Advanced Kubernetes Deployment Strategies and Networking
About this Course
This course is for learners who possess a foundational understanding of Kubernetes and have some prior experience working with container orchestration. They should have a keen interest in advancing their knowledge and expertise in Kubernetes deployment strategies and networking concepts. This first course focuses on Advanced Kubernetes deployment strategies and networking concepts, providing learners with practical experience in designing and implementing complex Kubernetes deployments. Topics include rolling updates, canary deployments, blue-green deployments, ingress, and network policies. By the end of this course, you will be able to: - Explain the core concepts of Kubernetes deployment strategies - Compare and contrast rolling updates, canary deployments, and blue-green deployments - Analyze the benefits and drawbacks of different deployment strategies - Describe the role of Kubernetes Services and Ingress in cluster networking - Implement a custom Ingress configuration to manage traffic routing - Integrate advanced deployment strategies with Kubernetes networking - Troubleshoot common issues related to deployments and networking - Optimize deployment and networking configurations for performance and resilienceCreated by: LearnQuest
Related Online Courses
There are numerous types of machine learning algorithms, each of which has certain characteristics that might make it more or less suitable for solving a particular problem. Decision trees and... more
Course four of the Anthos series prepares students to consider multiple approaches for modernizing applications and services within Anthos environments. Topics include optimizing workloads on... more
This specialisation covers topics ranging from the security of computer system and networks, to the key role of human aspects in cybercrime. You will learn fundamental concepts related to computer... more
This specialization teaches developers to build next-generation apps powered by generative AI. It covers topics like the OpenAI API, open-source models, AI safety, embeddings, vector databases, AI... more