Google Cloud Digital LeaderDigital transformation with Google CloudHard
A global e-commerce company is experiencing unprecedented traffic spikes during seasonal sales events, leading to performance degradation and customer dissatisfaction. Their current architecture relies on a monolithic application running on a few large virtual machines. They want to modernize their application to handle extreme scale, ensure high availability, and enable faster feature development. Which architectural pattern, combined with a suitable Google Cloud service, would best address these challenges?
- AContent Delivery Network with Cloud CDN.
- BRelational Database with Cloud SQL.
- CMicroservices with Google Kubernetes Engine (GKE).
- DServerless Functions with Cloud Functions.
Show answer & explanationAnswer & explanation
Correct answer: C. Microservices with Google Kubernetes Engine (GKE).
Migrating from a monolithic application to a microservices architecture allows for independent scaling of components and faster development. Google Kubernetes Engine (GKE) is ideal for deploying and managing microservices at extreme scale, providing robust orchestration, auto-scaling, and high availability features.
Why the other options are wrong
- A. Cloud CDN improves content delivery but doesn't address the fundamental architectural issues of a monolithic backend application during traffic spikes.
- B. Cloud SQL addresses database needs but doesn't solve the monolithic application's scaling and development challenges.
- D. While serverless functions offer scalability, a complex e-commerce application might be better suited for a container orchestration platform like GKE for managing multiple interconnected microservices.
Microservices Architecture with GKE
Breaking down a monolithic application into smaller, independent services, deployed and managed on Google Kubernetes Engine for scalability, resilience, and agility.
- Microservices enable independent scaling and development.
- GKE orchestrates containerized microservices.
- Provides auto-scaling, load balancing, and self-healing capabilities.
Memory trick: From monolith to micro, GKE makes it flow.