Microsoft Azure Platform offers a wide range of services, predominantly PaaS services. And building a solution architecture you will use various of these pluggable services. In this session a few real world Azure solution architectures will be discussed with 'plug & play' view. Why, how the solution where designed that way, pitfalls, alternatives, constraints and lessons learned.

1. Steef-Jan Wiggers

2. Nice to meet you
Steef-Jan Wiggers
Azure Technology
Consultant
Codit Netherlands
steefjan.wiggers@codit.eu
+31 653 12 29 57
@SteefJan
nl.linkedin.com/in/steefjan
8th year - Azure MVP

3. Marathon Man

4. What can you expected in this session
• Azure Playground
• Trends
• Use Cases
• Scenarios
• Demos
• Considerations, lessons learned

5. Playground

6. Playgrounds - Azure Regions
36 GA, 6 coming soon

8. Platform Services
Infrastructure Services
Web
Apps
Mobile
Apps
API
Apps
Notification
Hubs
Hybrid
Cloud
Backup
StorSimple
Azure Site
Recovery
Import/Export
SQL
Database CosmosDB
Redis
Cache
Azure
Search
Storage
Tables
SQL Data
Warehouse
Azure AD
Health Monitoring
AD Privileged
Identity
Management
Operational
Analytics
Cloud
Services
Batch
RemoteApp
Service
Fabric
Visual Studio
Application
Insights
VS Team Services
Domain Services
HDInsight Machine
Learning Stream Analytics
Data
Factory
Event
Hubs
Data Lake
Analytics Service
IoT Hub
Data
Catalog
Security &
Management
Azure Active
Directory
Multi-Factor
Authentication
Automation
Portal
Key Vault
Store/
Marketplace
VM Image Gallery
& VM Depot
Azure AD
B2C
Scheduler
Xamarin
HockeyApp
Power BI
Embedded
SQL Server
Stretch Database
Mobile
Engagement
Functions
Cognitive Services Bot Framework Cortana
Security Center
Container
Service
VM
Scale Sets
Data Lake Store
BizTalk
Services
Service Bus
Logic
Apps
API
Management
Content
Delivery
Network
Media
Services
Media
Analytics

9. Technology Lifecycle
Innovators Early
Adopters
Early Majority Late
Majority
Laggards
- AI
- Machine Learning
- IoT
- Container Orchestration
- Data Science
- Micro Services
- Containers
- Java
- .NET
- DevOps
- Databases
- Serverless
@SteefJan

11. AI Platforms
@SteefJan

12. Microsoft AI Platform

13. • Helptico, Autism Spectrum disorder
• UPS, text-based and voice-based conversation
• Washington County Law Enforcement
Business Case - AI
@SteefJan

14. Sentiment Analysis
Logic App
Function
Cognitive Service API
Tekst Analysis
good
moderate
bad
Tweets with
hashtag #trump
Post Tweet Body
and Tweeted By
Evaluate score
Send tweet
text

15. Face Recognition Solution Demo
APPImage
Request/Reply
Microsoft
Cognitive
Face API
AWS
Rekognition
Detect Faces
Google
Computer Vision
API
@SteefJan

16. • Workloads
• Costs
• GDPR (Privacy)
• Security
• Big Data
Lessons Learned
@SteefJan

17. Just released!

20. Serverless Landscape
@SteefJan

21. AWS Global Infrastructure

22. Google Cloud Platform

23. Serverless Platform
Functions Logic Apps Event Grid
Developer Productivity Visual Designer Manage events in one place
Triggers and Bindings 200+ Connectors Near real-time delivery
Flexible Deployment options Functions Orchestration Broad coverage
Database Storage Security &
Access Control
IoT IntelligenceAnalytics
Development Serverless Platform
IDE Support
Integrated
DevOps
Local
Development
Monitoring
Visual Debug
History
@SteefJan

24. Serverless Integration Solution Demo
Submit
Receipt
Store
Event Event Computer Vision API
OCRFunction
Azure Blob
Storage
Event Grid
Processing
Service Bus
Queue
Microsoft Flow
@SteefJan

25. • Cloud First
• Microsoft Unless (Azure)
• Minimal Customization (no code)
• Uniform Landscape
Business Case - Serverless
Dynamics CRM
OnlineLMS 365 WebHookReciever Service Bus Queue WebJob Logic Apps
@SteefJan

26. • Costs of implementation
• Race conditions
• Dynamics CRM connector
• Support (who you going to call)
• Preview of technology
Lessons Learned
@SteefJan

28. Cosmos DB Service
Column-family
Document
Graph
Turnkey global distribution
Elastic scale out
of storage & throughput
Guaranteed low latency at the 99th percentile
Comprehensive SLAs
Five well-defined consistency models
Table API
Key-value
MongoDB API
A globally distributed, massively scalable, multi-model database service
Cassandra API

29. Characteristics
@SteefJan

30. • Business Requirements :
• Increase quality
• Justify investment:
• Development
• Deployments
• Support
• No managed services only
DevOps
Business Case – Knowledge base
@SteefJan
• Old knowledge base
implementation struggled
with related content
• Future proof new knowledge
base
• Completely PaaS
• Azure (Pay as you go)

31. High Level Architecture
Editing
CMS
Content
Creation
Knowledge Platform
Integrate Cleanse Match & Merge
Connectors
Ingestion
Standardize
Validation
Meta data
Enrichment
Value decay
XRef
Data quality, workflows & monitoring
Content Constitution
Content collection
Relation
Store
Index
Search
Models
Content API
Knowledge base

32. Solution Building Blocks
Content collection
Azure Search
Document DB
Graph
Integrate Match & Merge Content API
Importer/.NET
Web App/.Net
Search
Index
Relations
Store

33. Solution Architecture
CMS Output
FRONT-END
Content
Related
Content

34. Search Content
FRONT-END
MENU
BAR
Content
Dividend taxSEARCH
Related
Content
Related
Content
Content
B
A
A

35. Cosmos DB/Azure Search Solution Demo
@SteefJan
Content collection
Azure Search
Document DB
Graph
Content API
Web App/.Net
Search
Index
Relations
Store

36. • Not everything in one database model
• Preview
• Costs (Cosmos DB is expensive?)
• Proof of architecture
Lessons Learned
@SteefJan

37. • Azure is evolving in many areas
• AI, Big Data, and Serverless
• Broad range of technology
• Flavor of the day
• Hard to keep up
• It sounds so easy
Wrap up

38. • InfoQ Articles
• Azure AI Platform
• Serverless Computing Azure
• Azure Cosmos DB
• Middleware Fridays
• Integration Mondays
• edX courses
Resources

39. Thank you!
Keep in touch.
Call or mail us. Ask us. Happy to help.