Boek cover Programming Microsoft Azure Service Fabric van Haishi Bai (Paperback)

Programming Microsoft Azure Service Fabric

Engels | Druk: 2nd edition | Paperback | 9781509307098
Paperback 20
5 op 5 sterren
uitgever Microsoft Press,U.S.
Taal Engels
Bindwijze Paperback
Aantal paginas 528 pagina's
Illustraties Nee
Auteur(s) Haishi Bai
Uitgever Microsoft Press,U.S.
Extra groot lettertype Nee
Gewicht 0.82 kg
Studieboek Ja
Verpakking breedte 188 mm
Verpakking hoogte 228 mm
Verpakking lengte 228 mm

Boekbeschrijving

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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