In this module, you’ll walk through the steps involved in managing the software deployment, from pre-launch preparation to post-launch monitoring. You’ll start by exploring the difference between deployment and release, along with the key activities involved, such as coordinating CI/CD workflows, handling stakeholder approvals, and planning rollback strategies. Next, you’ll cover the steps involved in planning and validating data migration, a critical part of many projects. This includes mapping data from legacy to new systems, documenting the migration process, and confirming successful transfers using techniques like record counts, checksums, and dry runs. Finally, you’ll be introduced to the processes that happen after deployment, including monitoring system performance, reviewing logs, and supporting continuous improvement. You’ll also outline key metrics and build a maintenance schedule to help ensure long-term system stability. By the end of the module, you’ll have a clear view of the full release cycle and the analyst’s role in making sure systems launch smoothly and continue to meet user and business needs.

In this final module, you’ll bring together all key concepts to build a complete Testing and Release Planning Kit for a fictional software system. This includes defining a testing strategy, validating data migration steps, planning the deployment workflow, and outlining post-release monitoring activities. The capstone simulates what a systems analyst would deliver to support cross-functional software delivery. You’ll tailor your work to a scenario you create, using templates and frameworks introduced in earlier modules. As part of the process, you’ll review success criteria, identify risks and rollback strategies, and ensure the software is prepared for a stable launch and long-term support. This project focuses on coordination, planning, and documentation related to testing, deployment, and post-launch maintenance and not on coding or software development.