How do you handle load balancing for dynamic microservices in cloud environments?
This question refers to strategies and tools for effective load balancing in cloud environments, especially in dynamic microservices. Because microservices can often scale up or down, effective load balancing is critical for the distribution of requests across instances. The answers should also refer to cloud-native solutions, such as AWS Elastic Load Balancer, Google Cloud Load Balancing, or Azure Load Balancer, service mesh options (like Istio), and API gateways, which deal with load distribution. Also, by referring to adaptive strategies, such as round-robin, least connections, or weighted routing, an answer would reflect how such tools can provide reliability, efficiency, and optimal performance for scalable applications.