Microsoft Azure : Planning Deploying and Managing the Cloud 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. 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 decision concerning the workloads appropriate for your growing business in the Azure public cloud. Microsoft Azure starts with an introduction to Azure along with an overview of its architecture services such as IaaS and PaaS. You’ll also take a look into Azure’s data artificial intelligence and machine learning services. Moving on you will cover the planning for and adoption of Azure where you will go through budgeting cloud economics and designing a hybrid data center. Along the way you will work with web apps network PaaS virtual machines and much more. The final section of the book starts with Azure data services and big data with an in depth discussion of Azure SQL Database CosmosDB Azure Data Lakes and MySQL. You will further see how to migrate on premises databases to Azure and use data engineering. Next you will discover the various Azure services for application developers including Azure DevOps and ASP.NET web apps. Finally you will go through the machine learning and AI tools in Azure including Azure Cognitive Services. You will: Apply design guidance and best practices using Microsoft Azure to achieve business growth Create and manage virtual machines Work with AI frameworks to process and analyze data to support business decisions and increase revenue Deploy publish and monitor a web app.