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 the migration of a mission-critical three-tier enterprise workload from an on-premises data center to Google Cloud. Architectural dependency mapping reveals the following characteristics:
Preliminary testing shows that splitting the application tier in Google Cloud from an on-premises database introduces unacceptable cross-premises network latency.
Which migration sequencing and data synchronization strategy should the cloud architect recommend?
This strategy employs dependency-aware migration wave planning combined with continuous data replication using Change Data Capture (CDC) to migrate tightly coupled tiers without causing cross-premises latency penalties or extended downtime.
Decoupling components that have hard sub-5 ms latency dependencies across a hybrid WAN link inevitably leads to application performance degradation. By keeping dependent tiers within the same migration wave and leveraging continuous CDC data streaming, the architecture minimizes both performance risk and cutover downtime.
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