Your development teams release new versions of games running on Google Kubernetes Engine (GKE) daily. You want to create service level indicators (SLIs) to evaluate the quality of the new versions from the user's perspective. What should you do?

The correct option is to create Request Latency and Error Rate as service level indicators (SLIs). These metrics directly reflect the user experience. Request Latency measures how quickly the service responds to user requests, and Error Rate indicates how often requests fail. Both are critical for understanding the quality of service from a user's perspective. CPU Utilization and Memory Utilization (whether for general services or GKE-specific) are internal system metrics. While they can indicate potential problems, they don't directly measure user experience. A high CPU utilization might not impact users if latency remains low and errors are absent. Server Uptime is a basic availability metric but doesn't capture the quality of interactions; a server can be "up" but still perform poorly or return errors.