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Azure for Architects

You're reading from   Azure for Architects Create secure, scalable, high-availability applications on the cloud

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Product type Paperback
Published in Jul 2020
Publisher Packt
ISBN-13 9781839215865
Length 698 pages
Edition 3rd Edition
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Authors (3):
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Jack Lee Jack Lee
Author Profile Icon Jack Lee
Jack Lee
Ritesh Modi Ritesh Modi
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Ritesh Modi
Rithin Skaria Rithin Skaria
Author Profile Icon Rithin Skaria
Rithin Skaria
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Toc

Table of Contents (21) Chapters Close

Preface 1. Getting started with Azure 2. Azure solution availability, scalability, and monitoring FREE CHAPTER 3. Design pattern – Networks, storage, messaging, and events 4. Automating architecture on Azure 5. Designing policies, locks, and tags for Azure deployments 6. Cost management for Azure solutions 7. Azure OLTP solutions 8. Architecting secure applications on Azure 9. Azure Big Data solutions 10. Serverless in Azure – Working with Azure Functions 11. Azure solutions using Azure Logic Apps, Event Grid, and Functions 12. Azure Big Data eventing solutions 13. Integrating Azure DevOps 14. Architecting Azure Kubernetes solutions 15. Cross-subscription deployments using ARM templates 16. ARM template modular design and implementation 17. Designing IoT solutions 18. Azure Synapse Analytics for architects 19. Architecting intelligent solutions Index

Azure as an intelligent cloud

Azure provides infrastructure and services to ingest billions of transactions using hyper-scale processing. It provides petabytes of storage for data, and it provides a host of interconnected services that can pass data among themselves. With such capabilities in place, data can be processed to generate meaningful knowledge and insights. There are multiple types of insights that can be generated through data analysis, which are as follows:

  • Descriptive: This type of analysis provides details about what is happening or has happened in the past.
  • Predictive: This type of analysis provides details about what is going to happen in the future.
  • Prescriptive: This type of analysis provides details about what should be done to either enhance or prevent current or future events.
  • Cognitive: This type of analysis actually executes actions that are determined by prescriptive analytics in an automated manner.

While deriving insights from data is good, it is equally important to act on them. Azure provides a rich platform to ingest large volumes of data, process and transform it, store and generate insights from it, and display it on real-time dashboards. It is also possible to take action on these insights automatically. These services are available to every customer of Azure and they provide a rich ecosystem in which customers can create solutions. Enterprises are creating numerous applications and services that are completely disrupting industries because of the easy availability of these intelligent services from Azure, which are combined to create meaningful value for end customers. Azure ensures that services that are commercially not viable to implement for small and medium companies can now be readily consumed and deployed in a few minutes.

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