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

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Presentation transcript:

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

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.

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

AWS Regions Frank / Naresh

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

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

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

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

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

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

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

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

How is this related to Business Continuity and Disaster Recovery ? © Copyright, 2016, Ocean9, Inc., All Rights Reserved

Cloud Sizing: Application Servers (SAP and beyond) On Premise Cloud Few Large Servers Many Smaller Servers Auto Scaling + High Availability Static Servers

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

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

High Availability and Disaster Recovery

HA Backup & Restore on AWS Measure RPO in minutes Durability of 99.999999999% 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

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

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

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

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 % ~ 0 / 1 minute 3 99.99 % © Copyright, 2016, Ocean9, Inc., All Rights Reserved

SAP HANA Database Recovery Time with Ocean9 and AWS 25. júní 2019 © Copyright, 2016, Ocean9, Inc., All Rights Reserved

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

Ocean9 LIVE © Copyright, 2016, Ocean9, Inc., All Rights Reserved

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

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 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. © Copyright, 2016, Ocean9, Inc., All Rights Reserved