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Traefik API Gateway for Microservices: With Java and Python Microservices Deployed in Kubernetes

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  • Дата: 27-11-2020, 15:47
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Traefik API Gateway for Microservices: With Java and Python Microservices Deployed in KubernetesНазвание: Traefik API Gateway for Microservices: With Java and Python Microservices Deployed in Kubernetes
Автор: Rahul Sharma, Akshay Mathur
Издательство: Apress
Год: 2020
Страниц: 264
Язык: английский
Формат: pdf (true), epub
Размер: 11.5 MB

Use Traefik as a load balancer or a reverse proxy for microservices-based architecture. This book covers Traefik integration for microservices architecture concerns such as service discovery, telemetry, and resiliency. The book focuses on building an in-depth understanding of Traefik. It starts with the fundamentals of Traefik, including different load balancing algorithms available, and failure handling for application resiliency. Examples are included for the failure scenarios. TLS support is explained, including scenarios of TLS termination and TLS forwarding. Traefik supports TLS termination using Let's Encrypt. Traefik deployment in prominent microservices ecosystems is discussed, including Docker and Kubernetes.

Traefik is a language-neutral component. This book presents examples of its deployment with Java-based microservices. The examples in the book show Traefik integration with Jaeger/Zipkin, Prometheus, Grafana, and FluentD. Also covered is Traefik for Python-based services and Java-based services deployed in the Kubernetes cluster. By the end of the book, you will confidently know how to deploy and integrate Traefik into prominent microservices ecosystems.

What You Will Learn:

Understand Traefik basics and its components
Explore different load balancing scenarios and TLS termination
Configure service discovery, circuit breakers, timeouts, and throttling
Monitor Traefik using Prometheus and request tracing

Who This Book Is For:
Developers and project managers who have developed microservices and are deploying them in cloud and on-premise environments with Kubernetes or Docker. The book is not specifically written for any particular programming language. The examples presented use Java or Python.

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