Intrigued by the art of cloud architecture? Discover how to design, develop, and manage robust, secure, scalable, and dynamic solutions on Google Cloud as you prepare for the Professional Cloud Architect exam!
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An enterprise is planning to migrate a three-tier web application from an on-premises data center to Google Cloud. Based on workload assessments, the architecture team has chosen a mixed migration approach:
You need to establish a testing and validation protocol to verify the application's functional integrity, scalability, and performance before executing the final production cutover.
Which validation strategy should you implement?
A structured validation and testing protocol is an essential phase in cloud migration that systematically assesses migrated workloads across multiple tiers and strategies. It ensures that workloads rehosted to Compute Engine, replatformed to Cloud SQL, and refactored onto Cloud Run satisfy functional specifications, performance Service Level Objectives (SLOs), and operational readiness criteria prior to cutting over production traffic.
Combining baseline benchmarking, end-to-end functional testing, staged load testing, and migration dry runs directly addresses the challenges associated with combining rehosting, replatforming, and refactoring strategies. It ensures that every tier is rigorously verified for stability and performance.
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