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Environment and Deployment Strategy

This section focuses on the Environment Strategy for an Enterprise deployment of Talend Cloud. Typically an Enterprise deployment of Talend will include:
  • Multiple user personas, each with tools suited to their requirements, such as Pipeline Designer for a Data Scientist, or Talend Studio for a Data Engineer
  • Artifacts developed in Talend Studio requiring a full Enterprise Software Development Life Cycle (SDLC), including Continuous Integration and Continuous Delivery (CI/CD)
  • Multiple teams working on multiple projects in parallel
  • High Availability and Load Balancing
  • Environment specific security / access

For smaller scale or simpler deployments of Talend, see the environment strategy in Appendix: Talend Cloud packaging and simpler deployments.

For Enterprise deployments, Talend recommends a four environments strategy, coupled with an automated approach to building, testing, and deployment:

Environment Strategy

A typical Enterprise deployment of Talend should have four environments: development, test, pre-production and production.

Talend Cloud Platform Products environment strategy diagram.

Deployment Strategy

The following diagram provides an overview of the deployment strategy.

Talend Cloud Platform Products deployment strategy diagram.
Development Environment:
  • Dedicated to Developers. Developers use Talend Studio to design and unit test artifacts.
  • Environment where all development work takes place
  • Artifacts deployed to Talend Cloud from this environment
  • CI/CD combined with a well defined Git workflow, to build, test, deploy, and promote artifacts
Test Environment
  • Dedicated to Integration testing
  • Primarily used to test and validate the artifacts created by the development team
  • No High Availability or Load Balancing - focus is on testing functionality rather than infrastructure or performance
Pre-Production:
  • Should be an exact mirror of the Production environment including High Availability / Load Balancing, representative data and volumes, and so on.
  • Used for UAT testing and Performance Testing
  • Used to test High Availability / Load Balancing patches before application in production
  • Used for attempted replication of production issues
Production:
  • The live environment

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