During high traffic, what action can you take to ensure stock information is updated quickly in a microservice receiving order messages?

Increasing the number of Pod replicas is an effective way to manage high traffic and ensure that stock information is updated quickly in a microservice receiving order messages. By adding more replicas of the Pods, you create additional instances of the service that can handle incoming requests. This approach directly enhances the application’s scalability and resilience, as it allows multiple instances to process order messages concurrently, thereby reducing response times and preventing bottlenecks during peak load periods.

This method of scaling is particularly beneficial in a microservices architecture where services are loosely coupled and can be replicable and stateless. Performing horizontal scaling through additional replicas ensures that there is enough capacity to manage the high traffic without compromising on performance or the timely processing of orders.

While other options offer potential benefits, they do not directly address the issue of increasing capacity to handle messages effectively during high traffic periods. For example, adjusting acknowledgment deadlines or introducing a virtual queue may help manage message flow but would not inherently increase the processing power of the service. Additionally, expanding CPU and memory limits can improve performance up to a point, but without scaling out by increasing replicas, it may not be sufficient to handle sudden spikes in traffic effectively.