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Building Highly Scalable and Available SaaS Applications with Azure SQL Database

Bill Gibson,Principal Program Manager

Torsten Grabs,Principal Program Manager

Azure SQL Database from 40,000 feet

SaaS applications on SQL Database

Developing and managing large groups of databases

Handling unpredictable workloads

Topics

Built for SaaS and enterprise applications Elastic database model for unpredictable

workloads 99.99% availability with global reach Geo-replication and restore services for

data protection Secure, protected, compliant Fully compatible with SQL Server 2014

databases Easy development, simple self-service

management

Azure SQL Database

DB

DB

DB

DB

DB

PREVIEW

Global, fully managed database-as-a-service built on SQL with near zero administration

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 databasesProgrammingSurface

Isolated databases and elastic database poolsWorkload Elasticity

*The 99.99% availability SLA does not apply to Web and Business editions, which continue to be supported at 99.9% availability.

Demo: Wingtip Tickets SaaS Application

Data isolation, privacy, protection

Scaling to unlimited customers

Unpredictable usage

(Data-intensive) SaaS applications

SaaS provider

customer

end-user

Database independence, isolation simplifies development and management

Security, auditing, monitoring Lifecycle and capacity management Oops recovery Schema unchanged by scale

SQL Database tools and experiences Cross-database query for reporting,

integration Multi-database job execution for

maintenance Visual Studio data tools, SSMS, Azure

portal Familiar programming experiences

SaaS on Azure SQL Database

Database-per-customer

model leverages

SQL Database strengths

Catalog

Cust 1 Cust 2

Cloud ServiceScalable cloud service,

load balanced in normal use

Customer DatabasesScale out data tier by adding additional customer databases

Customer Catalog

Cust 3 Cust N

Wingtip Tickets SaaS Application Architecture

Catalog database holds mapping to customer databases

Catalog

Cust 1 Cust 2

Cloud Service

2. Cloud service looks up customer in catalog

Customer Databases

3. Cloud service routes directly to customer database

Customer Catalog

1. End users connect to cloud service

Cust 3 Cust N

Challenge: Data-Dependent Routing

Multi-database management Define the set of databases that is the

data tier of your application Map customers (tenants) to databases

Data-dependent routing Route incoming requests to the correct

database Ensure correct routing if databases move Cache routing information

Elastic database development and management

Generally Available now Easily accessible download from NuGet

Elastic Database

Tooling

Demo: Scale out, adding a customer

Catalog

Cust 1 Cust 2

Cloud Service

Customer Databases

Customer Catalog

Cust 3 Cust N

Challenge: Predictable Performance Levels

Database performance and throughput

Compute

Wri

tes Read

s

Memory

DTUdatabase

throughput unit

0 0 0

DTUs

2341

Challenge: Predictable Performance Levels• Basic, Standard, and Premium provide increasing

performance levels• Scale via portal, PS, REST APIs, or T-SQL to reflect actual or

anticipated demand• Database remains online while scaling• Hourly billing provides cost efficiency

5 10 20 50 100 250 1000DTUs

B S0 S1S2

S3

P2

P3

P1

125

Challenge: Predictable Performance Variations• Basic, Standard, and Premium provide increasing

performance levels• Scale via portal, PS, REST APIs, or T-SQL to reflect actual or

anticipated demand• Database remains online while scaling• Hourly billing provides cost efficiency

5 10 20 50 100 250 1000DTUs

B S0 S1S2

S3

P2

P3

P1

125

ALTER DATABASE JacarandaJazzCub MODIFY (edition='Standard')Set-AzureSqlDatabase -ResourceGroupName wtpdemo -ServerName wtpcustomers-sc -DatabaseName JacarandaJazzClub -RequestedServiceObjectiveName Standard;

PUT https://management.azure.com/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/microsoft.sql/servers/{serverName}/databases/{databaseName}?api-version=2014-04-01

https://msdn.microsoft.com/en-us/library/azure/mt163571.aspx

{ "location": “<location>”, "properties": { "requestedServiceObjectiveId":“<serviceObjectiveID>“ }}

Request body

T-SQL:

PowerShell:

REST API:

Catalog

Cust 1 Cust 2

Cloud Service

Customer Databases

Customer Catalog

Cust 3 Cust N

Scale databases to match customer needs

Cust 1Cust 2

Cust 3

Challenge: Unpredictable performance, massive scale

Catalog

Cloud Service

Customer Catalog

Cust 3 Cust 4Cust 2Cust 1Cust 9Cust 3 Cust 4

Cust 9Cust 1

Customer Databases

Cust 2 Cust NCust 6 Cust 7Cust 5 Cus Cus

Cust 6 Cust 7 Cust 8Cust 5

Elastic Database Model

200 1200eDTUs

400 800

PREVIEW

• Elastic databases, Elastic database pools• Pooled resources leveraged by many databases• Standard elastic pool provides 200-1200* eDTUs for up to 100*

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

*Additional pricing tiers may be introduced, and the ranges and limits may be increased during the preview

Max per-database burst level

Elastic databases grouped into one or more pools

Catalog

Cloud Service

Customer Catalog

Cust 3 Cust 4Cust 2Cust 1Cust 9Cust 3 Cust 4

Cust 9Cust 1

Customer Databases

Cust 2Cust 6 Cust 7Cust 5 Cus

Cust 6 Cust 7Cust 5 Cust NCusCust 8

Demo: Elastic Database Pools

Challenge: Handling occasional intense workloads

Catalog

Cloud Service

Customer Catalog

Cust 3 Cust 4Cust 2Cust 1 Cust 3 Cust 4Cust 2Cust 9Cust 3 Cust 4

Cust 9Cust 1

Customer Databases

Cust 2Cust 6 Cust 7Cust 5 Cus

Cust 6 Cust 7Cust 5 Cust NCusCust 8

Catalog

Cust 1 Cust 2

Cloud Service

Customer Databases

Cust 3 Cust N

Challenge: Querying across database sets

PowerBI

Customer Catalog

Elastic Query

• 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

Querying across many databases

Elastic Database

Query

Demo: Elastic Query

Catalog

Cust 1 Cust 2

Cloud Service

Customer Databases

Customer Catalog

Cust 3 Cust N

Challenge: Managing database sets

T-SQL

• 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

• Designed for batch processing

Managing many databases

Elastic Database

Jobs

Demo: Elastic Job Management

Global database-as-a-service Predictable workloads Unpredictable workloads at

massive scale for SaaS applications

Easy development, simple self-service management

Azure SQL Database Summary

DB

DB

DB

DB

DB

Start //building SaaS applications in Azure today

Explore Azure SQL DB and its new elastic capabilities designed for SaaS

FIND OUT MORE:

http://azure.microsoft.com/en-us/documentation/articles/sql-database-elastic-pool-portal/

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