Programming Microsoft Azure Service Fabric

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. Les mer
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Vår pris: 474,-

(Paperback) Fri frakt!
Leveringstid: Sendes innen 7 virkedager
På grunn av Brexit-tilpasninger og tiltak for å begrense covid-19 kan det dessverre oppstå forsinket levering

Om boka

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

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