Cloud migration

When migrating applications to the cloud, huge volumes of data must be moved from one system to another, introducing a great deal of risk into the process. Any small mistake during migration can cause data to be corrupted or go missing. Application components may be migrated to the wrong location, causing applications to break. After migration, software in the cloud may not be compatible with other applications, and integrations with third-party solutions may not function. As a result, servers may fail, systems may go down, and database errors may cause business disruption.

To ensure a smooth cloud migration, software testing is essential to ensure that the applications that have been moved to the cloud are in the right place and that they work as intended.

After a cloud migration, the following tests can help ensure a functional, stable, and secure environment.

• Functional testing determines the production-readiness of apps that have been migrated to the cloud. Testing verifies that key aspects of the migrated applications still perform as intended or that they meet performance levels specified in SLAs. Functional validation can show whether valid inputs generate expected results, whether object references and page layouts work as intended, and whether applications are compatible and integrate with other software, systems, and services.
• Integration testing evaluates whether third-party integrations are still intact and whether applications can communicate seamlessly with other services.
• Security testing is designed to eliminate the risks of running software systems in the cloud. Types of testing includes business process security testing, application transaction security testing, user privacy security testing, data privacy testing, and data security testing.
• Performance testing validates how well an application can scale in this cloud and how cloud migration has affected response time.
• Load testing ensures that migrated applications will continue to operate smoothly during spikes in traffic and at times when user volume is higher than anticipated.

Testing after a cloud migration offers several significant benefits.

• Ensure business continuity. Testing can help ensure that business-critical processes are not disrupted and that every word, number, and bit of data has been moved to the right location.
• Prevent data loss. Testing can help to validate the integrity of legacy databases.
• Protect productivity. Automated testing can help to find and fix mistakes that are the result of migration, ensuring data and content are migrated to the correct destination.
• Reduce costs. Automated testing allows testers to accomplish more with less time, minimizing the total cost of migration.
• Increase security. Testing can help to pinpoint missing security controls or identify compliance configurations that may have been lost, damaged, or destroyed during cloud migration.

Tricentis is the world’s #1 Continuous Testing Platform. Providing a totally automated and fully codeless solution that’s intelligently powered by AI, Tricentis dramatically accelerates digital transformation, application delivery, and cloud migration.

Tricentis supports continuous integration and continuous delivery by accelerating and managing all phases of testing – from unit tests and performance tests to end-to-end testing, black box testing, and white box testing. The Tricentis platform includes solutions for:

• Unified test management. Tricentis qTest provides centralized test management that unifies, manages, and rapidly scales testing across the enterprise.
• Intelligence test automation. Tricentis Tosca optimizes and accelerates end-to-end testing for all enterprise, mobile, and cloud-native applications. Tosca also provides a test management tool that uses service virtualization to make testing easier and less costly.
• Performance testing. Tricentis NeoLoad offers simple and scalable performance testing for everything from APIs and microservices to end-to-end application testing.
• Data integrity testing. Tricentis Data Integrity provides automated end-to-end data integrity testing that works across the entire data landscape to prevent costly issues with data migration, integration, and reporting.