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You're reading from Cloud Foundry for Developers Deploy, manage, and orchestrate cloud-native applications with ease

Product type Paperback

Published in Nov 2017

Publisher Packt

ISBN-13 9781788391443

Length 306 pages

Edition 1st Edition

Languages

Ruby

Tools

Cloud Foundry

Concepts

Cloud Computing

Authors (3):

David Wu

Rick Farmer

Rahul Kumar Jain

View More author details

Table of Contents (12) Chapters

Preface

1. Cloud Foundry Introduction FREE CHAPTER

2. Cloud Foundry CLI and Apps Manager

3. Getting Started with PCF Dev

4. Users, Orgs, Spaces, and Roles

5. Architecting and Building Apps for the Cloud

6. Deploying Apps to Cloud Foundry

7. Microservices and Worker Applications

8. Services and Service Brokers

9. Buildpacks

10. Troubleshooting Applications in Cloud Foundry

11. Continuous Integration and Continuous Deployment

Why PCF Dev?

A typical Cloud Foundry deployment, commonly referred to as a Cloud Foundry foundation, can be demanding on the infrastructure it needs to run on. Cloud Foundry requires a significant set of resources from the underlying Infrastructure as a Service (IaaS) it is deployed on, for example, vSphere, AWS, Azure, GCP, and so on. In addition, Cloud Foundry requires a good deal of specialized platform engineering expertise to deploy and properly configure it before the first cf push command can even be issued by an application development team.

The broad-stroke typical resources for common Cloud Foundry deployments can be heavy:

Pivotal Cloud Foundry minimally requires the following:

More than 50 GB of memory
More than 100 GB of disk space
Minimally 2-6 physical CPU cores
More than 1 hour to deploy (only once the infrastructure and other requirements are ready)

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Authors (3)

Rick Farmer

Rick Farmer is one of the founders and a leader of the Pivotal Cloud Foundry Solutions enterprise consulting and delivery team at Pivotal. Over the last two decades, he established a track record of navigating complex organizational technology and services to deliver breathtaking results for mission-critical initiatives at over 70 of the world's most recognizable companies and government entities. Many of the engagements he has anchored have won various personal and project awards. Rick unlocks innovation and business value using Cloud Foundry to inject enterprise agility into even the most challenging environments by aligning digital transformation, technical and business opportunities. He enjoys speaking at conferences on subjects ranging from Cloud Foundry to Data Science to Digital Transformation to Agility in the Enterprise. Since 1997, Rick has surfed tropical events hitting the Texas Gulf Coast. He has a data science visualization project inducted into the Visualization Hall of Fame at the Harvard School of Engineering and Applied Sciences.

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Rahul Kumar Jain

Rahul Kumar has got more than 10 years of experience in the space of Data Science and Artificial Intelligence. His expertise lies in the machine learning and deep learning arena. He is known to be a seasoned professional in the area of Business Consulting and Business Problem Solving, fuelled by his proficiency in machine learning and deep learning. He has been associated with organizations such as Mercedes-Benz Research and Development (India), Fidelity Investments, Royal Bank of Scotland among others. He has accumulated a diverse exposure through industries like BFSI, telecom and automobile. Rahul has also got papers published in IIM and IISc Journals.

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Cheng-Yang Wu has been tackling infrastructure and system reliability since he received his master's degree in computer science from National Taiwan University. His laziness prompted him to master DevOps skills to maximize his efficiency at work so as to squeeze in writing code for fun. He enjoys cooking as it's just like working with software a perfect dish always comes from balanced flavors and fine-tuned tastes.

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