Bootstrapping Microservices, Second Edition: With Docker, Kubernetes, GitHub Actions, and Terraform

Davis, Ashley

ISBN 10: 1633438562 / ISBN 13: 9781633438569

Verlag: Manning, 2024

Beschreibung

Special order direct from the distributor. Bestandsnummer des Verkäufers ING9781633438569

Bibliografische Details

Titel: Bootstrapping Microservices, Second Edition:...

Verlag: Manning

Erscheinungsdatum: 2024

Einband: paperback

Zustand: New

Auflage: 2nd Edition.

Über diesen Titel

Inhaltsangabe:

Bootstrapping Microservices, Second Edition is a guide to microservices and cloud-native distributed applications. It demystifies technical choices and gives you a clear, comprehensive approach to building microservices. In it, you'll learn how to configure cloud infrastructure with Terraform, package microservices using Docker, and deploy your finished project to a Kubernetes cluster. This fully revised new edition contains updated coverage of continuous delivery for GitHub Actions. It also includes expanded coverage of Kubernetes, including an easy guide to Kuberbetes deployment along with guidance for implementing infrastructure as code.

About the technology:

Taking a microservices application from proof of concept to production is a multi-step operation that relies on tools like Docker, Terraform, and Kubernetes. The best way to learn the whole process is to build a project from the ground up. That's exactly what you'll do in this book!

Über die Autorin bzw. den Autor:

About the author:

Ashley Davis is a software craftsman, entrepreneur, and author with over 25 years of experience in software development―from coding, to managing teams, to founding companies. He has worked for a range of companies, from the tiniest startups to the largest internationals. Along the way, he has contributed back to the community through his writing and open source coding. He is currently VP of Engineering at Hone, building products on the Algorand blockchain. He is also the creator of Data-Forge Notebook, a desktop application for exploratory coding and data visualization using JavaScript and TypeScript.