1. 04 | Performance and the Premium SKU
Chris Auld | CTO – Intergen Limited, Azure MVP
Greg Leake | Director, SQL Server Product Management

2. Module Overview Raw Performance vs Scale
Scale Up and Scale Out in WASD
Performance Principles

3. Point 1:
Raw Performance vs Scale

4. Raw Performance Demo [Greg]

5. Point 1:
Scale Up vs Scale Out
Premium SKU

6. Available today, Premium with reserved capacity
4/30/2019 7:34 PM
Available today, Premium with reserved capacity
Two classes of cloud apps emerging
Cost-effective & scalable: Web & Business editions deliver a managed database service for apps that have low demands or require cost-effective scale-out.
Business-class: Premium edition delivers fixed reserved capacity for apps that need:
Sustained resource demands
Many concurrent requests
Predictable latency
More predictable performance
DB 1
DB 2
DB 3
Web & Business Editions
Shared Resources
Reserved Resources
Premium Edition
DB 1
DB 2
DB 3

7. SQL Database Reserved Capacity
Web & Business editions
Primary
Secondary
Secondary
Customer databases share hardware resources
Workload demands vary by customer DB, and by day
Unpredictable performance
Premium edition w/ reserved capacity
Primary
Secondary
Secondary
Fixed amount of reserved capacity for SQL Database primary and 2 built-in replicas
Ideal for business-class applications:
have high peak loads
support many concurrent requests
require low latency
Offered in two sizes for preview: P1 & P2
Primary
Secondary
Secondary
Primary
Secondary
Secondary

8. SQL Database Scale Out Massive Scale
Engage 1000s of nodes within the cluster
10 GB DB
10 GB DB
10 GB DB
10 GB DB
10 GB DB
10 GB DB
Simplified Development and Administration
Robust programming & connectivity model for creating dynamic applications
10 GB DB
10 GB DB
10 GB DB
10 GB DB
10 GB DB
10 GB DB
100 GB Database
Simplified Multi-tenant Database Tiers
Multi-tenancy provides great efficiencies by increasing density of tenants per database
Applications don’t have to make a static decision about tenant placement
1,000 TPS
10,000 TPS

9. Point 1:
Performance Principles

10. Some general principles
Chunky not chatty
Batch work
Get all data at once
Hand all writes back up at once. XML, Table Valued Params etc…
Caching
Minimize unnecessary reads
How fresh does data for a web app really have to be? 1s? 10s?
There are few physical levers to pull
Be very sensitive to IO

11. Instrumenting your app
TechEd 2013
4/30/2019 7:34 PM
Instrumenting your app
Snapshotting DMVs
Collecting XEvents DB DB DB DB DW DB DB DB DB DB
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12. Other places to get info
SQL Database Portal
Query performance aggregates (from DMV)
Connection activity including any throttle events (from sys tables)
Execution plans
Special wait stats
SE_REPL_SLOW_SECONDARY_THROTTLE
SE_REPL_COMMIT_ACK
Call Support
Need session info (see next session)

13. DMVs for Performance Monitoring
Sys.dm_exec_requests
Currently running queries
Sys.dm_exec_query_stats
Aggregate query performance
Sys.dm_exec_query_plan
Execution plan
Sys.dm_db_wait_stats
Database level wait stats
“missing index” DMOs
Possible indexes for performance

14. Additional Resources
DBI 337 from TechEd Query Performance Tuning in WASD DBI-B337
DBI 330 from TechEd Cloud Optimizing T-SQL DBI-B330