Securing, Monitoring, and Scaling Kubernetes Clusters

Overview

Class Central Tips

The Advanced Kubernetes - Securing, Monitoring, and Scaling Kubernetes Clusters course is designed for individuals who want to gain expertise in securing, monitoring, and efficiently managing Kubernetes clusters while also understanding how to scale them effectively to meet application demands. This course will build upon the foundational knowledge obtained in the introductory course. It will guide learners through advanced security measures, assist in gaining expertise in cluster monitoring, and will help them to master techniques for seamless scalability. After completing this course, you should be able to: - Explain the role of Role-Based Access Control (RBAC) in Kubernetes security - Identify the importance of network policies in cluster security - Evaluate the effectiveness of RBAC and network policies in various scenarios - Identify key metrics and indicators for monitoring Kubernetes clusters - Compare and contrast popular monitoring tools for Kubernetes - Analyze monitoring data to detect and troubleshoot issues in the cluster - Explain the importance of resource quotas in managing cluster resources - Describe resource quotas for efficient resource allocation - Summarize the role of auto-scaling in managing cluster scalability

Syllabus

Welcome & Module 1: Module 1: Securing Kubernetes Clusters: RBAC and Network Policies

Welcome to the second course of our Advanced Kubernetes series! By the end of this course, you will be well-equipped to fortify your Kubernetes clusters with robust security measures, keep a watchful eye on their health and performance, and scale them to meet the ever-evolving demands of your applications. In this first module, we'll lay a strong foundation for enhancing the security of your Kubernetes clusters.

Module 2: Monitoring Kubernetes Clusters: Tools and Techniques

Monitoring is not just about keeping an eye on your cluster; it's about gaining insights, ensuring performance, and being prepared to troubleshoot. By the end of this module, you will be able to choose the right tools and implement an effective monitoring strategy. This knowledge will empower you to maintain optimal cluster performance and swiftly address any issues that may arise.

Module 3: Scaling Kubernetes Clusters: Resource Management and Auto-Scaling Strategies

In this concluding module, we will explore the intricacies of scaling Kubernetes clusters to meet the dynamic demands of your applications, and further develop your knowledge and skills in resource management to ensure your Kubernetes clusters meet the needs of your applications seamlessly.