1. Redefinition of Business Continuity Strategies using Cloud Native Enterprise Architectures
Frank Stienhans, CTO
August 2016

2. Abstract
Both production and non-production landscapes are massively effected by the rewritten laws of physics in the cloud. One opportunity of Cloud Native Enterprise Architectures is to redefine the approaches to Business Continuity and Disaster Recovery. Using SAP workloads on AWS as example we will show how and why enterprises run different than before and how Disaster Recovery needs accelerate all in migrations to the cloud.

3. Agenda Cloud Platform – using AWS as example
Cloud Transformation Impact
Cloud Best Practices
Cloud High Availability and Disaster Recovery
Making it Simple
© Copyright, 2016, Ocean9, Inc., All Rights Reserved

4. AWS Regions
Frank / Naresh

5. AWS Topology AWS Cloud 13 AWS Region 2..5 AWS Availability Zone 1..*
Source: Gartner (August 2016) 1 13
AWS Region 1
2..5
AWS Availability Zone 1
1..*
AWS Data Center 1
x..80,000
EC2 Hosts 1
1.. n
EC2 Instances

6. AWS Topology One Solution Architecture Disaster Recovery
AWS Cloud
One Solution Architecture 1 13
AWS Region
Disaster Recovery 1
2..5
AWS Availability Zone
High Availability 1
1..*
AWS Data Center 1
x..80,000
EC2 Hosts
Performance 1
1.. n
EC2 Instances

7. Cloud Transformation Before and After
Using the example of SAP HANA on Amazon Web Services

8. Provisioning Time: Infrastructure, Installation, Configuration
SAP HANA Appliance
14 Weeks
Ocean9 + AWS
15 minutes
0.01 %
9400 times faster

9. Scale Out Time: Infrastructure, Installation, Configuration
SAP HANA Appliance
14 Weeks
Ocean9 + AWS
4 minutes
0.003 %
35000 times faster

10. Hardware Refresh Time: Infrastructure, Installation, Migration
SAP HANA Appliance
18 Weeks
Ocean9 + AWS
60 minutes
0.03 %
3000 times faster

11. Upfront Cost for Provisioning, Scale out, Hardware refresh
SAP HANA Appliance
$ XX,XXX
Ocean9 + AWS
$ 0

12. Be Prepared for Hardware Failure
SAP HANA Standby Nodes
$ XX,XXX
Ocean9 + AWS
EC2 Auto Recovery
$ 0.50

13. How is this related to Business Continuity and Disaster Recovery ?
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14. Cloud Sizing: Application Servers (SAP and beyond)
On Premise
Cloud
Few Large Servers
Many Smaller Servers
Auto Scaling +
High Availability
Static Servers

15. Enterprise Elasticity – A Year, A week, A day
Static Sizing
Cost Saving
Average

16. Cloud Sizing: SAP Database
On Premise
Cloud
One Large Server
Large Server
Static Server
Scale Up in 1 hour

17. High Availability and Disaster Recovery

18. HA Backup & Restore on AWS
Measure RPO in minutes
Durability of %
Recover any SAP HANA System in 2 hours or less from a backup
SAP HA on AWS can be cost neutral
Disaster Recovery
HA Backup & Restore Strategy
+ AWS S3 Cross Region Backup Replication
+ AWS Route 53 Multi-VPC Assignment
= DR Backup & Restore Strategy
Closures of Datacenters

19. DEV / TEST Landscape Region Primary Secondary SAP SAP Web Dispatcher
Corporate Network
Region
SAP
JAVA AS
SAP
Web Dispatcher
CloudWatch
Primary
Availability Zone
VPC Subnet
VPC Subnet
SAP
ABAP AS
IAM Role
SAP
Central Services DB
IAM
Security Group
Security Group
Amazon S3
Customer Router
Router
Amazon Route 53
Primary
AD/DNS
Secondary
Availability Zone
AWS CloudFormation

20. SAP HANA Multi-Site High Availability
Run SAP HANA in 2 or 3 Availability Zones to achieve an uptime of up to 99.99%
Do not fail back to something that failed once.
Analyze the error and terminate the faulty System Site.
Disaster Recovery
HA Warm Standby Strategy
+ SAP HANA ASYNC System Replication
+ AWS S3 Cross Region Backup Replication
+ AWS Route 53 Multi-VPC Assignment
= DR Warm Standby Strategy

21. Retail with SAP on AWS SAP System Sites Primary Region
Secondary Region
SAP
System
Sites
Availability Zone A
Availability Zone B
Availability Zone C
[ Partner ] Package Inspection
Passive
[ Apache ] SAP Hybris Web
Auto Scaling
Passive
[ J2EE ] SAP Hybris App
Auto Scaling
Passive
[ Solr ] SAP Hybris Search
Auto Scaling
Passive
[ RDS MS SQL ] Hybris DB
Passive
[ J2EE ] OneView Commerce
Auto Scaling
Passive
[ RDS MS SQL ] OneView Commerce DB
Passive
[ SAP NetWeaver ] CAR
Auto Scaling
Passive
[ SAP HANA ] CAR (Scale out + System Replication)
Passive
[ SAP SLT ] ECC to HANA Replication
Passive
[ Elastic Beanstalk - Java ] Custom App
Auto Scaling
Passive
[ SAP HANA ] Custom Solution DB (System Replication)
Passive
SNS
Cloud Watch
Route 53 S3 S3
Route 53

22. Ocean9 SLAs – SAP HANA on AWS
Sites / AZ
Strategy %
RPO / RTO
Auto Recovery 1
Backup & Recovery
99.5 %
15 minutes / 2 hours 2
SAP HANA System Replication + Backup & Recovery
99.95 %
~ / 1 minute 3
99.99 %
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23. SAP HANA Database Recovery Time with Ocean9 and AWS
25. júní 2019
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24. SAP Solution with 99.99% uptime
With one click
Strong identity and access management
Secure networking
Clustering across three availability zones for high availability and disaster recovery
Production – Single Active AZ – per Customer

25. Ocean9 LIVE
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26. Thank you Download the Slides for free at:
ocean9.io/content-download/redefinition-of-business-continuity
Thank you
Frank Stienhans, CTO Ocean9
© Copyright, 2016, Ocean9, Inc., All Rights Reserved

27. Presenter: Frank Stienhans, CTO
Frank is an early cloud innovator with key architecture and operations contributions. In 2007, he was first to recognize the power of AWS for SAP use cases: His team build a self service SAP on AWS, serving more than 1000 employees with more than servers per month. Gaining tremendous operational expertise, SAP’s former CTO Vishal Sikka challenged Frank to demonstrate SAP HANA scalable performance with 1000 CPU cores, which were delivered as a SAP HANA aggregated system with 111 cloud machines. In 2013 Frank joined AWS Professional Services to build up the SAP Practice. He rolled out the first SAP HANA Production System in an Enterprise on AWS and many more since. Frank advised dozens of large global enterprises around the world on the best strategy, architecture and operations for SAP on AWS. At Ocean9, Frank’s team is continuously raising the bar for what is possible for Enterprise Solution Deployments and is passionate about assisting partners and customers in their journey to and in the cloud. Frank is considered the leading expert in his field and is the holder of 18 cloud related patents.
© Copyright, 2016, Ocean9, Inc., All Rights Reserved