Select a smaller node type to minimize costs and manually adjust the cluster size based on anticipated workload changes, despite the potential for performance bottlenecks during unexpected spikes.

Choose a larger node type to guarantee high performance at all times, accepting higher fixed costs and the risk of underutilization during off-peak periods.

Enable autoscaling with a wide range of minimum and maximum workers to dynamically adjust resources based on actual workload, balancing cost efficiency with performance scalability.

Disable autoscaling and configure the cluster with a fixed number of medium-sized nodes to strike a balance between cost and performance, though this may not fully accommodate workload variability.