Cloud-Native Microservices With Kubernetes - 2nd Edition

Key Takeaways

Even though there are many concepts to digest in this chapter, we can consider the following to be the key takeaways:

• The Vertical Pod Autoscaler is a Kubernetes component that automatically adjusts the CPU and memory requests and limits of Pods based on their actual usage.

• It operates in different modes: Auto, Initial, Recreate, and Off, each with its own behavior for updating Pod resources.

• The VPA Recommender uses statistical models to analyze historical resource usage data and generate recommendations for optimal CPU and memory requests. You can trust these recommendations in most cases.