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High Availability and Low Latency in Google Cloud
Learn how to tackle the GCP-ACE exam question on high availability and low latency with this detailed walkthrough.
You might think you have a solid grasp on cloud architecture, but when it comes to high availability and low latency, many candidates stumble. This question tests your understanding of deployment strategies that truly meet these requirements.
The question
You are tasked with designing a Google Cloud architecture for a new application that requires high availability and low latency. Which configuration should you choose for deploying your application?
- A: Deploy the application in a single region with multiple instances.
- B: Deploy the application across multiple regions with load balancing.
- C: Deploy the application in a single zone with auto-scaling.
- D: Deploy the application using a monolithic architecture.
Think before you scroll
Consider the implications of each deployment option. High availability means your application remains operational even in the event of a failure, while low latency focuses on quick response times. Weigh how each choice addresses these two key aspects.
The answer
The correct option is B: Deploy the application across multiple regions with load balancing. This configuration distributes traffic effectively and provides redundancy, ensuring high availability and low latency.
Why the other options lose
- A: Deploy the application in a single region with multiple instances. While having multiple instances improves availability within that region, it does not protect against regional failures. If the region goes down, your application becomes unavailable.
- C: Deploy the application in a single zone with auto-scaling. Similar to option A, this approach only provides redundancy within a single zone. It lacks the geographical distribution necessary for high availability and can result in latency issues if the zone has high traffic.
- D: Deploy the application using a monolithic architecture. This option is not suitable for high availability or low latency. Monolithic architectures are typically harder to scale and can create single points of failure, leading to downtime.
The concept behind it
The principle of high availability relies on redundancy and distribution. By deploying across multiple regions, you ensure that if one region fails, others can still serve traffic. Load balancing helps in managing traffic efficiently, reducing latency and enhancing performance.
Exam trap to remember
Always consider geographical distribution for critical applications. If high availability is a priority, think beyond single regions or zones.