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. Listen to the full webcast here: http://bit.ly/2jZJfqX

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

2. 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.
Abstract

3. • Cloud Platform – using AWS as example
• Cloud Transformation Impact
• Cloud Best Practices
• Cloud High Availability and Disaster Recovery
• Making it Simple
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Agenda

4. AWS Regions

5. Source: Gartner (August 2016)
AWS Topology
AWS Cloud
AWS Region
AWS Availability Zone
AWS Data Center
EC2 Hosts
1
1
1
EC2 Instances
1
1

6. AWS Topology
AWS Cloud
AWS Region
AWS Availability Zone
AWS Data Center
EC2 Hosts
1
1
1
EC2 Instances
1
1
One Solution Architecture

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

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

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

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
?
24. janúar 2017 © Copyright, 2016, Ocean9, Inc., All Rights Reserved 13

14. Cloud Sizing: Application Servers
(SAP and beyond)
On Premise Cloud
Few Large Servers Many Smaller Servers

15. Enterprise Elasticity – A Year, A week, A day
0
1
2
3
4
5
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
AverageNetWeaverEC2Instances
Reserved Instances On Demand Instances

16. Cloud Sizing: SAP Database
On Premise Cloud
One Large Server Large Server

17. High Availability
and
Disaster Recovery

18. HA Backup & Restore on AWS
1. Measure RPO in minutes
2. Durability of 99.999999999%
3. Recover any SAP HANA System in 2 hours or less from a backup
4. SAP HA on AWS can be cost neutral
5. 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
20
Amazon S3
Region
CloudWatch
AvailabilityZone
SecurityGroup
VPCSubnet
SecurityGroup
VPCSubnet
Corporate
Network
AvailabilityZone
PrimarySecondary
Primary
AD/DNS
Router
DB
IAM
Role
IAM
SAP
Web
Dispatcher
SAP
ABAP
AS
SAP
JAVA
AS
SAP
Central
Services
Amazon
Route 53
Customer
Router
AWS
CloudFormation

20. SAP HANA Multi-Site High Availability
1. Run SAP HANA in 2 or 3 Availability Zones to achieve an uptime of up to 99.99%
2. Do not fail back to something that failed once.
3. Analyze the error and terminate the faulty System Site.
4. 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
Availability Zone A Availability Zone B Availability Zone C
S3Cloud Watch Route 53SNS S3 Route 53
Primary Region Secondary Region
Auto Scaling
Auto Scaling
Auto Scaling
Auto Scaling
Auto Scaling
Auto Scaling
SAP
System
Sites

22. 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 % ~ 0 / 1 minute
3 SAP HANA System Replication
+ Backup & Recovery
99.99 % ~ 0 / 1 minute
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Ocean9 SLAs – SAP HANA on AWS

23. SAP HANA Database Recovery Time
with Ocean9 and AWS
24. janúar 2017 © Copyright, 2016, Ocean9, Inc., All Rights Reserved 24

24. With one click
• Strong identity and
access management
• Secure networking
• Clustering across three
availability zones for high
availability and disaster
recovery
SAP Solution with 99.99% uptime

25. 24. janúar 2017 © Copyright, 2016, Ocean9, Inc., All Rights Reserved 26
Ocean9 LIVE

26. Thank you
Contact us: questions @ ocean9.io
More information: http://ocean9.io
24. janúar 2017 © Copyright, 2016, Ocean9, Inc., All Rights Reserved27

28. 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 11000 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.
24. janúar 2017 © Copyright, 2016, Ocean9, Inc., All Rights Reserved 29
Presenter: Frank Stienhans, CTO