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  • Book Overview & Buying Microservices with Azure
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Microservices with Azure

Microservices with Azure

By : Rai, Namit Tanasseri
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Microservices with Azure

Microservices with Azure

3 (2)
By: Rai, Namit Tanasseri

Overview of this book

Microsoft Azure is rapidly evolving and is widely used as a platform on which you can build Microservices that can be deployed on-premise and on-cloud heterogeneous environments through Microsoft Azure Service Fabric. This book will help you understand the concepts of Microservice application architecture and build highly maintainable and scalable enterprise-grade applications using the various services in Microsoft Azure Service Fabric. We will begin by understanding the intricacies of the Microservices architecture and its advantages over the monolithic architecture and Service Oriented Architecture (SOA) principles. We will present various scenarios where Microservices should be used and walk you through the architectures of Microservice-based applications. Next, you will take an in-depth look at Microsoft Azure Service Fabric, which is the best–in-class platform for building Microservices. You will explore how to develop and deploy sample applications on Microsoft Azure Service Fabric to gain a thorough understanding of it. Building Microservice-based application is complicated. Therefore, we will take you through several design patterns that solve the various challenges associated with realizing the Microservices architecture in enterprise applications. Each pattern will be clearly illustrated with examples that you can keep referring to when designing applications. Finally, you will be introduced to advanced topics such as Serverless computing and DevOps using Service Fabric, to help you undertake your next venture with confidence.
Table of Contents (13 chapters)
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Data processing function apps

Most of the systems built in organizations today are data processing systems. A typical data processing system can perform one or a combination of the following tasks:

  • Conversion of data from one format to another
  • Targeting of input data to appropriate storage
  • Validation and clean-up of data
  • Sorting of data
  • Summarization of data
  • Aggregation of data from multiple sources
  • Statistical analysis of existing or new data
  • Generating reports that list a summary or details of computed information

Data processing function apps can be used to build Nanoservices that can be aggregated to form data processing systems. Data processing function apps are always triggered by a data event. A data event is raised when state of data changes in a linked resource for example an item being added to a table, a queue, a container, and so on.

A data processing function has...

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