Google Cloud Digital LeaderDigital transformation with Google CloudMedium
A global e-commerce company is experiencing unprecedented traffic spikes during seasonal sales events, leading to performance bottlenecks and outages with their existing on-premises infrastructure. They are undergoing a digital transformation to move their customer-facing applications to Google Cloud. The critical requirement is to automatically scale their application frontend and backend services to handle millions of concurrent users without manual intervention, while maintaining high availability and low latency. Which Google Cloud solution would be most effective?
- ACloud Storage for static content hosting
- BCloud Functions for event-driven microservices
- CCompute Engine with managed instance groups
- DCloud Spanner for global database scaling
Show answer & explanationAnswer & explanation
Correct answer: C. Compute Engine with managed instance groups
Compute Engine with managed instance groups provides robust auto-scaling capabilities for virtual machines, allowing the application frontend and backend to automatically adjust to fluctuating traffic loads. This ensures high availability and performance during traffic spikes without manual intervention.
Why the other options are wrong
- A. Cloud Storage hosts static content but does not provide the compute power or auto-scaling for dynamic application services.
- B. Cloud Functions are for event-driven, short-lived serverless functions, not typically for hosting an entire customer-facing application frontend and backend that requires sustained compute resources during traffic spikes.
- D. Cloud Spanner is a database solution, addressing data consistency and global scaling, but not the application's compute scaling itself.
Managed Instance Groups (MIGs)
A Google Compute Engine feature that allows you to operate multiple identical virtual machine instances as a single entity, with autohealing, load balancing, and autoscaling capabilities.
- Automatically scales the number of instances up or down based on demand.
- Ensures high availability by automatically recreating failed instances.
- Integrates with load balancers for distributing traffic.
Memory trick: MIGs manage instances, scaling with ease and resistance.