Introduction to Microsoft Azure
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This document provides an overview of Microsoft Azure cloud services and why businesses use the cloud. It discusses Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS) models. Key Azure services are mentioned, including Virtual Machines, SQL Database, storage, and web apps. The cloud allows businesses to rapidly setup environments, scale as needed, and increase efficiency at a lower cost compared to on-premises infrastructure.
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Introduction to Microsoft Azure
- 1. The Cloud for Modern Business
- 3. Agenda Azure overview IaaS Virtual Machines PaaS Cloud Services, Web Sites Data SQL Database, Queues, Table & Blob Storage
- 5. Why the cloud? Rapidly setup environments to drive business priorities Scale to meet peak demands Increase daily activities, efficiency and reduced cost.
- 7. On Premises You scale, make resilient and manage Infrastructure (as a Service) Managed by vendor You scale, make resilient & manage Platform (as a Service) Scale, resilience and management by vendor You manage Hosting models Software (as a Service) Business model Applications Scale, resilience and management by vendor Why the cloud?
- 8. Pay only for what you use
- 9. Azure
- 10. Azure footprint 15 regions worldwide in 2014
- 11. >57% >300k Fortune 500 using Azure Active websites More than 1,000,000 SQL Databases in Azure >30TRILLION >300MILLION storage objects AAD users >3 MILLION BILLION requests/sec >13 authentication/wk >1.65 MILLION Developers registered with Visual Studio Online
- 12. Game sessions hosted using Azure Hosted using >100,000 Azure Virtual Machines
- 14. Azure Services
- 15. Microsoft Azure Services Client layer (on-premises) Tablet Phone Games PC console On-premises On-premises service Office Add-in Browser database AD Multifactor Authentication Access Control Layer Integration layer Service Bus CDN BizTalk Services Traffic Manager Virtual Networks Express Route Application layer API Mgmt Websites Cloud Services VM Mobile Services Media Services Notification Hubs Scheduler Automation Data Layer Storage Blobs Tables Queues Data Machine Learning HD Insight Backup and Recovery SQL Database Caching StorSimple
- 16. Design for Cloud
- 17. A different mindset Embracing errors Design for availability, reliability, scalability Performance
- 18. User Internet Traffic WAAD Service Bus Manager US West US East CDN Worker Role/VM SQL Database Worker Role/VM Data Sync NoSQL DB Geo-redundancy Cache Sample architecture
- 20. Key Scenarios to get started with Microsoft Azure • Dev / Test • Full test and dev environments in minutes • VSO integration • Lift and Shift • Take existing work loads and run then in a certified instance • Storage • Archive key data in inexpensive cloud storage • Big Data • Process key data into business intelligence using Hadoop or Machine Learning • Identity • Synchronize all your identities through Azure AD to control access to Apps, Data and Services •Web Apps • Take your web apps to the cloud using inexpensive Web Sites
- 21. Activate your MSDN Benefits… 3 VMs for 16 hrs a day 80 VMs for 20 hour load test Up to 100 web sites + DB 89 Countries 33%off Dev/Test VMs 25%off Other Dev/Test + $150 per Month Up to
- 22. Get started at www.azure.com
- 23. Questions?
Editor's Notes
- #7: Slide Objectives: Explain the three established industry terms for cloud services Speaker Notes: There is a lot of talk in the industry about different terms like Platform as a Service, Infrastructure as a Service, and Software as a Service. Since PDC08 when we first announced the Windows Azure our focus has been on delivering a platform as a service offering where you can build applications. Where the platform abstracts you from the complexities of building and running applications. We fundamentally believe that the future path forward for development is by providing a platform. In fact, as you’ll see in a few minutes, we believe that there are a number of new capabilities that should be delivered as services to the platform. Notes: There is a lot of confusion in the industry when it comes to the cloud. It’s important that you understand both what is happening in the industry and how we think about the cloud. This is the most commonly used taxonomy for differentiating between types of cloud services. The industry has defined three categories of services: IaaS – a set of infrastructure level capabilities such as an operating system, network connectivity, etc. that are delivered as pay for use services and can be used to host applications. PaaS – higher level sets of functionality that are delivered as consumable services for developers who are building applications. PaaS is about abstracting developers from the underlying infrastructure to enable applications to quickly be composed. SaaS – applications that are delivered using a service delivery model where organizations can simply consume and use the application. Typically an organization would pay for the use of the application or the application could be monetized through ad revenue. It is important to note that these 3 types of services may exist independently of one another or combined with one another.
- #13: Points to land: Imagine what you could do… 360,000 concurrent cores Have EA tell the story Assume we don't run out of capacity
- #18: Slide Objectives: Explain the agenda of the session. Speaker Notes: Explain this presentation is a high-level overview, so not everything is covered in-depth.