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Azure for Architects

Azure for Architects

By : Modi, Jack Lee, Rithin Skaria
3.5 (4)
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Azure for Architects

Azure for Architects

3.5 (4)
By: Modi, Jack Lee, Rithin Skaria

Overview of this book

Thanks to its support for high availability, scalability, security, performance, and disaster recovery, Azure has been widely adopted to create and deploy different types of application with ease. Updated for the latest developments, this third edition of Azure for Architects helps you get to grips with the core concepts of designing serverless architecture, including containers, Kubernetes deployments, and big data solutions. You'll learn how to architect solutions such as serverless functions, you'll discover deployment patterns for containers and Kubernetes, and you'll explore large-scale big data processing using Spark and Databricks. As you advance, you'll implement DevOps using Azure DevOps, work with intelligent solutions using Azure Cognitive Services, and integrate security, high availability, and scalability into each solution. Finally, you'll delve into Azure security concepts such as OAuth, OpenConnect, and managed identities. By the end of this book, you'll have gained the confidence to design intelligent Azure solutions based on containers and serverless functions.
Table of Contents (21 chapters)
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20
Index

13. Integrating Azure DevOps

In the previous chapter, you learned about big data eventing and its relationship with Azure's Event Hubs and Stream Analytics services. Software development is a complex undertaking comprising multiple processes and tools, and involving people from different departments. They all need to come together and work in a cohesive manner. With so many variables, the risks are high when you are delivering to end customers. One small omission or misconfiguration might lead to the application coming crashing down. This chapter is about adopting and implementing practices that reduce this risk considerably and ensure that high-quality software can be delivered to the customer over and over again.

Before getting into the details of DevOps, here is a list of the problems faced by software companies that DevOps addresses:

  • Rigid organizations that don't welcome change
  • Time-consuming processes
  • Isolated teams working in silos
  • Monolithic...

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