Tuesday, January 27, 2015

February 4 | Wednesday - Migrating Thousands of Workloads to AWS at Enterprise Scale

Migrating Thousands of Workloads to AWS at Enterprise Scale Many large enterprises have begun using AWS to host development and test environments while also building greenfield applications in AWS. After realizing the benefits that AWS has to offer, many Enterprise look for ways to accelerate their migration to the cloud. In beginning this journey they are often faced with a number of challenges such as determining which applications should move, how they should move, and how can they be effectively managed in the cloud.  AWS Solution Architects and AWS Professional Services have developed a migration methodology, based on our experiences, to quickly, efficiently, and successfully move enterprise applications to AWS at scale.  This session will be pragmatic; covering the challenges, lessons learned, best practices, and end architecture for several large scale migrations done by AWS Global System Integrator partners. This session will also review the approach, tools, and methods that can help Enterprises evolve their cloud transformation programs.


2 PM - 3 PM

Monday, January 5, 2015

Amazon data warehouse migration to Amazon Redshift

Informative video on moving an Oracle RAC and Hadoop based web log data mining solution to Amazon Redshift:

https://www.youtube.com/watch?v=P4KPPvEb_QI

Migrating to AWS : Amazon.com

Nice session on how Amazon.com has migrated several different types of workloads to AWS:
1. Rehost - Amazon.com web site : Details on an existing workload migrated to AWS.  'Classic' web site migration of web application to AWS.
2. Rearchitecture  - Database migration : Migrating application data to AWS from a traditional data store to AWS is way to reduce costs.  This use cases uses an Information Lifecycle approach to moving data off of a live production databases to S3. 
3. Replace - Application replacement : Deprecation of an order system, and implementing the new order system on AWS.
4. Green field : Using AWS for development of a new video service used internally at Amazon.

The video goes into details on how AWS can reduce costs, improve development productivity, enable elastic infrastructure, increase scalability, and improve high availability.