SlideShare a Scribd company logo
SQL Azure BCDR
Harsh Chawla
Agenda
• What’s BCDR
• BCDR for SQL Azure DB
• Types of Recovery for Azure DB
Business continuity problem
Enabling the application to continuously operate during
unplanned and planned disruptive events
BCDR for on-premises SQL Server
• Maintaining Full Database / Differential / T-log backups
• SQL Cluster
• Log Shipping
• Database Mirroring
• AlwaysON
• Replication
• Database Snapshots
BCDR for SQL Azure DB
• No full/differential/t-log backup support
• No AlwaysON / SQL Cluster / Mirroring / log shipping etc.
Then How?
SQL Azure DB – Database as a Service
• Microsoft takes the responsibility to keep your data safe
• With every tier uptime SLA defined: 99.99% uptime
• Downtime for 24X7 applications can cause huge financial loss
Performance Tier Uptime SLA
Basic 99.99%
Standard 99.99%
Premium 99.99%
Web 99.9%
Business 99.9%
Create a database copy
Ensure transactional consistent copy
Export backup to storage account
Export to customer storage account
Repeat as needed
Create additional archive copy as needed
Export a database
Flexible and portable option but incurs operational overhead
Pros Cons
Portable data format – logical
schema and data
Need workaround (DB-Copy) to
ensure consistent database
Low cost Slow to restore
Export a database
Types of Recovery
• Recovery from Machine Failure
• Recovery from accidental errors - Oops recovery
• Recovery from regional/datacenter outage
Reads are completed at the primary
Writes are replicated to secondaries
Single logical database
Write
Write Ack
Ack
Read
value write
Ack
Critical capabilities:
 Create new replica
 Synchronize data
 Stay consistent
 Detect failures
 Failover
 99.99% availability
Recovery from Machine Failure
Automatic backup
Full backups weekly, different backup daily,
log backups every 5 minutes
Daily and weekly backups automatically
uploaded to geo-redundant Azure Storage
Self-service restore
Point-in-time up to a second granularity
REST API, PowerShell, or Portal
Creates a new database in the same logical server
Tiered retention policy
Basic - 7 days
Standard - 14 days
Premium - 35 days
No additional cost to retain backups
Geo- replicated
Restore from backup
SQL Database
backups
sabcp01bl21
Azure Storage
sabcp01bl21
Oops recovery - Point-in-time restore
Restores the database to the point of deletion
(earlier backups are deleted)
Creates a new database on the server used by
the original database
You can choose to failover to the restored
database or use scripts to recover data
Recovery after accidental database deletion
Self-service
restore to point
of deletion
Backups retained for 7/14/35 days
Restore deleted database
Now -7 daysTime
Geo-restore
Self-service restore API
Restores last daily backup
No extra cost, no capacity
guarantee
RTO>=24h, RPO=24h
Database URL will change after
restore
Geo- replicated
SQL Database
backups
sabcp01bl21
Azure Storage
sabcp01bl21
Restore to any
Azure region
Demo!!
East US
US West
LS ABC
Failover and
activation of
secondary
(during incident) West US
DB
LS XYZ
DB
• RTO<2h, RPO<5m
• REST and PowerShell API to opt-in and failover
• Automatic data replication and synchronization
• DMV+REST to monitor and guide failover decisions
• Single offline secondary with matching performance level in
the DR paired region
North Central
US
LS OPQ
DB
Recovery from regional/datacenter outage
Standard Replication
Active Geo-replication
LS ABC
South Central US
West US
Failover and
activation of
secondary (any
time)
East US
DB1
LS XYZ LS OPQ
• RTO<1h, RPO<5m
• REST and PowerShell API to opt-in and failover
• DMV+REST to monitor and guide failover decisions
• Automatic data replication and synchronization
• Up to 4 online secondary databases with matching
performance level in any region
DB1
DB1.old
North Central US
LS DFE
DB1
DB1
Demo!!
BCDR Tiered Model
B
Transactions
per hour
Transactions per
minute
Transactions per
second
)
ERT*<12h
RPO**<1h
ERT<12h
RPO<1h
ERT<12h
RPO<1h
ERT<30s RPO<5s ERT<30s
RPO<5s
ERT<30s
RPO<5s
* Estimated Recovery Time (ERT) - The estimated duration for the database to be fully functional after a restore/failover request.
** Recovery Point Objective (RPO) - The amount of most recent data changes (time interval) the application could lose after recovery
Q & A!!
Thank You!

More Related Content

What's hot (20)

PPTX
Store Data in Azure SQL Database
Suhail Jamaldeen
 
PDF
Whats new in Columnstore Indexes for SQL Server 2017
Niko Neugebauer
 
PPTX
Tuning your PostgreSQL Database
Sameer Kumar
 
PDF
Countdown to PostgreSQL v9.5 - Foriegn Tables can be part of Inheritance Tree
Ashnikbiz
 
PDF
SQLServer Database Structures
Antonios Chatzipavlis
 
PDF
An Introduction to Amazon’s DynamoDB
Knoldus Inc.
 
PDF
ETL with Clustered Columnstore - PASS Summit 2014
Niko Neugebauer
 
PDF
Building diagnostic queries using DMVs and DMFs
Antonios Chatzipavlis
 
PPTX
Scylla Summit 2018: Scylla 3.0 and Beyond
ScyllaDB
 
PPT
Performance Monitoring And Tuning In Sql Server 2008 Tsql
coolajju143
 
PPTX
How We Made Scylla Maintenance Easier, Safer and Faster
ScyllaDB
 
PPTX
IMC Summit 2016 Breakout - Per Minoborg - Work with Multiple Hot Terabytes in...
In-Memory Computing Summit
 
PPTX
IMC Summit 2016 Breakout - Brian Bulkowski - NVMe, Storage Class Memory and O...
In-Memory Computing Summit
 
PDF
Migrating Oracle database to PostgreSQL
Umair Mansoob
 
PPT
Ssis optimization –better designs
varunragul
 
PPTX
High-Load Storage of Users’ Actions with ScyllaDB and HDDs
ScyllaDB
 
PDF
Columnstore improvements in SQL Server 2016
Niko Neugebauer
 
PDF
Scylla Summit 2016: ScyllaDB, Present and Future
ScyllaDB
 
PPTX
SQL Server 2008 R2 - Implementing High Availabilitty
Rishu Mehra
 
PPTX
ClustrixDB: how distributed databases scale out
MariaDB plc
 
Store Data in Azure SQL Database
Suhail Jamaldeen
 
Whats new in Columnstore Indexes for SQL Server 2017
Niko Neugebauer
 
Tuning your PostgreSQL Database
Sameer Kumar
 
Countdown to PostgreSQL v9.5 - Foriegn Tables can be part of Inheritance Tree
Ashnikbiz
 
SQLServer Database Structures
Antonios Chatzipavlis
 
An Introduction to Amazon’s DynamoDB
Knoldus Inc.
 
ETL with Clustered Columnstore - PASS Summit 2014
Niko Neugebauer
 
Building diagnostic queries using DMVs and DMFs
Antonios Chatzipavlis
 
Scylla Summit 2018: Scylla 3.0 and Beyond
ScyllaDB
 
Performance Monitoring And Tuning In Sql Server 2008 Tsql
coolajju143
 
How We Made Scylla Maintenance Easier, Safer and Faster
ScyllaDB
 
IMC Summit 2016 Breakout - Per Minoborg - Work with Multiple Hot Terabytes in...
In-Memory Computing Summit
 
IMC Summit 2016 Breakout - Brian Bulkowski - NVMe, Storage Class Memory and O...
In-Memory Computing Summit
 
Migrating Oracle database to PostgreSQL
Umair Mansoob
 
Ssis optimization –better designs
varunragul
 
High-Load Storage of Users’ Actions with ScyllaDB and HDDs
ScyllaDB
 
Columnstore improvements in SQL Server 2016
Niko Neugebauer
 
Scylla Summit 2016: ScyllaDB, Present and Future
ScyllaDB
 
SQL Server 2008 R2 - Implementing High Availabilitty
Rishu Mehra
 
ClustrixDB: how distributed databases scale out
MariaDB plc
 

Viewers also liked (11)

PPTX
State of Azure Sql Database
Marco Parenzan
 
PDF
GAB 2016 ASR
Carlos Mayol
 
PDF
Where Rainmaker's Thrive - Ingram Micro Cloud
Ingram Micro Cloud
 
PDF
Practical Guide to Business Continuity & Disaster Recovery
atif_kamal
 
PDF
Ingram Micro IaaS Playbook
Stephanie Sorrentino
 
PPTX
Microsoft Azure in der Praxis
Yvette Teiken
 
PPTX
Ingram Micro - Presentacion evento Datalogic - Enero 2017
ITSitio.com
 
PDF
Cloud University: Ingram Micro
Ingram Micro Cloud
 
PDF
Comp tia cloud foundations managing your customer's clouds
Ingram Micro Cloud
 
PPTX
Simplify your BCDR strategy with Azure
Muditha Chathuranga
 
PPTX
CSEU - Enabling Your Channel Business with Social
Ingram Micro Cloud
 
State of Azure Sql Database
Marco Parenzan
 
GAB 2016 ASR
Carlos Mayol
 
Where Rainmaker's Thrive - Ingram Micro Cloud
Ingram Micro Cloud
 
Practical Guide to Business Continuity & Disaster Recovery
atif_kamal
 
Ingram Micro IaaS Playbook
Stephanie Sorrentino
 
Microsoft Azure in der Praxis
Yvette Teiken
 
Ingram Micro - Presentacion evento Datalogic - Enero 2017
ITSitio.com
 
Cloud University: Ingram Micro
Ingram Micro Cloud
 
Comp tia cloud foundations managing your customer's clouds
Ingram Micro Cloud
 
Simplify your BCDR strategy with Azure
Muditha Chathuranga
 
CSEU - Enabling Your Channel Business with Social
Ingram Micro Cloud
 
Ad

Similar to SQL Azure DB - BCDR (20)

PDF
Azure SQL Database for the SQL Server DBA - Azure Bootcamp Athens 2018
Antonios Chatzipavlis
 
PPTX
JoTechies - Azure SQL DB
JoTechies
 
PDF
Be05 introduction to sql azure
DotNetCampus
 
PPTX
Azure SQL Database & Azure SQL Data Warehouse
Mohamed Tawfik
 
PDF
A Tour of Azure SQL Databases (NOVA SQL UG 2020)
Timothy McAliley
 
PPTX
Azure data platform overview
Alessandro Melchiori
 
PDF
Eric Moreau - Samedi SQL - Backup dans Azure et BD hybrides
MSDEVMTL
 
PPTX
SQL Server 2014 Backup to Azure - SQL Saturday CR 2015
Christian Sanabria MSc, PMP, CSM
 
PDF
SQL server Backup Restore Revealed
Antonios Chatzipavlis
 
PPTX
005-Business-Continuity-DR-EDM.pptx
NaradaDilshan
 
PDF
Azure SQL Database
nj-azure
 
PPTX
Azure Site Recovery Loves Business Continuity
Michael Frank
 
PPTX
01_DP-300T00A-Intro.pptx
KareemBullard1
 
PDF
Azure SQL Database
rockplace
 
PPTX
SQL on Azure
Maximiliano Accotto
 
PPTX
GWAB 2015 - Data Plaraform
Marcelo Paiva
 
PPTX
Microsoft Cloud BI Update 2012 for SQL Saturday Philly
Mark Kromer
 
PPTX
Implement a disaster recovery solution for your on-prem SQL with Azure? Easy!
Marco Obinu
 
PPTX
Introducing Azure SQL Database
James Serra
 
PDF
Backup and Restore SQL Server Databases in Microsoft Azure
Datavail
 
Azure SQL Database for the SQL Server DBA - Azure Bootcamp Athens 2018
Antonios Chatzipavlis
 
JoTechies - Azure SQL DB
JoTechies
 
Be05 introduction to sql azure
DotNetCampus
 
Azure SQL Database & Azure SQL Data Warehouse
Mohamed Tawfik
 
A Tour of Azure SQL Databases (NOVA SQL UG 2020)
Timothy McAliley
 
Azure data platform overview
Alessandro Melchiori
 
Eric Moreau - Samedi SQL - Backup dans Azure et BD hybrides
MSDEVMTL
 
SQL Server 2014 Backup to Azure - SQL Saturday CR 2015
Christian Sanabria MSc, PMP, CSM
 
SQL server Backup Restore Revealed
Antonios Chatzipavlis
 
005-Business-Continuity-DR-EDM.pptx
NaradaDilshan
 
Azure SQL Database
nj-azure
 
Azure Site Recovery Loves Business Continuity
Michael Frank
 
01_DP-300T00A-Intro.pptx
KareemBullard1
 
Azure SQL Database
rockplace
 
SQL on Azure
Maximiliano Accotto
 
GWAB 2015 - Data Plaraform
Marcelo Paiva
 
Microsoft Cloud BI Update 2012 for SQL Saturday Philly
Mark Kromer
 
Implement a disaster recovery solution for your on-prem SQL with Azure? Easy!
Marco Obinu
 
Introducing Azure SQL Database
James Serra
 
Backup and Restore SQL Server Databases in Microsoft Azure
Datavail
 
Ad

More from Harsh Chawla (8)

PPTX
Alwayson AG enhancements
Harsh Chawla
 
PPTX
Windows clustering and quorum basics
Harsh Chawla
 
PPTX
AlwaysON Basics
Harsh Chawla
 
PDF
AlwaysON FCI
Harsh Chawla
 
PPTX
Query tuning optimization
Harsh Chawla
 
PPTX
Storage spaces - for SQL Server Workloads
Harsh Chawla
 
PDF
Pssdiag and sql nexus
Harsh Chawla
 
PPTX
Manage sql server proactively
Harsh Chawla
 
Alwayson AG enhancements
Harsh Chawla
 
Windows clustering and quorum basics
Harsh Chawla
 
AlwaysON Basics
Harsh Chawla
 
AlwaysON FCI
Harsh Chawla
 
Query tuning optimization
Harsh Chawla
 
Storage spaces - for SQL Server Workloads
Harsh Chawla
 
Pssdiag and sql nexus
Harsh Chawla
 
Manage sql server proactively
Harsh Chawla
 

Recently uploaded (20)

PPTX
apidays Helsinki & North 2025 - API access control strategies beyond JWT bear...
apidays
 
PPTX
apidays Singapore 2025 - The Quest for the Greenest LLM , Jean Philippe Ehre...
apidays
 
PDF
Research Methodology Overview Introduction
ayeshagul29594
 
PDF
1750162332_Snapshot-of-Indias-oil-Gas-data-May-2025.pdf
sandeep718278
 
PPTX
05_Jelle Baats_Tekst.pptx_AI_Barometer_Release_Event
FinTech Belgium
 
PDF
Using AI/ML for Space Biology Research
VICTOR MAESTRE RAMIREZ
 
PPTX
Powerful Uses of Data Analytics You Should Know
subhashenia
 
PDF
OOPs with Java_unit2.pdf. sarthak bookkk
Sarthak964187
 
PPTX
b6057ea5-8e8c-4415-90c0-ed8e9666ffcd.pptx
Anees487379
 
PPTX
apidays Singapore 2025 - Generative AI Landscape Building a Modern Data Strat...
apidays
 
PDF
Driving Employee Engagement in a Hybrid World.pdf
Mia scott
 
PPTX
big data eco system fundamentals of data science
arivukarasi
 
PPTX
apidays Helsinki & North 2025 - From Chaos to Clarity: Designing (AI-Ready) A...
apidays
 
PDF
Optimizing Large Language Models with vLLM and Related Tools.pdf
Tamanna36
 
PDF
The Best NVIDIA GPUs for LLM Inference in 2025.pdf
Tamanna36
 
PPTX
apidays Helsinki & North 2025 - Agentic AI: A Friend or Foe?, Merja Kajava (A...
apidays
 
PPTX
SHREYAS25 INTERN-I,II,III PPT (1).pptx pre
swapnilherage
 
PPTX
How to Add Columns and Rows in an R Data Frame
subhashenia
 
PPTX
04_Tamás Marton_Intuitech .pptx_AI_Barometer_2025
FinTech Belgium
 
PPTX
01_Nico Vincent_Sailpeak.pptx_AI_Barometer_2025
FinTech Belgium
 
apidays Helsinki & North 2025 - API access control strategies beyond JWT bear...
apidays
 
apidays Singapore 2025 - The Quest for the Greenest LLM , Jean Philippe Ehre...
apidays
 
Research Methodology Overview Introduction
ayeshagul29594
 
1750162332_Snapshot-of-Indias-oil-Gas-data-May-2025.pdf
sandeep718278
 
05_Jelle Baats_Tekst.pptx_AI_Barometer_Release_Event
FinTech Belgium
 
Using AI/ML for Space Biology Research
VICTOR MAESTRE RAMIREZ
 
Powerful Uses of Data Analytics You Should Know
subhashenia
 
OOPs with Java_unit2.pdf. sarthak bookkk
Sarthak964187
 
b6057ea5-8e8c-4415-90c0-ed8e9666ffcd.pptx
Anees487379
 
apidays Singapore 2025 - Generative AI Landscape Building a Modern Data Strat...
apidays
 
Driving Employee Engagement in a Hybrid World.pdf
Mia scott
 
big data eco system fundamentals of data science
arivukarasi
 
apidays Helsinki & North 2025 - From Chaos to Clarity: Designing (AI-Ready) A...
apidays
 
Optimizing Large Language Models with vLLM and Related Tools.pdf
Tamanna36
 
The Best NVIDIA GPUs for LLM Inference in 2025.pdf
Tamanna36
 
apidays Helsinki & North 2025 - Agentic AI: A Friend or Foe?, Merja Kajava (A...
apidays
 
SHREYAS25 INTERN-I,II,III PPT (1).pptx pre
swapnilherage
 
How to Add Columns and Rows in an R Data Frame
subhashenia
 
04_Tamás Marton_Intuitech .pptx_AI_Barometer_2025
FinTech Belgium
 
01_Nico Vincent_Sailpeak.pptx_AI_Barometer_2025
FinTech Belgium
 

SQL Azure DB - BCDR

  • 2. Agenda • What’s BCDR • BCDR for SQL Azure DB • Types of Recovery for Azure DB
  • 3. Business continuity problem Enabling the application to continuously operate during unplanned and planned disruptive events
  • 4. BCDR for on-premises SQL Server • Maintaining Full Database / Differential / T-log backups • SQL Cluster • Log Shipping • Database Mirroring • AlwaysON • Replication • Database Snapshots
  • 5. BCDR for SQL Azure DB • No full/differential/t-log backup support • No AlwaysON / SQL Cluster / Mirroring / log shipping etc. Then How?
  • 6. SQL Azure DB – Database as a Service • Microsoft takes the responsibility to keep your data safe • With every tier uptime SLA defined: 99.99% uptime • Downtime for 24X7 applications can cause huge financial loss Performance Tier Uptime SLA Basic 99.99% Standard 99.99% Premium 99.99% Web 99.9% Business 99.9%
  • 7. Create a database copy Ensure transactional consistent copy Export backup to storage account Export to customer storage account Repeat as needed Create additional archive copy as needed Export a database Flexible and portable option but incurs operational overhead Pros Cons Portable data format – logical schema and data Need workaround (DB-Copy) to ensure consistent database Low cost Slow to restore Export a database
  • 8. Types of Recovery • Recovery from Machine Failure • Recovery from accidental errors - Oops recovery • Recovery from regional/datacenter outage
  • 9. Reads are completed at the primary Writes are replicated to secondaries Single logical database Write Write Ack Ack Read value write Ack Critical capabilities:  Create new replica  Synchronize data  Stay consistent  Detect failures  Failover  99.99% availability Recovery from Machine Failure
  • 10. Automatic backup Full backups weekly, different backup daily, log backups every 5 minutes Daily and weekly backups automatically uploaded to geo-redundant Azure Storage Self-service restore Point-in-time up to a second granularity REST API, PowerShell, or Portal Creates a new database in the same logical server Tiered retention policy Basic - 7 days Standard - 14 days Premium - 35 days No additional cost to retain backups Geo- replicated Restore from backup SQL Database backups sabcp01bl21 Azure Storage sabcp01bl21 Oops recovery - Point-in-time restore
  • 11. Restores the database to the point of deletion (earlier backups are deleted) Creates a new database on the server used by the original database You can choose to failover to the restored database or use scripts to recover data Recovery after accidental database deletion Self-service restore to point of deletion Backups retained for 7/14/35 days Restore deleted database Now -7 daysTime
  • 12. Geo-restore Self-service restore API Restores last daily backup No extra cost, no capacity guarantee RTO>=24h, RPO=24h Database URL will change after restore Geo- replicated SQL Database backups sabcp01bl21 Azure Storage sabcp01bl21 Restore to any Azure region
  • 14. East US US West LS ABC Failover and activation of secondary (during incident) West US DB LS XYZ DB • RTO<2h, RPO<5m • REST and PowerShell API to opt-in and failover • Automatic data replication and synchronization • DMV+REST to monitor and guide failover decisions • Single offline secondary with matching performance level in the DR paired region North Central US LS OPQ DB Recovery from regional/datacenter outage Standard Replication
  • 15. Active Geo-replication LS ABC South Central US West US Failover and activation of secondary (any time) East US DB1 LS XYZ LS OPQ • RTO<1h, RPO<5m • REST and PowerShell API to opt-in and failover • DMV+REST to monitor and guide failover decisions • Automatic data replication and synchronization • Up to 4 online secondary databases with matching performance level in any region DB1 DB1.old North Central US LS DFE DB1 DB1
  • 17. BCDR Tiered Model B Transactions per hour Transactions per minute Transactions per second ) ERT*<12h RPO**<1h ERT<12h RPO<1h ERT<12h RPO<1h ERT<30s RPO<5s ERT<30s RPO<5s ERT<30s RPO<5s * Estimated Recovery Time (ERT) - The estimated duration for the database to be fully functional after a restore/failover request. ** Recovery Point Objective (RPO) - The amount of most recent data changes (time interval) the application could lose after recovery

Editor's Notes

  • #3: Business continuity is the ability to continue business operations when a crisis or disaster occurs. Business continuity planning requires processes, procedures, and measures to ensure that business operations can continue without interruption. This topic focuses on the Azure SQL Database features that enable business continuity and disaster recovery. By storing your data in Azure SQL Database, you take advantage of many fault tolerance and secure infrastructure capabilities that you would otherwise have to design, acquire, implement, and manage. Todays applications need to have the ability to tolerate local failures, recover from disasters, support recovery from user or application errors, and planned events such as an application upgrade.
  • #4: Ask the question about IaaS and PaaS And then accordingly show the slide
  • #8: “Deployment Minutes” is the total number of minutes that a given Basic, Standard, or Premium Database has been deployed in Microsoft Azure during a billing month. “Maximum Available Minutes” is the sum of all Deployment Minutes across all Basic, Standard, and Premium Databases for a given Microsoft Azure subscription during a billing month. “Downtime” is the total accumulated Deployment Minutes across all Basic, Standard, and Premium Databases deployed by Customer in a given Microsoft Azure subscription during which the Database is unavailable. A minute is considered unavailable for a given Database if all continuous attempts by Customer to establish a connection to the Database within the minute fail. Monthly Uptime %= Maximum Available Minutes−Downtime Maximum Available Minutes
  • #9: Pro: Bacpac is a logical schema and local data format that is portable Lower cost that keeping DB running Con: Resource intensive to generate Required creation of another DB to ensure consistency Slow to restore – speed depends on the target edition tier
  • #11: By storing your data in Azure SQL Database, you take advantage of many fault tolerance and secure infrastructure capabilities that you would otherwise have to design, acquire, implement, and manage. Azure SQL Database has a built-in high availability subsystem that protects your database from failures of individual servers and devices in a datacenter. Azure SQL Database maintains multiple copies of all data in different physical nodes located across fully independent physical sub-systems to mitigate outages due to failures of individual server components, such as hard drives, network interface adapters, or even entire servers. At any one time, three database replicas are running—one primary and two or more replicas. Data is written to the primary and one secondary replica using a quorum based commit scheme before the transaction is considered committed. If the hardware fails on the primary replica, Azure SQL Database detects the failure and fails over to the secondary replica. In case of a physical loss of a replica, a new replica is automatically created. So there are always at minimum two physical, transactionally consistent copies of your data in the datacenter.
  • #12: Built-in Automatic Backup in Azure SQL Database Azure SQL Database automatically creates backups of every active database using the following schedule: Full database backup once a week, differential database backups once a day, and transaction log backups every 5 minutes. The full and differential backups are replicated across regions to ensure availability of the backups in the event of a disaster. Restoring an Active Database to a Point in Time For a database that is currently active, the earliest restore point available for the database is displayed in the Quick Glance section of the Dashboard for the database on the Azure Management Portal. For a complete walkthrough of restoring a database, see Submit a Database Restore Request.
  • #13: Restoring a Deleted Database You can restore a database that was deleted during its retention period to the point at which it was deleted. The retention period is determined by the service tier of the database while it existed or the number of days where the database exists, whichever is less.
  • #14: Geo-Restore Geo-Restore is the most basic disaster recovery option available in Azure SQL Database. It is available with Basic, Standard, and Premium service tiers. The weekly full backup and at least one daily differential backup are stored in a Geo-redundant storage to protect against region wide failures. When you submit a restore request, the database will be restored to the most recent daily backup. There are no charges for the additional backups that are stored, but if you use Geo-Restore, you will be charged for the restored database at normal rates once the restore is complete. For a complete walkthrough, see Submit a Database Restore Request. You can automate this operation using the PowerShell cmdlet <name> or REST API <operation name>. For more information, see Managing Azure SQL Databases with PowerShell and Managing Azure SQL Databases with REST API.
  • #15: Demo for - 1. Restore deleted databases 2. Point in time recovery of the databases
  • #18: Demo for configuration of Active- geo Replication Demo for connecting to the secondary replica and show how the sync works
  • #19: 1m