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Managing Ingress Traffic Patterns for Kubernetes Services

Offered By: Pluralsight

Tags

Kubernetes Courses Microservices Courses

Course Description

Overview

Once you've packaged and deployed your application services to a Kubernetes cluster, you have to figure out how to expose them for client access. This course will set you in the right direction for managing ingress traffic to your deployed services.

Once all the hard work of packaging your services into the container format is complete, and you've successfully deployed them to a Kubernetes cluster, you still have the task of exposing those services beyond the cluster for external consumption. In this course, Managing Ingress Traffic Patterns for Kubernetes Services, you'll learn how to expose your Kubernetes services to fit your own unique deployment requirements. First, you'll learn about the different options available for exposing Kubernetes services, and how they might suit particular circumstances. Next, you'll see how to use the Kubernetes Ingress API for managing external traffic as it enters the cluster, and how it can be securely routed to its intended destination. Finally, you'll discover how to accommodate some advanced traffic routing patterns, as well as gain an understanding of some of the future directions for managing ingress in Kubernetes clusters. By the end of the course, you'll have the skills and knowledge necessary for making your microservices available for consumption beyond the Kubernetes cluster boundary.

Syllabus

  • Course Overview 2mins
  • Using the Kubernetes Service API Object to Expose Workloads 32mins
  • Introducing the Ingress API Object and Controller 35mins
  • Securing Ingress Traffic Using the cert-manager Operator 36mins
  • Handling Advanced Traffic Routing Patterns 31mins
  • The Future of Ingress in Kubernetes 25mins

Taught by

Nigel Brown

Related Courses

Introduction to Cloud Infrastructure Technologies
Linux Foundation via edX
Scalable Microservices with Kubernetes
Google via Udacity
Introduction to Kubernetes
Linux Foundation via edX
Architecting Distributed Cloud Applications
Microsoft via edX
IBM Cloud: Deploying Microservices with Kubernetes
IBM via Coursera