9781509307098

Programming Microsoft Azure Service Fabric

by
  • ISBN13:

    9781509307098

  • ISBN10:

    1509307095

  • Edition: 2nd
  • Format: Paperback
  • Copyright: 2018-06-04
  • Publisher: Microsoft Press

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Supplemental Materials

What is included with this book?

  • The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any access cards, study guides, lab manuals, CDs, etc.
  • The Rental and eBook copies of this book are not guaranteed to include any supplemental materials. Typically, only the book itself is included. This is true even if the title states it includes any access cards, study guides, lab manuals, CDs, etc.

Summary

Build, operate, and orchestrate scalable microservices applications in the cloud 

 

This book combines a comprehensive guide to success with Microsoft Azure Service Fabric and a practical catalog of design patterns and best practices for microservices design, implementation, and operation. Haishi Bai brings together all the information you’ll need to deliver scalable and reliable distributed microservices applications on Service Fabric. He thoroughly covers the crucial DevOps aspects of utilizing Service Fabric, reviews its interactions with key cloud-based services, and introduces essential service integration mechanisms such as messaging systems and reactive systems. 

 

Leading Microsoft Azure expert Haishi Bai shows how to: 

  • Set up your Service Fabric development environment 
  • Program and deploy Service Fabric applications to a local or a cloud-based cluster 
  • Compare and use stateful services, stateless services, and the actor model 
  • Design Service Fabric applications to maximize availability, reliability, and scalability 
  • Improve management efficiency via scripting 
  • Configure network security and other advanced cluster settings 
  • Collect diagnostic data, and use Azure Operational Management Suite to interpret it 
  • Integrate microservices components developed in parallel 
  • Use containers to mobilize applications for failover, replication, scaling, and load balancing 
  • Streamline containerization with Docker in Linux and Windows environments 
  • Orchestrate containers to schedule workloads and maintain services at desired states 
  • Implement proven design patterns for common cloud application workloads 
  • Balance throughput, latency, scalability, and cost 

Author Biography

Haishi Bai, principal software engineer at Microsoft, focuses on the Microsoft Azure compute platform, including IaaS, PaaS, networking, and scalable computing services. Ever since he wrote his first program on an Apple II when he was 12, Haishi has been a passionate programmer. He later became a professional software engineer and architect. During his 21 years of professional life, he’s faced various technical challenges and a broad range of project types that have given him rich experiences in designing innovative solutions to solve difficult problems.

 

Haishi is the author of a few cloud computing books, and he’s an active contributor to a few open-source projects. He also runs a technical blog (http://blog.haishibai.com) with millions of viewers. His twitter handle is @HaishiBai2010.

Table of Contents

PART I Fundamentals
Chapter 1 – Hello, Service Fabric!
Chapter 2 – Stateless services
Chapter 3 – Stateful services
Chapter 4 – Actors
Chapter 5 – Service Deployments and upgrades
Chapter 6 – Availability and Reliability
Chapter 7 – Scalability and Performance

PART II Containers
Chapter 8 – Service Fabric on Linux
Chapter 9 – Containers
Chapter 10 - Container orchestration

PART III DevOps
Chapter 11 – Service Fabric Scripting
Chapter 12 – Cluster management
Chapter 13 – Diagnostics and Monitoring
Chapter 14 – Security
Chapter 15 – Continuous Delivery

Part IV Design Patterns
Chapter 16 – Scalable web
Chapter 17 – Interactive systems
Chapter 18 – System Integration

Part V Advanced Topics
Chapter 19 – Serverless
Chapter 20 – Machine Learning
Chapter 21 – Intelligent Cloud and Intelligent Edge

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