A global e-commerce company is experiencing unprecedented traffic spikes during seasonal sales events, leading to performance degradation and customer dissatisfaction. They need a solution that can automatically adjust computing resources to match demand, ensuring high availability and responsiveness without manual intervention, and effectively manage their containerized microservices. Which Google Cloud solution is best suited to address these challenges?
- AManaged Instance Groups (MIGs) on Compute Engine
- BCloud Functions
- CCloud Storage
- DCloud SQL
Show answer & explanationAnswer & explanation
Correct answer: A. Managed Instance Groups (MIGs) on Compute Engine
Managed Instance Groups (MIGs) on Compute Engine allow you to run multiple identical instances of your application, providing autoscaling, auto-healing, and load balancing. This is ideal for handling unpredictable traffic spikes for microservices, ensuring high availability and responsiveness by automatically adjusting resources. While GKE is also an option for microservices, the question emphasizes autoscaling of computing resources for containerized microservices without explicitly mentioning Kubernetes orchestration, making MIGs a strong fit for the 'automatic adjustment' and 'high availability' aspect.
Why the other options are wrong
- B. Cloud Functions are serverless functions, suitable for event-driven tasks, but not for managing and autoscaling a fleet of containerized microservices.
- C. Cloud Storage is an object storage service, not a compute solution for application scaling.
- D. Cloud SQL is a relational database service, not a compute service for managing application instances or handling traffic spikes.
Managed Instance Groups (MIGs)
A Google Cloud Compute Engine feature that manages groups of identical virtual machine instances.
- Provides autoscaling based on demand
- Offers auto-healing to replace failed instances
- Integrates with load balancing for traffic distribution
Memory trick: MIGs 'manage' your instances, 'making' sure they scale up and down.