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1
Introduction
2
Welcome
3
What is Robust
4
Challenges with Kubernetes
5
Tradeoffs
6
Why KRR
7
Proprietary Tools
8
KRR vs VP
9
Overprovisioning
10
Scheduling Concerns
11
Other Strategies
12
Scaling KRR
13
Future of KRR
14
Memory Allocation
15
Container IOPS
16
Last Question
Description:
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.

Hands-on Introduction to Kubernetes Resource Recommendations (KRR)

Rawkode Academy
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