Accenture AWS re:Invent Enterprise Migrations Session

Accenture migrations at scale presentation at AWS re:Invent 2014:
accenture-reinvent-breakout-session-deck-migration-to-cloud-v3-aws-template-final-cs

SAP HANA on AWS

There are two offerings for running SAP HANA on AWS

1. AWS Marketplace : https://aws.amazon.com/marketplace/pp/B009KA3CRY. This runs on the Cluster Compute 8XL (cc2.8xlarge) instance type with 60.5 GB of memory. This includes the SAP HANA One licenses. 

2. SAP Cloud Appliance Library (CAL) : http://marketplace.saphana.com/New/SAP-HANA-%3A-infrastructure-subscription-by-AWS/p/1871. This uses a AWS CloudFormation template to deploy a cr1.8xlarge cluster compute instance (244 GB of memory and 240 GB of SSD instance storage) with Amazon PIOPS volumes.

Enterprise Migrations to AWS : reInvent replay

The session replay can be found here:

http://www.youtube.com/watch?v=40tSWyyOWFI

The slides can be be viewed here:

http://www.slideshare.net/tomlaszewski/ent303-migrating-enterprise-applications-to-aws

AWS Enable Your Consulting Business to Grow in the AWS Cloud in NYC

Great event in NYC that includes a focus on enterprise software and Oracle, SAP and Microsoft.

Amazon Web Services

Thursday, October 3, 2013 from 9:00 AM to 6:00 PM (EDT)

New York, NY

Register for the event:
http://awssipartnereventny-awsemail1.eventbrite.com

AWS re:Invent enterprise sessions

DAT202 - Using Amazon RDS to Power Enterprise Applications Amazon Relational Database Service (Amazon RDS) makes it cheap and easy to deploy, manage, and scale relational databases using a familiar MySQL, Oracle or MS SQL server database engine. Amazon RDS can be an excellent choice for running many large, off-the-shelf enterprise applications from companies like JD Edwards, Oracle, PeopleSoft, and Siebel. Sign up for this session to learn how to best leverage Amazon RDS for use with enterprise applications and learn about best practices and data migration strategies.

DAT401 - Advanced Data Migration Techniques for Amazon RDS Migrating data from the existing environments to AWS is a key part of the overall migration to Amazon RDS for most customers. Moving data into Amazon Relational Database Service (Amazon RDS) from existing production systems in a reliable, synchronized manner with minimum downtime requires careful planning and the use appropriate tools and technologies. Because each migration scenario is different in terms of source and target systems, tools, and data sizes, you'll need to customize your data migration strategy to achieve the best outcome. In this session we will do a deep dive into various methods, tools and technologies that can be put to use for a successful and timely data migration to Amazon RDS.

STG301 - AWS Storage Tiers for Enterprise Workloads - Best Practices Enterprise environments utilize many different kinds of storage technologies from different vendors to fulfill various needs in their IT landscape. These are often very expensive and procurement cycles quite lengthy. They also need specialized expertise in each vendor's storage technologies to configure them and integrate them into the ecosystem, again resulting in prolonged project cycles and added cost. AWS provides end-to-end storage solutions that will fulfill all these needs of Enterprise Environments that are easily manageable, extremely cost effective, fully integrated and totally on demand. These storage technologies include Elastic Block Store (EBS) for instance attached block storage, Amazon Simple Storage Service (Amazon S3) for object (file) storage and Amazon Glacier for archival. An enterprise database environment is an excellent example of a system that could use all these storage technologies to implement an end-to-end solution using striped PIOPS volumes for data files, Standard EBS volumes for log files, S3 for database backup using Oracle Secure Backup and Glacier for long-time archival from S3 based on time lapse rules. In this session, we will explore the best practices for utilizing AWS storage tiers for enterprise workloads

STG305 - Disaster Recovery Site on AWS - Minimal Cost Maximum Efficiency Implementation of  disaster recovery (DR) site is crucial for business continuity of any enterprise. Due to the fundamental nature of features like elasticity, scalability and geographic distribution, DR implementation on AWS can be done at 10-50% of the conventional cost. In this session, we will do a deep dive into proven DR architectures on AWS and best practices, tools and techniques get the most out of them.

STG303 - Running Microsoft and Oracle Stacks on Elastic Block Store Run your Enterprise applications on Elastic Block Store (EBS). This session will discuss how you can leverage the block storage platform (EBS) as you move your Microsoft (SQL Server, Exchange, SharePoint) and Oracle (Databases, E-business Suite, Business Intelligence) workloads onto Amazon Web Services (AWS). The session will cover high availability, performance, and backup/restore best practices

ENT303 - Migrating Enterprise Applications to AWS - Best Practices, Tools and Techniques In this session we will discuss strategies, tools and techniques for migrating enterprise software systems to AWS. We'll consider applications like Oracle eBusiness Suite, SAP, PeopleSoft, JD Edwards and Siebel. These applications are complex by themselves; they are frequently customized; they have many touch points on other systems in the enterprise; and they often have large associated databases. Nevertheless, running enterprise applications in the cloud affords powerful benefits. We'll identify success factors and best practices.

Migrating enterprise applications to AWS

There are many infrastructure artifacts that need to be addressed when migrating enterprise workloads to AWS: compute, storage, database, security, load balancers, firewalls, data encryption, management, monitoring, patching, anti-virus, and intrusion detection to name a few.  There are also development artifacts that need to be addressed: packaging, testing, deployment, versioning, and upgrades to name a few. These on premise constructs need to the mapped to the same, equivalent, or new constructs on AWS.  

There are also a number of migration approaches that can be employed: lift and shift, leverage and extend, or re-engineering.  The approach taken depends upon the application attributes - Oracle and SAP Commercial Off-The-Shelf (COTS), Microsoft and other 3RD party packaged applications, or custom systems.   There are strength and weaknesses of each approach.

AWS offerings services that are not readily accessible in your on premise environment.  There are services, including CloudFront and Auto Scaling, that can be used to increase performance and reduce cost without changing a line of application code.

In future blogs, I will began to identify and address the mappings, approaches, and services that can be used to migrate enterprise workloads to AWS.