Learning Akka (Video 21)

This video tutorial explores cluster metrics and routing strategies, focusing on adaptive load balancing. It explains how cluster metrics report system health and influence routing decisions. The tutorial demonstrates adding a load balancer to a cluster, configuring routers, and creating backend nodes. The video concludes with a working example of a cluster with a router to manage backend nodes.

What strategy does the front end node use to select a back end node?

• Round-robin selection

• Random selection

• Priority-based selection

• First-come, first-served selection

Which of the following is NOT a type of data collected by cluster metrics?

• JVM heap memory usage

• System load average

• Network bandwidth

• CPU utilization

What is the purpose of the adaptive load balancing strategy?

• To prioritize tasks based on their size

• To select nodes based on cluster metrics data

• To randomly distribute tasks among nodes

• To ensure equal distribution of tasks

What is the role of the metric selector in the router configuration?

• To use a mix of heap load and CPU data for routing

• To prioritize nodes based on their geographical location

• To define the type of messages to be routed

• To determine the routing path based on network speed

What is the main function of the back end router in the cluster?

• To distribute tasks based on memory usage

• To handle one message at a time

• To manage the front end node

• To handle multiple messages simultaneously