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Akshay Mathur

Traefik API Gateway for Microservices

With Java and Python Microservices Deployed in Kubernetes

Buch

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 promi… Mehr

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Produktdetails


Weitere Autoren: Sharma, Rahul
  • ISBN: 978-1-4842-6375-4
  • EAN: 9781484263754
  • Produktnummer: 34591370
  • Verlag: Apress
  • Sprache: Englisch
  • Erscheinungsjahr: 2020
  • Seitenangabe: 272 S.
  • Masse: H23.5 cm x B15.5 cm x D1.4 cm 417 g
  • Auflage: 1st ed
  • Abbildungen: Paperback
  • Gewicht: 417

Über den Autor


Rahul Sharma is a seasoned Java developer with over 15 years of industry experience. In his career he has worked with companies of various sizes from enterprises to startups. During this time he has developed and managed microservices on the cloud (AWS/GCE/DigitalOcean) using open source software. He is an open source enthusiast and shares his experience at local meetups. He co-authored Java Unit Testing with JUnit 5 (Apress) and Getting Started with Istio Service Mesh (Apress).Akshay Mathur is a software engineer with 15 years of experience, mostly in Java and web technologies. Most of his career has been spent building B2B platforms for enterprises, dealing with concerns such as scalability, configurability, multi-tenancy, and cloud engineering. He has hands-on experience implementing and operating microservices and Kubernetes in these ecosystems. Currently, he enjoys public speaking and blogging on new cloud native technologies (especially plain Kubernetes) and effective engineering culture.

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