Hands-on Introduction to Kubernetes Resource Recommendations (KRR)

Explore a hands-on introduction to Kubernetes Resource Recommendations (KRR) in this 54-minute video from Rawkode Academy. Learn about Robusta KRR, a CLI tool designed to optimize resource allocation in Kubernetes clusters by gathering pod usage data from Prometheus and recommending CPU and memory requests and limits. Discover how KRR can reduce costs and improve performance without requiring an agent in your cluster. Gain insights into Prometheus integration, extensible strategies for resource calculations, and upcoming features for custom resources and metrics. Understand the potential for significant cost savings, with statistics showing average unused CPU and memory in Kubernetes clusters. Dive into topics such as challenges with Kubernetes, tradeoffs, proprietary tools, overprovisioning, scheduling concerns, and the future of KRR. Explore memory allocation, container IOPS, and other crucial aspects of Kubernetes resource management.

Introduction
Welcome
What is Robust
Challenges with Kubernetes
Tradeoffs
Why KRR
Proprietary Tools
KRR vs VP
Overprovisioning
Scheduling Concerns
Other Strategies
Scaling KRR
Future of KRR
Memory Allocation
Container IOPS
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