Transitioning operations to a cloud infrastructure is a challenge that firms face on their digital transformation journey. Cloud-driven modernisation in the financial services space involves migrating core parts of the enterprise-grade IT infrastructure, such as the data repository. It entails fundamental changes in the system’s business logic and architecture, data flows, the Data Base Management System (DBMS) functionality, warehouse operation, as well as the dependencies. The process demands alignment, coordination and careful planning within the organisation.

However, setting up the right migration strategy is only half the challenge: implementing it with no data loss or redundancies and with minimal performance issues in production is what a trading, clearing/settlement or core banking platform operator is looking to achieve. Developing end-to-end software testing expertise at an early stage of the cloud migration design and planning helps ensure the quality and reliability of the new cloud infrastructure.

Ahead of the migration, it is also crucial to thoroughly assess and understand the technology characteristics of your preferred cloud provider, as there are differences between operators. This step helps shape the underlying processes going forward and give an understanding of the level and extent of software testing able to support the transition.

This case study features examples of technology stacks for enterprise data warehouse migrations to the Amazon Web Services (AWS), Google Cloud Platform (GCP), Microsoft Azure and Oracle Cloud Infrastructure (OCI) environments. The testing approaches proposed are similar for these and other cloud services providers.

Read more at https://bit.ly/3O6owic