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Reactive microsystems : the evolution of microservices at scale /

If you want your application to provide millisecond response times and close to 100% uptime, traditional architectures with single SQL databases and thread-per-request models simply cannot compete with microservices. This report discusses strategies and techniques for building scalable and resilient...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Bonér, Jonas (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Sebastopol, CA : O'Reilly Media, [2017]
Edición:First edition.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

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520 |a If you want your application to provide millisecond response times and close to 100% uptime, traditional architectures with single SQL databases and thread-per-request models simply cannot compete with microservices. This report discusses strategies and techniques for building scalable and resilient microservices, and helps you work your way through the evolution of a scalable microservices-based system. When it comes to development speed, time-to-market, and continuous delivery, microservices can do wonders for your organization. Author Jonas Bonér, Founder and CTO of Lightbend and author of Reactive Microservices Architecture (O'Reilly), demonstrates how to refactor a monolithic application step-by-step. You'll briefly land at single-instance microliths (micro monoliths) before working your way toward a scalable and resilient microsystem. This report will help you: Examine the essential traits of an individual reactive microservice Understand why monolithic architectures are a problem Manage the hard part of microservice design: the space between individual services Shift the focus from domain objects to events in domain-driven design Make services more efficient, performant, and stable by applying reactive programming techniques Make the services work together collaboratively, as a single reactive system Move beyond CRUD towards Event Sourcing/CQRS to scale state in an event-based design Leverage fast data in microservices to manage real-time data at scale. 
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