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Your team is developing a web application that will be deployed on Google Kubernetes Engine (GKE). Your CTO expects a successful launch with the application needing to handle the expected load of tens of thousands of users efficiently. The goal is to ensure the application's latency stays below a certain threshold during high traffic periods. What should you do to test the current deployment's ability to maintain low latency under these conditions?
A
Use a load testing tool to simulate the expected number of concurrent users and total requests to your application, and inspect the results.
B
Enable autoscaling on the GKE cluster and enable horizontal pod autoscaling on your application deployments. Send curl requests to your application, and validate if the autoscaling works.
C
Replicate the application over multiple GKE clusters in every Google Cloud region. Configure a global HTTP(S) load balancer to expose the different clusters over a single global IP address.
D
Use Cloud Debugger in the development environment to understand the latency between the different microservices.