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Microservices with Azure

You're reading from   Microservices with Azure Build highly maintainable and scalable enterprise-grade apps

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Product type Paperback
Published in Jun 2017
Publisher Packt
ISBN-13 9781787121140
Length 360 pages
Edition 1st Edition
Tools
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Authors (2):
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Namit Tanasseri Namit Tanasseri
Author Profile Icon Namit Tanasseri
Namit Tanasseri
Rahul Rai Rahul Rai
Author Profile Icon Rahul Rai
Rahul Rai
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Table of Contents (13) Chapters Close

Preface 1. Microservices – Getting to Know the Buzzword 2. Microsoft Azure Platform and Services Primer FREE CHAPTER 3. Understanding Azure Service Fabric 4. Hands-on with Service Fabric – Guest Executables 5. Hands on with Service Fabric – Reliable Services 6. Reliable Actors 7. Microservices Architecture Patterns Motivation 8. Microservices Architectural Patterns 9. Securing and Managing Your Microservices 10. Diagnostics and Monitoring 11. Continuous Integration and Continuous Deployment 12. Serverless Microservices

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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