1. Elastic database patterns for SaaS applications in Azure
Microsoft 2016
7/2/2018 9:57 AM
BRK3064
Elastic database patterns for SaaS applications in Azure
Torsten Grabs
Principal Program Manager
© 2016 Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

2. Agenda Overview of Azure SQL Database
7/2/2018 9:57 AM
Agenda
Overview of Azure SQL Database
Canonical application architecture in Azure
Azure SQL Database concepts
Data Models for Elastic Database Apps
Classification of database applications in Azure
Data tier design patterns for multi-tenant and SaaS applications
Design Patterns for Elastic Database Apps
Manage database capacity at scale
Query across many databases
Orchestrating management tasks at scale
Managing data distribution
Transactions across databases
Summary
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3. 01 | Azure SQL Database

4. Canonical Azure Application Model
IoT
Canonical Azure Application Model
Application built on
Microsoft Azure
Network tier
Azure
Traffic Manager
App tier
Azure
Web Jobs
Azure
Web Sites
Azure
Web Roles
Data tier
Azure
SQL Database
Azure
DocumentDB
Azure
HDInsight
Streaming
Azure
Storage
Azure Search

5. Build 2015
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Azure SQL Database
Fully managed SQL database service so you can focus on your business
Built for SaaS and Enterprise applications
Predictable performance & pricing
99.99% availability built-in
Geo-replication and restore services for data protection
Secure and compliant for your sensitive data
Fully compatible with SQL Server 2014 databases
© 2015 Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

6. Azure SQL Database Service Tiers
Build 2015
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Azure SQL Database Service Tiers
Basic
Standard
Premium
Light transactional workloads
Go-to option for most business applications
High throughput and business-critical databases
Intended Use
99.99%
Availability • ••
•••
Performance
Fully compatible with SQL Server 2014 databases
Programming Surface
Isolated databases and elastic database pools
Workload Elasticity
© 2015 Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

7. Singleton vs Elastic Databases
Singleton databases
Fixed resource reservations
Optimized for apps with predictable performance demands
Seamless scale up and down through service tiers
Elastic pool database
Individual database resources fluctuate dynamically with capacity demands
For workloads with unpredictable database resource consumption
Pool resources shared among a group of databases
Helps avoid overprovisioning databases to meet peak demand
Elastic database pool can host hundreds of databases
Resources and cost budget are per pool
Cost are independent of database count in pool

8. Demo
Creating an Azure SQL Database

9. 02 | Data Models for Elastic Database Applications

10. Application Segments in SQL Database
ISVs Going SaaS & Cloud-born SaaS
Enterprise apps serving customers
Enterprise apps
serving employees
Multi-tenant software application using thousands of databases to service their cloud hosted customers
Applications designed for elasticity and scale with efficient and agile operational model
Line of business applications empowering employees while remove CAPEX, reduce OPEX

11. SaaS provider customer (tenant) end-user
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Data-intensive SaaS applications
SaaS provider customer (tenant) end-user
Scaling to unlimited customers
Data isolation, privacy, protection
Unpredictable usage across customers
© 2015 Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

12. Multi-tenant Data Models
Desirable application patterns with ideal tenant isolation properties and most cost-effective resource sharing
Resource sharing
Tenant Isolation
Little resource sharing
Lots of resource sharing
Little isolation
Lots of isolation
Shared - Single
All tenants in a single(large) database
Database-per-tenant
Every tenant gets its own DB
Shared-Sharded
Multiple tenants per DB, sharded across many DBs
Increasing deployment &
manageability cost
Increasing cost for
tenant isolation
DevOps

13. Designed for SaaS: Azure SQL DB’s Elastic Capabilities
Tenant Isolation
Elastic database tools & capabilities
Resource sharing
Little resource sharing
Lots of resource sharing
Little isolation
Lots of isolation
Shared - Single
All tenants in a single(large) database
Database-per-tenant
Every tenant gets its own DB
Shared-Sharded
Multiple tenants per DB, sharded across many DBs
Increasing deployment &
manageability cost
Increasing cost for
tenant isolation
DevOps
Database-per-tenant with Elastic Pools
Tenant isolation combined with sharing resources in an elastic database pool

14. Demo
WingTip Tickets SaaS Application

15. 03 | Typical Design Patterns with Elastic Database SaaS Applications

16. Typical elastic database application architecture
Scalable cloud service, load balanced in normal use
Cloud Service
Catalog database holds mapping to customer databases
Catalog
Customer Catalog
Cust 1
Cust 2
Cust 3
Cust N
Scale out data tier by adding additional customer databases
Customer Databases

17. Pattern 1: Manage database capacity with many dbs
Cloud Service
Catalog
Customer Catalog
Cust 1
Cust 2
Cust 3
Cust 4
Cust 5
Cust 6
Cust 7
Cust 9
Cust 9
Cus
Cus
Cust N
Cust 1
Cust 2
Cust 3
Cust 4
Cust 5
Cust 6
Cust 7
Cust 8
Customer Databases

18. Elastic Pools: Manage database resources
Elastic databases, Elastic database pools
Pooled resources leveraged by many databases
Example: Standard elastic pool
Standard elastic pool provides * eDTUs for up to 400 databases
Elastic Standard databases can burst up to 100 eDTUs (S3 level)
Create/configure pool via portal, PowerShell, REST APIs
Move databases in/out using portal, PowerShell, REST APIs, T-SQL
Databases remain online throughout
Monitoring and alerting is available on both pool and databases

19. Demo
Elastic Database Pools

20. Pattern 2: Querying across many databases
Cloud Service
PowerBI
Catalog
Customer Catalog
Elastic
Query
Cust 1
Cust 2
Cust 3
Cust N
Customer Databases

21. Elastic Query: Querying across databases
Connect to a single SQL DB database using familiar SQL DB connection strings
Simple setup with T-SQL DDL
Transparent querying of many databases from a single database
Familiar programming experience with T-SQL, ADO. NET Linq, EF etc.
Use familiar development and BI tools to query across many databases
Designed for interactive querying

22. Demo
Elastic Database Query

23. Pattern 3: Managing many databases
Cloud Service
Catalog
Customer Catalog
T-SQL
Cust 1
Cust 2
Cust 3
Cust N
Customer Databases

24. Elastic Jobs: Managing many databases
Apply changes or administrative operations to many databases
Use familiar T-SQL scripts to define jobs
Built-in automatic retries in case of transient failures
Tightly integrated with elastic pools in the new Azure Portal
Powershell experience for more control
Designed for batch processing

25. Demo
Elastic Database Jobs

26. Pattern 4: Managing data distribution
1. End users connect to cloud service
Cloud Service
2. Cloud service looks up customer in catalog
3. Cloud service routes directly to customer database
Catalog
Customer Catalog
Cust 1
Cust 2
Cust 3
Cust N
Customer Databases

27. Elastic Client Library: Manage data distribution
Define and manage data distribution to databases
Define the set of databases that is the data tier of your application
Map customers (tenants) to databases
Route database requests (data-dependent routing)
Route incoming requests to the correct database
Ensure correct routing if databases move
Performance: Cache routing information

28. Demo
Elastic Database Client Library

29. Pattern 5: Transactions across databases
1. End users connect to cloud service
Cloud Service
2. Changes several databases as part of the request
Catalog
Customer Catalog
Cust 1
Cust 2
Cust 3
Cust N
Customer Databases

30. Elastic Transactions: Atomic changes across databases
With Elastic transactions, you can run transactions that stretch across several databases in SQL DB
Example use cases:
Financial transactions across tenants in a SaaS application
As part of order processing, updating the sales and inventory databases
Familiar development experience with .NET
Starting with .NET 4.6.1

31. Summary

32. Main take-aways Azure SQL Database
SQL Server-based relational database in Azure with pay-as-you-go elasticity
Data Models for Elastic Database Apps
Different design patterns for data tiers from scale-up to scale-out
Tenant isolation and density requirements define the options for multi-tenant and SaaS applications
Design Patterns
Manage database capacity at scale: Elastic Database Pools
Query across many databases: Elastic Database Query
Orchestrating management tasks at scale: Elastic Database Jobs
Managing data distribution: Elastic Database Client Library
Transactions across databases: Elastic Database Transactions

33. References
Elastic Database overview: database-elastic-scale-introduction/
Elastic Pools: guidance/
Elastic Query: query-overview/
Elastic Jobs: overview/
Elastic Tools: database-client-library/
Elastic Transactions: elastic-transactions-overview/

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36. 7/2/2018 9:57 AM
© 2014 Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.