Programming Microsoft Azure Service Fabric

Product information

€44.39

Stock: In Stock Online

Our USPs

free delivery icon
Free Delivery
Extended Range: Delivery 3-4 working days
dubray rewards icon
Dubray Rewards
Earn 178 Reward Points on this title

Programming Microsoft Azure Service Fabric

Product information

Author: Haishi Bai

Type: Paperback

ISBN: 9781509307098

Date: 24th September, 2018

Publisher: Microsoft Press

  1. Categories

  2. Microsoft (Windows)
  3. Computer Programming / Software Engineering

Description

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

Additional details