Implementation in your environment - 6.3

Talend Software Development Life Cycle Best Practices Guide

EnrichVersion
6.3
EnrichProdName
Talend Big Data
Talend Big Data Platform
Talend Data Fabric
Talend Data Integration
Talend Data Management Platform
Talend Data Services Platform
Talend ESB
Talend MDM Platform
Talend Real-Time Big Data Platform
task
Administration and Monitoring
Deployment
Design and Development
EnrichPlatform
Talend Administration Center
Talend Artifact Repository
Talend CommandLine
Talend Repository Manager
Talend Studio

The following diagram shows how Talend tools can be used and integrated in your own Java fabric, ensuring quick integration and quality of your projects from the beginning to the end of your software life cycle.

The main phases of the Continuous Integration process that are presented in this diagram are the following:

  • 1 and 2 (Subversion): Version and Revision Control

    Committing: Developers design Jobs and Tests in Talend Studio and commit them to Subversion.

    Checking out sources: SVN and or Git are linked to the Continuous Integration server that checks out the Jobs and Tests sources (in the form of .item and .properties files).

  • 3 to 6 (in external Java factory): Maven Build, Continuous Integration and Deployment

    Generating sources: The Talend CI Builder and CommandLine tools generate the SVN/Git sources and pass them to the Continuous Integration server that is used (Jenkins for example).

    Compiling sources : An automated build is launched on the server to compile sources (transformed to Java classes).

    Testing: Automated builds are launched on the server to execute Tests, and the server dashboard allows you to monitor and audit code quality before packaging.

    Packaging and publishing: Once the Tests are executed and the bugs are fixed, items are packaged and published in the Nexus Artifact repository (in the form of .zip files). The versioned release candidate is then deployed to Production.

Continuous Integration ensures a quick, effective, automated and safe deployment to Production.