Microsoft Azure planning, deploying, and managing the cloud

Gain the technical and business insight needed to plan, deploy, and manage the services provided by the Microsoft Azure cloud. This second edition focuses on improving operational decision tipping points for the professionals leading DevOps and security teams. This will allow you to make an informed...

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Bibliographic Details
Main Authors: Soh, Julian. author (author), Copeland, Marshall. author, Puca, Anthony. author, Harris, Micheleen. author
Format: eBook
Language:Inglés
Published: Berkeley, CA : Apress 2020.
Edition:Second edition
Subjects:
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630890106719
Table of Contents:
  • Part I: Introducing Microsoft Azure
  • Ch1. Microsoft Azure and Cloud Computing
  • Ch2. Overview of Azure Infrastructure-as-a-Service (IaaS) services
  • Ch3
  • Overview of Azure Platform as a Service
  • Ch4. Azure AppDev Services Overview
  • Ch5. Ethical AI, Azure AI, and Machine Learning
  • Part II: Planning and adopting Azure
  • Ch6. Budgeting and Cloud Economics. Ch7. Designing a Hybrid Data Center
  • Ch8. Tools and Training to Up-Skill Existing IT Team
  • Part III: Using Azure for Infrastructure-as-a-Service (IaaS). - Ch9. Implementing Azure Networking
  • Ch10. Virtual Machines
  • Ch11. Infrastructure as Code (IaC)
  • Part IV: Adopting Platform-as-a-Service (PaaS)
  • Ch12. Azure WebApps
  • Ch13. Network Platform as a Service
  • Ch14
  • Azure Storage
  • Part V Azure Data Services and Big Data
  • Ch15.Azure Cognitive (COG) services
  • Ch16. Machine Learning and Deep Learning
  • Ch17. Azure Data Services
  • Part VI: Azure services for application developers
  • Ch18. Migrating on-premises databases to Azure
  • Ch19
  • Data Engineering and the modern Data Estate
  • Part VII : Intelligent Cloud - Machine Learning and Artificial Intelligence
  • Ch20
  • Developing and deploying Azure-based Applications
  • Ch21. Continuous Integration/Continuous Delivery with Azure DevOps.