This document provides an overview of Azure fundamentals including virtual machines, containers, Azure Active Directory, Azure Cosmos DB, and communicating with on-premises networks. It demonstrates creating a web app using Docker containers, configuring Azure AD authentication, and querying DocumentDB in Cosmos DB. Key differences between SQL and NoSQL databases are explained. Cosmos DB is introduced as a globally distributed, multi-model database service that is tunable for consistency and offers comprehensive SLAs.

1. Azure Fundamentals
Container, AD, VM, Cosmos
August 2018

2. Virtual Machine vs Containers

3. Docker concepts
• Images
• Containers
• Docker host
• Dockerfile
• Docker Hub - Docker Registry

4. App Service on Linux

5. Web Apps for Containers

6. Demo Web App for containers
• Create ASP.NET Core App
• Create Dockerfile
• Build Docker image
• Push to Azure Docker Registry
• Create Web App for that Docker image

7. Azure Active Directory

8. Demo Azure Active Directory
• Create Azure AD
• Create Users
• Create a ASP.NET Core App
• Setup authentication using AD

9. Azure Virtual Machine

10. Azure N-tier Architecture

11. Virtual Machine Storage Architecture
Azure Virtual Machine
C:
OS Disk
E:, F:, etc.
Data DisksD:
Temporary Disk
Disk Cache
Azure Blob
Y:, Z:, etc.
SMB Share
Azure Files

13. Virtual Machine – Type

14. Sample Virtual Network

15. Virtual Network – Communicate with On-Premise
• Point 2 Site VPN:
- Connect Single Computer to Azure Virtual Network
- Via Internet with Secure Socket Tunneling Protocol(SSTP)
• Site 2 Site VPN and VPN 2 VPN:
- Connect to 2 VPN together
- Via Internet with IPSec Protocol
• ExpressRoute:
- Private connection
- Via dedicated network (do not over internet)
- More reliability with low latency with Increased reliability and speed

16. Communicate with On-Premise - Sample

17. Demo
• Create Virtual Network
• Add a computer into Virtual Network
• Config Security to Allow Remote Desktop
• Config to allow http access

18. SQL vs NoSQL - Key points
SQL
• ACID
Atomicity, Consistency, Isolation, and Durability
• Standard DDL, SQL
• Schema enforced
• Better tooling
• Oracle, SQL Server, MySQL,
PostgreSQL
• Usually suffer performance
issues when system grow,
difficult to scale
NoSQL
• BASE?
Basically Available, Soft state, Eventual consistency
• No Standard
• Schema-less
• Mostly Open Source and Low-
Cost
• Generally better performance
and scalability

19. Global distribution Elastic scale out Guaranteed low latency Comprehensive SLAs
Azure Cosmos DB
Key-Value Column-Family GraphDocuments
A multi-model, globally-distributed database service
Tunable Consistency
SQL
DocumentDB
Azure Tables

20. DocumentDB
https://docs.microsoft.com/en-us/azure/cosmos-db/create-documentdb-dotnet

21. Graph database
https://docs.microsoft.com/en-us/azure/cosmos-db/create-graph-dotnet

22. Request Unit (RU)
Billed for the amount of throughput reserved, regardless of how
much of that throughput is actively used
Also depend on:
• Item size
• Item property count
• Document indexing
https://www.documentdb.com/capacityplanner

23. Demo DocumentDB
• Create a Cosmos DB (SQL)
• Create a Database and Collection
• Add some documents
• Query documents
• Open same ASP.NET Application working with DocumentDB

24. Q&A

25. THANK YOU
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