostgreSQL database.

Configure Keycloak for development mode

Create a values.yaml File

  1. Create a new file named values.yaml.
  2. Add the following content to the file 

image:

  # The Keycloak image repository

  repository: quay.io/keycloak/keycloak

  # Overrides the Keycloak image tag whose default is the chart appVersion

  tag: 24.0.3

  # The Keycloak image pull policy

  pullPolicy: IfNotPresent


resources:

  requests:

    cpu: “500m”

    memory: “1024Mi”

  limits:

    cpu: “500m”

    memory: “1024Mi”


args:

  – start-dev

  – –hostname=<url>

  – –hostname-url=<url>

  – –verbose


autoscaling:

  # If `true`, a autoscaling/v2beta2 HorizontalPodAutoscaler resource is created (requires Kubernetes 1.18 or above)

  # Autoscaling seems to be most reliable when using KUBE_PING service discovery (see README for details)

  # This disables the `replicas` field in the StatefulSet

  enabled: false

  # The minimum and maximum number of replicas for the Keycloak StatefulSet

  minReplicas: 1

  maxReplicas: 2


ingress:

  enabled: true

  #hosts:

  #  – <url>

  ssl:

    letsencrypt: true

    cert_secret: <url>

  annotations:

    kubernetes.io/ingress.class: “nginx”

    kubernetes.io/tls-acme: “true”

    cert-manager.io/cluster-issuer: letsencrypt

    cert-manager.io/acme-challenge-type: dns01

    cert-manager.io/acme-dns01-provider: route53

    nginx.ingress.kubernetes.io/proxy-buffer-size: “128k”

    nginx.ingress.kubernetes.io/affinity: “cookie”

    nginx.ingress.kubernetes.io/session-cookie-name: “sticky-cookie”

    nginx.ingress.kubernetes.io/session-cookie-expires: “172800”

    nginx.ingress.kubernetes.io/session-cookie-max-age: “172800”

    nginx.ingress.kubernetes.io/affinity-mode: persistent

    nginx.ingress.kubernetes.io/session-cookie-hash: sha1

  labels: {}

  rules:

    –

      # Ingress host

      host: ‘<url>’

      # Paths for the host

      paths:

        – path: /

          pathType: Prefix

  tls:

    – hosts:

        – <url>

      secretName: “<url>”

      

extraEnv: |

 – name: PROXY_ADDRESS_FORWARDING

   value: “true”

 – name: QUARKUS_THREAD_POOL_MAX_THREADS

   value: “500”

 – name: QUARKUS_THREAD_POOL_QUEUE_SIZE

   value: “500”

 

This configuration file customizes the Keycloak Helm chart to set specific resource requests and limits, ingress settings, and additional environment variables. By setting the args to start Keycloak in development mode, you allow for easier initial setup and testing.

Configuring for Production Mode

  1. Add or replace the following content in values.yaml for production mode:

args:

  – start

  – –hostname=<url>

  – –hostname-url=<url>

  – –verbose

  – –optimized

  – -Dquarkus.http.host=0.0.0.0

  – -Dquarkus.http.port=8080

Note: The production configuration includes optimizations and ensures that Keycloak runs in a stable environment suitable for production workloads. The –optimized flag is added for performance improvements.

Configuring for External Database

  1. Add the following content to values.yaml to use an external PostgreSQL database:

args:

  – start

  – –hostname-url=<url>

  – –verbose

  – –db=postgres

  – –db-url=<jdbc-url>

  – –db-password=${DB_PASSWORD}

  – –db-username=${DB_USER}

 

postgresql:

  enabled: false

This configuration disables the default PostgreSQL deployment by setting postgresql.enabled to false. The database connection arguments are provided to connect Keycloak to an external PostgreSQL database.

Step 3: Deploying Keycloak with PostgreSQL and Custom Themes Using Helm

Objective: Add custom themes to Keycloak and deploy it using Helm.

  1. Add the following to values.yaml to include custom themes:

extraInitContainers: |

  – name: theme-provider

    image: <docker-hub-registry-url>

    imagePullPolicy: IfNotPresent

    command:

      – sh

    args:

      – -c

      – |

        echo “Copying custom theme…”

        cp -R /custom-themes/* /eha-clinic

    volumeMounts:

      – name: custom-theme

        mountPath: /eha-clinic

extraVolumeMounts: |

  – name: custom-theme

    mountPath: /opt/jboss/keycloak/themes/

extraVolumes: |

  – name: custom-theme

    emptyDir: {}

This configuration uses an init container to copy custom themes into the Keycloak container. The themes are mounted at the appropriate location within the Keycloak container, ensuring they are available when Keycloak starts.

Step 4: Configuring Keycloak

Objective: Log in to the Keycloak admin console and configure realms, users, roles, client applications, and other settings.

Access the Keycloak admin console using the URL provided by your ingress configuration.

  1. Log in with the default credentials (admin/admin).
  2. Configure the following according to your application requirements:
  • Realms
  • Users
  • Roles
  • Client applications

The Keycloak admin console allows for comprehensive configuration of all aspects of authentication and authorization, tailored to the needs of your applications.

Step 5: Configuring Custom Themes

Objective: Apply and configure custom themes within the Keycloak admin console.

  1. Log in to the Keycloak admin console using the default credentials (admin/admin).
  2. Navigate to the realm settings and select the “Themes” tab.
  3. Select and configure your custom themes for:
  • Login pages
  • Account pages
  • Email pages

Custom themes enhance the user experience by providing a personalized and branded interface. This step ensures that the authentication experience aligns with your organization’s branding and user interface guidelines.

Conclusion

By following the steps outlined in this article, you can deploy Keycloak with PostgreSQL on Kubernetes using Helm, while also incorporating custom themes to personalize the authentication experience. Leveraging Helm charts simplifies the deployment process, while Keycloak and PostgreSQL offer robust features for authentication and data storage. Integrating custom themes allows you to tailor the authentication pages according to your branding and user interface requirements, ultimately enhancing the user experience and security of your applications.

Frequently Asked Questions (FAQs)

Keycloak is a modern applications and services open-source identity and access management solution. It offers various functionalities such as single sign-on, identity brokering, and social login which help in making user identity management easy as well as application security

Deploying Keycloak on Kubernetes means that you can have an elastic application that can be extended according to the number of users, resistant to failure on case of external services unavailability or internal server crashes; it is also easy to manage, has numerous protocols for authentication mechanisms and connects with different types of external databases.

Helm charts are pre-configured Kubernetes resource packages that simplify the efficient management and deployment of applications on Kubernetes.

To disable the default PostgreSQL database, set postgresql.enabled to false in the values.yaml file.

Provide the necessary database connection parameters in the values.yaml file, including --db-url, --db-password, and --db-username.

You can add custom themes by configuring init containers in the values.yaml file to copy the themes into the Keycloak container and mounting them at the appropriate location.

Table of Contents
Table of Contents
Related Posts
Unlocking Data Insights with Apache Superset

Introduction In today’s data-driven world, having the right tools to analyze and visualize data is crucial for making informed decisions. Organizations rely heavily on actionable

Shopping Basket

Fill Your Requirements


MicroFocus Vertica Analytics Platform delivers speed, scalability, and built-in machine learning that today’s most analytically intensive workloads demand, whether in the Public Clouds, On-Premises, on Hadoop, or any Hybrid combination. Vertica’s SQL Data Warehouse is trusted by the world’s leading data-driven companies, including Cerner, Etsy, Intuit, Uber and more to deliver speed, scale and reliability on mission-critical analytics. Vertica combines the power of a high-performance, massively parallel processing SQL query engine with advanced analytics and machine learning so you can unlock the true potential of your data with no limits and no compromises. We are a certified System Integration and reseller partner of Vertica and have a strategic alliance to develop industry-specific solutions using this Award-winning Columnar Database in the APAC region.

We have extensive experience with the entire product suite having successfully completed over 50 implementations in the USA/Europe/Asia Pacific across different industries and still continue to support a few key customers Globally.

As a Future-ready and complete, enterprise-grade analytics platform, Pyramid is a compelling option for organizations. Pyramid offers an integrated suite for modern Analytics and Business Intelligence requirements. It has a broad range of analytical capabilities, including data wrangling, ad hoc analysis, interactive visualization, analytic dashboards, mobile capabilities and collaboration in a governed infrastructure. It also features an integrated workflow for system-of-record reporting. Its Augmented features such as Smart Discovery, Smart Reporting, Ask Pyramid (NLQ), AI-driven modelling, automatic visualizations and dynamic content offer powerful insights to all users, regardless of skill level and the adaptive augmented analytics platform covers the entire data life cycle out-of-the-box, from ML-based data preparation to automated insights and automated ML model building. Pyramid is especially useful for the customer who is in urgent need to get more value out of their existing SAP BW and SAP HANA investments. Without any data extraction or duplication, Pyramid offers best-in-class functionality and performance that preserves the security and governance inherent in the SAP platform. We are a Strategic System Integration and Reseller partner of Pyramid Analytics.