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  • Immuta Documentation - 2024.2
  • What is Immuta?
  • Self-Managed Deployment
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      • Managed Public Cloud
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      • Deploy Immuta without Elasticsearch
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      • Phased Snowflake Onboarding Concept Guide
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      • Getting Started
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        • Configure a Databricks Unity Catalog Integration
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      • Databricks Unity Catalog Integration Reference Guide
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            • Python & SQL
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        • Databricks Change Data Feed
        • Databricks Libraries Introduction
        • Delta Lake API
        • Spark Direct File Reads
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    • Starburst (Trino)
      • Getting Started
      • How-to Guides
        • Configure Starburst (Trino) Integration
        • Customize Read and Write Access Policies for Starburst (Trino)
      • Starburst (Trino) Integration Reference Guide
    • Redshift
      • Getting Started
      • How-to Guides
        • Configure Redshift Integration
        • Configure Redshift Spectrum
      • Reference Guides
        • Redshift Integration
        • Redshift Pre-Configuration Details
    • Azure Synapse Analytics
      • Getting Started
      • Configure Azure Synapse Analytics Integration
      • Reference Guides
        • Azure Synapse Analytics Integration
        • Azure Synapse Analytics Pre-Configuration Details
    • Amazon S3
    • Google BigQuery
    • Legacy Integrations
      • Securing Hive and Impala Without Sentry
      • Enabling ImmutaGroupsMapping
    • Registering Metadata
      • Data Sources in Immuta
      • Register Data Sources
        • Create a Data Source
        • Create an Amazon S3 Data Source
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        • Bulk Create Snowflake Data Sources
      • Data Source Settings
        • How-to Guides
          • Manage Data Sources and Data Source Settings
          • Manage Data Source Members
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          • Disable Immuta from Sampling Raw Data
        • Data Source Health Checks Reference Guide
      • Schema Monitoring
        • How-to Guides
          • Run Schema Monitoring and Column Detection Jobs
          • Manage Schema Monitoring
        • Reference Guides
          • Schema Monitoring
          • Schema Projects
        • Why Use Schema Monitoring?
    • Catalogs
      • Getting Started with External Catalogs
      • Configure an External Catalog
      • Reference Guides
        • External Catalogs
        • Custom REST Catalogs
          • Custom REST Catalog Interface Endpoints
    • Tags
      • How-to Guides
        • Create and Manage Tags
        • Add Tags to Data Sources and Projects
      • Tags Reference Guide
  • People
    • Getting Started
    • Identity Managers (IAMs)
      • How-to Guides
        • Microsoft Entra ID
        • Okta LDAP Interface
        • Okta and OpenID Connect
        • Integrate Okta SAML SCIM with Immuta
        • OneLogin with OpenID
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      • Reference Guides
        • Identity Managers
        • SAML Single Logout
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        • Managing Personas and Permissions
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    • Getting Started
    • Introduction
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      • How-to Guides
        • Enable Sensitive Data Discovery (SDD)
        • Manage Identification Frameworks
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      • Reference Guides
        • How Competitive Pattern Analysis Works
        • Built-in Pattern Reference
        • Built-in Discovered Tags Reference
    • Data Classification
      • How-to Guides
        • Activate Classification Frameworks
        • Adjust Identification and Classification Framework Tags
        • How to Use a Built-In Classification Framework with Your Own Tags
      • Built-in Classification Frameworks Reference Guide
  • Detect Your Activity
    • Getting Started
      • Monitor and Secure Sensitive Data Platform Query Activity
        • User Identity Best Practices
        • Integration Architecture
        • Snowflake Roles Best Practices
        • Register Data Sources
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        • Detect with Discover: Onboarding Guide
        • Using Immuta Detect
      • General Immuta Configuration
        • User Identity Best Practices
        • Integration Architecture
        • Databricks Roles Best Practices
        • Register Data Sources
    • Introduction
    • Audit
      • How-to Guides
        • Export Audit Logs to S3
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        • Run Governance Reports
      • Reference Guides
        • Universal Audit Model (UAM)
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        • Starburst (Trino) Query Audit Logs
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      • Deprecated Audit Guides
        • Legacy to UAM Migration
        • Download Audit Logs
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    • Detection
      • Use the Detect Dashboards
      • Reference Guides
        • Detect
        • Detect Dashboards
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    • Monitors
      • Manage Monitors and Observations
      • Detect Monitors Reference Guide
  • Secure Your Data
    • Getting Started with Secure
      • Automate Data Access Control Decisions
        • The Two Paths: Orchestrated RBAC and ABAC
        • Managing User Metadata
        • Managing Data Metadata
        • Author Policy
        • Test and Deploy Policy
      • Compliantly Open More Sensitive Data for ML and Analytics
        • Managing User Metadata
        • Managing Data Metadata
        • Author Policy
      • Federated Governance for Data Mesh and Self-Serve Data Access
        • Defining Domains
        • Managing Data Products
        • Managing Data Metadata
        • Apply Federated Governance
        • Discover and Subscribe to Data Products
    • Introduction
      • Scalability and Evolvability
      • Understandability
      • Distributed Stewardship
      • Consistency
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    • Authoring Policies in Secure
      • Authoring Policies at Scale
      • Data Engineering with Limited Policy Downtime
      • Subscription Policies
        • How-to Guides
          • Author a Subscription Policy
          • Author an ABAC Subscription Policy
          • Subscription Policies Advanced DSL Guide
          • Author a Restricted Subscription Policy
          • Clone, Activate, or Stage a Global Policy
        • Reference Guides
          • Subscription Policies
          • Subscription Policy Access Types
          • Advanced Use of Special Functions
      • Data Policies
        • Overview
        • How-to Guides
          • Author a Masking Data Policy
          • Author a Minimization Policy
          • Author a Purpose-Based Restriction Policy
          • Author a Restricted Data Policy
          • Author a Row-Level Policy
          • Author a Time-Based Restriction Policy
          • Certifications Exemptions and Diffs
          • External Masking Interface
        • Reference Guides
          • Data Policy Types
          • Masking Policies
          • Row-Level Policies
          • Custom WHERE Clause Functions
          • Data Policy Conflicts and Fallback
          • Custom Data Policy Certifications
          • Orchestrated Masking Policies
    • Domains
      • Getting Started with Domains
      • Domains Reference Guide
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        • Getting Started
        • How-to Guides
          • Create a Project
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          • Adjust a Policy
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        • Reference Guides
          • Projects and Purposes
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        • Why Use Purposes?
      • Equalized Access
        • Manage Project Equalization
        • Project Equalization Reference Guide
        • Why Use Project Equalization?
      • Masked Joins
        • Enable Masked Joins
        • Why Use Masked Joins?
      • Writing to Projects
        • How-to Guides
          • Create and Manage Snowflake Project Workspaces
          • Create and Manage Databricks Project Workspaces
          • Write Data to the Workspace
        • Reference Guides
          • Project Workspaces
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    • Data Consumers
      • Subscribe to a Data Source
      • Query Data
        • Querying Snowflake Data
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      • Subscribe to Projects
  • Application Settings
    • How-to Guides
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      • BI Tools
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        • Power BI Configuration Example
        • Tableau Configuration Example
      • Add a License Key
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      • Manage Encryption Keys
      • System Status Bundle
    • Reference Guides
      • Data Processing, Encryption, and Masking Practices
      • Metadata Ingestion
  • Releases
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    • Immuta CLI Release Notes
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    • Preview Features
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  • Developer Guides
    • The Immuta CLI
      • Install and Configure the Immuta CLI
      • Manage Your Immuta Tenant
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        • Manage Sensitive Data Discovery Rules
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    • The Immuta API
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          • Configure an Amazon S3 Integration
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          • Configure a Databricks Unity Catalog Integration
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      • Immuta V2 API
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        • Create Policies API Examples
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      • Immuta V1 API
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          • Manage Tags
          • Manage Webhooks
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        • Connect Your Data
          • Create and Manage an Amazon S3 Data Source
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          • Create a Presto Data Source
          • Create a Redshift Data Source
          • Create a Snowflake Data Source
          • Create a Starburst (Trino) Data Source
          • Manage the Data Dictionary
        • Manage Data Access
          • Manage Access Requests
          • Manage Data and Subscription Policies
          • Manage Domains
          • Manage Write Policies
            • Write Policies Payloads and Response Schema Reference Guide
          • Policy Handler Objects
          • Search Audit Logs
          • Search Connection Strings
          • Search for Organizations
          • Search Schemas
        • Subscribe to and Manage Data Sources
        • Manage Projects and Purposes
          • Manage Projects
          • Manage Purposes
        • Generate Governance Reports
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Copyright © 2014-2025 Immuta Inc. All rights reserved.

On this page
  • Considerations
  • Authenticate with OCI registry
  • Setup
  • Elasticsearch
  • PostgreSQL
  • Install Immuta
  • Validation
  • Next steps

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  1. Self-Managed Deployment
  2. Install

Generic Installation

Last updated 15 days ago

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This is a generic guide that demonstrates how to deploy Immuta into any Kubernetes cluster without dependencies on any particular cloud provider.

Considerations

For the purposes of this guide, the following state stores are deployed in Kubernetes using third-party Helm charts maintained by :

Running production-grade stateful workloads (e.g., databases) in Kubernetes is difficult and heavily discouraged due to the following reasons.

  • Operational overhead: Managing PostgreSQL and Elasticsearch on Kubernetes requires expertise in deploying, maintaining, and scaling these databases and search engines effectively. This involves tasks like setting up monitoring, configuring backups, managing updates, and ensuring high availability. Cloud-managed services abstract much of this operational burden away, allowing teams to focus on application development rather than infrastructure management.

  • Resource allocation and scaling: Kubernetes requires careful resource allocation and scaling decisions to ensure that PostgreSQL and Elasticsearch have sufficient CPU, memory, and storage. Properly sizing these resources can be challenging and may require continuous adjustments as workload patterns change. Managed services typically handle this scaling transparently and can automatically adjust based on demand.

  • Data integrity and high availability: PostgreSQL and Elasticsearch deployments need robust strategies for data integrity and high availability. Kubernetes can facilitate high availability through pod replicas and distributed deployments, but ensuring data consistency and durability across database instances and search indexes requires careful consideration and often additional tooling.

  • Performance: Kubernetes networking and storage configurations can introduce performance overhead compared to native cloud services. For latency-sensitive applications or high-throughput workloads, these factors become critical in maintaining optimal performance.

  • Observability: Troubleshooting issues in a Kubernetes environment, especially related to database and search engine performance, can be complex. Managed services typically come with built-in monitoring, logging, and alerting capabilities tailored to the specific service, making it easier to identify and resolve issues.

  • Security and compliance: Kubernetes environments require careful attention to security best practices, including network policies, access controls, and encryption. Managed services often come pre-configured with security features and compliance certifications, reducing the burden on teams to implement and maintain these measures.

Authenticate with OCI registry

Helm chart availability

The deprecated Immuta Helm chart (IHC) is not available from ocir.immuta.com.

Copy the snippet below and replace the placeholder text with the credentials provided to you by your customer success manager:

echo <token> | helm registry login --password-stdin --username <username> ocir.immuta.com

Setup

  1. Create a Kubernetes namespace named immuta for Immuta and its third-party dependencies.

    kubectl create namespace immuta
  2. Switch to namespace immuta.

    kubectl config set-context --current --namespace=immuta
  3. kubectl create secret docker-registry immuta-oci-registry \
        --docker-server=https://ocir.immuta.com \
        --docker-username="<username>" \
        --docker-password="<token>" \
        --docker-email=support@immuta.com

Elasticsearch

  1. Create a Helm values file named es-values.yaml with the following content:

    master:
        masterOnly: false
        replicaCount: 1
    
    data:
        replicaCount: 0
    
    coordinating:
        replicaCount: 0
    
    ingest:
        replicaCount: 0
  2. Deploy Elasticsearch.

    helm install es-db oci://registry-1.docker.io/bitnamicharts/elasticsearch \
        --values es-values.yaml

PostgreSQL

  1. Create a Helm values file named pg-values.yaml with the following content:

    auth:
        database: immuta
        username: immuta
        password: <postgres-password>
  2. Deploy PostgreSQL.

    helm install pg-db oci://registry-1.docker.io/bitnamicharts/postgresql \
        --values pg-values.yaml
  3. Wait for all pods in the namespace to become ready.

    kubectl wait --for=condition=Ready pods --all
  4. Determine the name of the PostgreSQL database pod. This will be referenced in a subsequent step.

    kubectl get pod --selector "app.kubernetes.io/name=postgresql" --output template='{{ .metadata.name }}'
  5. Exec into the PostgreSQL database pod using the psql command and immuta user to configure the PostgreSQL user used by Immuta.

    kubectl exec --stdin --tty pod/<database-pod-name> -- psql -U immuta
  6. Alter the search_path for the immuta user.

    ALTER ROLE immuta SET search_path TO bometadata,public;
  7. Enable the pgcrypto extension.

    CREATE EXTENSION pgcrypto;
  8. Type \q then press Enter to exit.

Install Immuta

This section demonstrates how to deploy Immuta using the Immuta Enterprise Helm chart once the prerequisite local services are configured.

  1. Create a Helm values file named immuta-values.yaml with the following content:

    global:
      imageRegistry: ocir.immuta.com
      imagePullSecrets:
        - name: immuta-oci-registry
      imageRepositoryMap:
        immuta/immuta-service: stable/immuta-service
        immuta/immuta-db: stable/immuta-db
        immuta/immuta-fingerprint: stable/immuta-fingerprint
        immuta/audit-service: stable/audit-service
        immuta/audit-export-cronjob: stable/audit-export-cronjob
        immuta/classify-service: stable/classify-service
        immuta/cache: stable/cache
    
    audit:
      config:
        # Each Kubernetes Service has a DNS record associated with it. See: https://kubernetes.io/docs/concepts/services-networking/dns-pod-service/
        # The anatomy of a domain name is as follows:
        #   <service>.<namespace>.svc.<cluster-domain>
        #
        # Where the default cluster domain is: cluster.local
        databaseConnectionString: postgres://immuta:<postgres-password>@pg-db-postgresql.immuta.svc.cluster.local:5432/immuta?schema=audit
        elasticsearchEndpoint: http://es-db-elasticsearch.immuta.svc.cluster.local:9200
        elasticsearchUsername: <elasticsearch-username>
        elasticsearchPassword: <elasticsearch-password>
    
    secure:
      ingress:
        enabled: false
      extraEnvVars:
        - name: FeatureFlag_AuditService
          value: "true"
        - name: FeatureFlag_detect
          value: "true"
        - name: FeatureFlag_auditLegacyViewHide
          value: "true"
    
      postgresql:
        # Each Kubernetes Service has a DNS record associated with it. See: https://kubernetes.io/docs/concepts/services-networking/dns-pod-service/
        # The anatomy of a domain name is as follows:
        #   <service>.<namespace>.svc.<cluster-domain>
        #
        # Where the default cluster domain is: cluster.local
        host: pg-db-postgresql.immuta.svc.cluster.local
        port: 5432
        database: immuta
        username: immuta
        password: <postgres-password>
  2. Deploy Immuta.

    helm install immuta oci://ocir.immuta.com/stable/immuta-enterprise \
        --values immuta-values.yaml \
        --version 2024.2.18

Validation

  1. Wait for all pods in the namespace to become ready.

    kubectl wait --for=condition=Ready pods --all
  2. Determine the name of the Secure service.

    kubectl get service --selector "app.kubernetes.io/component=secure" --output template='{{ .metadata.name }}'
  3. Listen on local port 8080, forwarding TCP traffic to the Secure service's port named http.

    kubectl port-forward service/<name> 8080:http
  4. Navigate to http://localhost:8080 in a web browser.

Next steps

Create a container registry pull secret. Your credentials to authenticate with ocir.immuta.com can be viewed in your user profile at .

Update all in the pg-values.yaml file.

Update all in the immuta-values.yaml file.

to complete your installation and access your Immuta application.

to secure your Ingress by specifying a Secret that contains a TLS private key and certificate.

.

Bitnami
Elasticsearch
PostgreSQL
support.immuta.com
placeholder values
placeholder values
Configure Ingress
Configure TLS
Learn more about best practices for Immuta in Production