Overview
- A practical hands-on book on building applications with DevOps in Google Cloud Platform
- Includes a case study sewn throughout the book
- Covers Jenkins, Docker and Kubernetes principles, which are important to developers employing DevOps
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About this book
Starting with core DevOps concepts, continuous integration, and continuous delivery, you’ll cover common tools including Jenkins, Docker, and Kubernetes in the context of a real microservices application to deploy in the cloud. You will also create a monitor for your cloud and see how to use its data to prevent errors and improve the stability of the system. By the end of Pro DevOps with Google Cloud Platform, you will be able to deploy, maintain, and monitor a real application with GCP.
What You Will Learn
- Build and deploy applications and services using DevOps on Google Cloud Platform
- Maintain a complete continuous integration (CI) and continuous delivery (CD) pipeline
- Use containerization with Docker and Kubernetes
- Carry out CD with GCP and Jenkins
- Create microservices with Jenkins, Docker, and Kubernetes
- Monitor your newly deployed application and its deployment and performance
- Set up security and manage your network with GCP
Who This Book Is For
Developers and software architects who want to implement DevOps in practice. Some prior programming experience is recommended as well as a basic knowledge of a Linux command-line environment.
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Table of contents (10 chapters)
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Bibliographic Information
Book Title: Pro DevOps with Google Cloud Platform
Book Subtitle: With Docker, Jenkins, and Kubernetes
Authors: Pierluigi Riti
DOI: https://doi.org/10.1007/978-1-4842-3897-4
Publisher: Apress Berkeley, CA
eBook Packages: Professional and Applied Computing, Apress Access Books, Professional and Applied Computing (R0)
Copyright Information: Pierluigi Riti 2018
Softcover ISBN: 978-1-4842-3896-7Published: 25 October 2018
eBook ISBN: 978-1-4842-3897-4Published: 24 October 2018
Edition Number: 1
Number of Pages: XVII, 278
Number of Illustrations: 113 b/w illustrations
Topics: Big Data, Artificial Intelligence, Programming Languages, Compilers, Interpreters, Computer Systems Organization and Communication Networks