1.
Azure SQL Managed Instance
Deep dive
Jovan Popovic
Program Manager, Azure Data

2.
Introduction
Why Managed Instance?

3.
We take care of your database chores
Your work so far How SQL Database helps
Hardware purchasing and management Built-in scale on-demand
Protect data with backups (with health checks and
retention)
Built-in point-in-time restore
High availability implementation Built-in 99.99% SLA and auto-failover
Disaster recovery implementation
Built-in geo-redundancy and geo-
replication
Ensure compliance with standards on your own Built-in easy to use features
Secure your data from malicious users and mistakes Built-in easy to use features
Role out updates and upgrades Built-in updates and upgrades
Monitor, troubleshoot, and manage at scale Built-in easy to use features
Tune and maintain for predictable performance Built-in easy to use features

4.
Managed by MicrosoftManaged by customer
On-premises
Datacenter
Management
Hardware
O/S provision
/patching
Database Provision/
Patch/Scaling
Virtualization
Data
Applications
High availability
/DR/Backups
SQL Server
2017/2019
Infrastructure
(as a Service)
Datacenter
Management
Hardware
Virtualization
O/S
Database Provision/
Patch/Scaling
Data
Applications
High availability
/DR/Backups
Azure SQL
VMs
Platform
(as a Service)
Data
Applications
Datacenter
Management
Hardware
Virtualization
O/S
Database Provision/
Patch/Scaling
High Availability/
DR/Backups
Azure SQL Database
(Managed Instance,
Single DB)
On-premise costs tends to be driven
by hardware and data center
management costs
Infrastructure-as-a-Service reduces
cost categories related to data center
and compute
Platform-as-a-Service off-loads
customers’ most administrative tasks
to Azure, further improving efficiency
with machine-learning capabilities for
performance and security
• Managed Instance: instance-level
deployment for lift-shift existing
apps to Azure, fully backward
compatible
• Single database: database-level
deployment for new apps
Intelligent
performance/security
Machine-learning capability

5.
•
•
License included Reserved capacity
Up to 33%
savingsMonthly cost of
Managed
Instance
Reserved capacity
+
Azure Hybrid Benefit
Up to 80%
savings1

6.
OR
General Purpose
Enterprise Edition
1:4 ratio
Business Critical
Enterprise Edition
1:1 ratio
General Purpose
Standard Edition
1:1 ratio
Exclusive on Azure
Every EE core can
be traded for 4
General Purpose
cores in the cloud!

7.
Azure SQL Database
Database-scoped deployment
option with predictable
workload performance
Shared resource model optimized
for greater efficiency of multi-
tenant applications
Best for apps that require
resource guarantee at
database level
Best for SaaS apps with
multiple databases that
can share resources at
database level, achieving
better cost efficiency
Best for modernization at
scale with low friction and
effort
Elastic PoolSingle Managed Instance
Instance-scoped deployment option
with high compatibility with SQL Server
and full PaaS benefits

8.
Cloud migration requires some changes.
There are dependencies on the existing features.
SQL Agent?
RESTORE?
CLR?
• Fully-fledged SQL
instance with nearly
100% compatibility
with on-prem SQL
Server
• High availability
• Backups
• All PaaS features
• Native VNET
implementation
• Private IP
addresses
• Competitive
• Transparent
• Frictionless
Lift & shift Fully managed Isolation Business model

9.
Virtual cluster
VNet
Azure VM
TDS endpoint
(Private IP)
SQL Server
DB Engine
Management
Agent
LB
ILB
GW
GW
GW
mymi.<clusterid>.database.windows.net
TLS
TLS
TLS
Windows Firewall
SQL Management
(Public IP)
VM
VM
SQL Management (public IP) TDS endpoint (private IP)
SQL

10.
Instance configuration
Demo

11.
Service tiers
General Purpose
Business Critical
HyperScale (future)

12.
General
Purpose
Generic
workloads
Business
Critical
Low-latency
workloads
Fast recovery
Free read-only
replica
Hyper Scale
VLDB (~100TB)
OLTP workloads
Read-only
replicas

13.
Common features
Feature Description
Number of vCores* 8, 16, 24 (Gen 4)
8, 16, 24, 32, 40, 64, 80 (Gen 5)
SQL Server version / build SQL Server (latest available)
RAM 7 GB per vCore (Gen4)
5.1GB per vCore (Gen5)
Max storage size 1, 2, 4, 8 TB
Max storage per database Determined by the max storage
size per instance
Number of data files (ROWS)
per the database
Multiple
Number of log files (LOG)
per database
1
Managed automated backups Yes
SLA 99.99%
High-availability Yes
Point-in-time restore Yes
Built-in instance and database
monitoring and metrics
Yes
Automatic software patching Yes
Vnet Yes (Azure Resource Manager
deployment only)

14.
General Purpose
Feature Description
Min storage size 32 GB
Max storage size 8 TB
Max storage per database Determined by the max storage
size per instance
Expected storage IOPS 500-7500 IOPS per data file
(depends on data file).
See Premium Storage
Expected storage latency 5-10 ms
Managed automated backups Yes (Full, Differential, Log)
High Availability 99.99% - Based on remote storage
and Azure Service Fabric
Max database files 280
In-memory OLTP No
Read-replica No(only with GeoReplication)
TempDB 24GB/vCore

15.
Premium Storage
Disk size 128 GiB 256 GiB 512 GB 1 TiB 2 TB
IOPS per disk 500 1100 2300 5000 7500
Throughput
per disk
100 MiB/sec 125 MiB/sec 150 MiB/sec 200 MiB/sec 250 MiB/sec
 Share-nothing files placed on
Azure Premium disks
 Replicated premium storage
 Performance depend on size
 TempDB on local SSD

16.
General
guidelines
 Short transactions
 Batch updates
 Table/index partitioning
 Potentially higher RTO
 (Preview) Accelerated database
recovery

17.
Business Critical
Feature Description
Number of vCores* 8, 16, 24, 32 (Gen 4)
8, 16, 24, 32, 40, 64, 80 (Gen 5)
Additional features In-Memory OLTP
1 additional read-only replica (Read
Scale-Out)
Min storage size 32 GB
Max storage size •Gen 4: 1 TB (all vCore sizes
Gen 5:1 TB for 8, 16 vCores
•2 TB for 24 vCores
•4 TB for 32, 40, 64, 80 vCores
Max TempDB size Determined by the max storage size
per instance
Number of data files Unlimited
Number of log files (LOG) per
database
1
Managed automated backups Yes (Full, Incremental, Log)
HA Based on Always On Availability
Groups and Azure Service Fabric
Expected write latency < 3ms
Recovery Fast (failover to secondary)
Business Critical service tier: collocated compute and storage
Always On AG
SQL
SQL
SQL
SQL
Super-fast SSD
Secondary replica Primary replica
Secondary replicaSecondary replica

18.
Transaction
processing
Business Critical service tier: collocated compute and storage
Always On AG
SQL
SQL
SQL
SQL
Super-fast SSD
Secondary replica Primary replica
Secondary replicaSecondary replica
 Primary node is updated
 Log record sent to all secondaries
 2 of 3 nodes must acknowledge
 Update is confirmed
 All secondaries apply log record
 Avg. latency < 3ms

19.
Data PagesData Pages
File Snapshots File Snapshots File Snapshots
Log Cache
Log
Service
Data PagesData Pages
SQL SQL SQL

20.
Migration to
Managed Instance
DMA, RESTORE, DMS

21.
Instance subnet
SQL Instance #1
storage account
RESTORE 12 BACKUP TO AZURE
SQL Server on VM/on-prem
Restore
Service
3
MANAGED
RESTORE

22.
Subnet used for MI Subnet used for DMS
On-Premise
Cloud network
SQL DB
Managed Instance
Azure Blob Storage
SMB Network Share
Provide Tail-Log backup, initiate
cutover in DMS and change the
application connection strings

23.
Install-Module dbatools
Copy-DbaSysDbUserObject -Source $src -Destination $dest
Copy-DbaDbMail -Source $src -Destination $dest
Copy-DbaAgentOperator -Source $src -Destination $dest
Copy-DbaAgentJobCategory -Source $src -Destination $dest
Copy-DbaAgentSchedule -Source $src -Destination $dest
Copy-DbaAgentJob -Source $src -Destination $dest
Get-DbaLogin -SqlInstance $src -SqlCredential $srcLogin -Type SQL |
Copy-DbaLogin -Destination $dest -DestinationSqlCredential $destLogin

24.
Migration to
Managed Instance
Demo

25.
Maintenance and monitoring
What to do after migration?

26.
Azure SQL Analytics
Performance monitoring dashboard
Telemetry
stored for
30* days
Custom
Alerting
Azure
Storage
Event
Hub
Azure SQL
database
Stream
Analytics
Function
s
App
services Custom integrations
Intelligent
performance
monitoring
Partner
monitoring tools
Log
Analytics
queries

27.
Monitoring
Demo

28.
Data Never Rests.
Neither do you.
Time to learn.
aka.ms/DataAccessGuide