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Managing Kubernetes Traffic with F5 NGINX

A Practical Guide

by Amir Rawdat

Managing Kubernetes Traffic with F5 NGINX

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Book Description

Microservices architectures introduce several benefits to the application development and delivery process. Microservices-based apps are easier to build, test, maintain, and scale. They also reduce downtime through better fault isolation.

While container-based microservices apps have profoundly changed the way DevOps teams deploy applications, they have also introduced challenges. Kubernetes - the de facto container orchestration platform - is designed to simplify management of containerized apps, but it has its own complexities and a steep learning curve. This is because responsibility for many functions that traditionally run inside an app (security, logging, scaling, and so on) are shifted to the Kubernetes networking fabric.

To manage this complexity, DevOps teams need a data plane that gives them control of Kubernetes networking. The data plane is the key component that connects microservices to end users and each other, and managing it effectively is critical to achieving stability and predictability in an environment where modern apps are evolving constantly.

Ingress controller and service mesh are the two Kubernetes-native technologies that provide the control you need over the data plane. This hands-on guide to F5 NGINX Ingress Controller and F5 NGINX Service Mesh includes thorough explanations, diagrams, and code samples to prepare you to deploy and manage production-grade Kubernetes environments.

This open book is licensed under a Open Publication License (OPL). You can download Managing Kubernetes Traffic with F5 NGINX ebook for free in PDF format (7.0 MB).

Table of Contents

Chapter 1
Installing and Deploying F5 NGINX Ingress Controller and F5 NGINX Service Mesh
Chapter 2
Traffic Management Use Cases
Chapter 3
Monitoring and Visibility Use Cases
Chapter 4
Identity and Security Use Cases

Book Details

Managing Kubernetes Traffic with F5 NGINX
Computer Science
PDF Size
7.0 MB
Open Publication License

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