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  • Welcome to Syntho
  • Overview
    • Get started
      • Syntho bootcamp
        • 1. What is Syntho?
        • 2. Introduction data anonymization
        • 3. Connectors & workspace creation
        • 4. PII scan
        • 5. Generators
          • Mockers
          • Maskers
          • AI synthesize
          • Calculated columns
          • Free text de-identification
        • 6. Referential integrity & foreign keys
        • 7. Workspace synchronization & validation
        • 8. Workspace & user management
        • 9. Large workloads​
        • 10. Data pre-processing
        • 11. Continuous Success
      • Prerequisites
      • Sample datasets
      • Introduction to data generators
    • Frequently asked questions
  • Setup Workspaces
    • View workspaces
    • Create a workspace
      • Connect to a database
        • PostgreSQL
        • MySQL / MariaDB
        • Oracle
        • Microsoft SQL Server
        • DB2
        • Databricks
          • Importing Data into Databricks
        • Hive
        • SAP Sybase
        • Azure Data Lake Storage (ADLS)
        • Amazon Simple Storage Service (S3)
      • Workspace modes
    • Edit a workspace
    • Duplicate a workspace
    • Transfer workspace ownership
    • Share a workspace
    • Delete a workspace
    • Workspace default settings
  • Configure a Data Generation Job
    • Configure table settings
    • Configure column settings
      • AI synthesize
        • Sequence model
          • Prepare your sequence data
        • QA report
        • Additional privacy controls
        • Cross-table relationships limitations
      • Mockers
        • Text
          • Supported languages
        • Numeric (integer)
        • Numeric (decimal)
        • Datetime
        • Other
      • Mask
        • Text
        • Numeric (integer)
        • Numeric (decimal)
        • Datetime
        • UUID
      • Duplicate
      • Exclude
      • Consistent mapping
      • Calculated columns
      • Key generators
        • Differences between key generators
      • JSON de-identification
    • Manage personally identifiable information (PII)
      • Privacy dashboard
      • Discover and de-identify PII columns
        • Identify PII columns manually
        • Automatic PII discovery with PII scanner
      • Remove columns from PII list
      • Automatic PII discovery and de-identification in free text columns
      • Supported PII & PHI entities
    • Manage foreign keys
      • Foreign key inheritance
      • Add virtual foreign keys
        • Add virtual foreign keys
        • Use foreign key scanner
        • Import foreign keys via JSON
        • Export foreign keys via JSON
      • Delete foreign keys
    • Validate and Synchronize workspace
    • View and adjust generation settings
  • Deploy Syntho
    • Introduction
      • Syntho architecture
      • Requirements
        • Requirements for Docker deployments
        • Requirements for Kubernetes deployments
      • Access Docker images
        • Online
        • Offline
    • Deploy Syntho using Docker
      • Preparations
      • Deploy using Docker Compose
      • Run the application
      • Manually saving logs
      • Updating the application
    • Deploy Syntho using Kubernetes
      • Preparations
      • Deploy Ray using Helm
        • Upgrading Ray CRDs
        • Troubleshooting
      • Deploy Syntho using Helm
      • Validate the deployment
      • Troubleshooting
      • Saving logs
      • Upgrading the applications
    • Manage users and access
      • Single Sign-On (SSO) in Azure
      • Manage admin users
      • Manage non-admin users
    • Logs and monitoring
      • Does Syntho collect any data?
      • Temporary data storage by application
  • Syntho API
    • Syntho REST API
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  • Resources
  • Metadata storage using PostgreSQL
  • Redis instance
  • Deployment environment
  • Optional: DNS zone and DNS record for UI
  • Optional: SSL certificate

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  1. Deploy Syntho
  2. Introduction

Requirements

Resources

The server/cluster that you use to deploy Syntho must have the following available resources:

Resource
Specification

CPUs

12-20 virtual CPUs

Memory

32 GB - 64 GB - 128 GB

Disk storage (SSD)

128 GB - 256 GB - 512 GB

OS

Any Linux OS (x86 / x64) capable of running Docker and docker-compose.

* The requirements for the AI cluster depend on the data you will synthesize. Ask your Syntho contact person for a specification of requirements based on your use-case.

Metadata storage using PostgreSQL

The docker compose file and Helm chart will have a PostgreSQL database instance included for storing metadata.

It is also possible to use an external PostgreSQL database. In case an external database is used, two different databases need to be available, but they can be on the same PostgreSQL host. In production environments, we recommend using an external PostgreSQL database.

Redis instance

A Redis instance is included when deploying using docker compose or the Helm chart.

If this is disabled, a Redis instance needs to be created for the Syntho Application to connect to.

Deployment environment

Syntho supports deployments via Docker and Kubernetes. Depending on your chosen option, specific requirements apply:

Optional: DNS zone and DNS record for UI

Optional

Example: syntho.company.com be used for hosting the web interface.

Our backend API will also need to be exposed. An example URL for this would be: backend.syntho.company.com

Optional: SSL certificate

Optional

If the Syntho Application is to be accessed via HTTPS, an SSL certificate is required. This is highly recommended for production environments.

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Last updated 5 months ago

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For deployments with Kubernetes, this can be provided using to handle certificates or by creating a TLS secret and providing the secret to the ingress sections.

Requirements for Docker deployments
Requirements for Kubernetes deployments
cert-manager