Overview
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Explore resource management in Kubernetes to optimize cloud efficiency in this 52-minute webinar from the Linux Foundation. Dive into the challenges of correctly provisioning Kubernetes resources, managing configuration options at scale, and understanding the impact of changes on underlying infrastructure. Learn about getting started with Kubernetes, resource automation, performance degradation, quality of service, and common pitfalls. Discover tuning techniques, the importance of experimentation, and how machine learning can be applied to container limits and load balancing. Gain insights on managing system pods, handling burst scenarios, and setting appropriate limits for improved performance and stability in containerized applications.
Syllabus
Intro
Agenda
Why Resource Management
Getting Started with Kubernetes
Resource Automation
Kubernetes Manifest
Performance degradation
Quality of Service
The Little Sins
What Should We Do
Tuning
Importance of Tuning
Tuning Options
Experiments
Demo
Why Machine Learning
Container Limits
Reserved
Running Multiple Experiments
Load Balancing
Keeping System Pods Stable
How to manage two parts of the burst
How to manage higher limits
Conclusion
Taught by
Linux Foundation