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A global e-commerce company is experiencing inconsistent performance for its customer-facing application, especially during peak sales events. The application is hosted on Google Cloud and utilizes a microservices architecture. The operations team suspects that certain microservices are being overwhelmed, leading to cascading failures. You need to recommend a strategy to ensure the solution's reliability and prevent these performance bottlenecks. Which Google Cloud service should you advise them to implement to address this issue effectively?
- ACloud CDN for caching static content closer to users.
- BCloud Logging for improved visibility into service performance.
- CCloud Armor for protecting against DDoS attacks and web vulnerabilities.
- DCloud Load Balancing with autoscaling for distributing traffic and scaling resources.
Show answer & explanationAnswer & explanation
Correct answer: D. Cloud Load Balancing with autoscaling for distributing traffic and scaling resources.
Cloud Load Balancing combined with autoscaling is the most effective solution to distribute incoming traffic across multiple instances of microservices and automatically adjust resource capacity based on demand, thereby preventing performance bottlenecks and cascading failures.
Why the other options are wrong
- A. Cloud CDN improves content delivery speed for static assets but does not address performance issues related to dynamic microservices or backend processing.
- B. Cloud Logging provides observability but does not actively prevent performance bottlenecks or scale resources.
- C. Cloud Armor protects against attacks but does not address internal performance bottlenecks or capacity scaling for legitimate traffic.
Cloud Load Balancing & Autoscaling
Cloud Load Balancing distributes user traffic across multiple instances of applications, while autoscaling automatically adds or removes instances based on demand.
- Ensures high availability and fault tolerance.
- Improves application performance by preventing overload.
- Optimizes costs by scaling resources only when needed.
Memory trick: Reliability means balancing the load and scaling up, just like a cloud stretching for more tasks.