Showing posts with label workloads. Show all posts
Showing posts with label workloads. Show all posts

Thursday, April 2, 2015

AWS Migration Sessions

Migrating large fleets of legacy applications to AWS cloud infrastructure requires careful planning, since each phase needs to balance risk tolerance against the speed of migration.
Through participation in many large-scale migration engagements with customers, AWS Professional Services has developed a set of successful best practices, tools, and techniques that help migration factories optimize speed of delivery and success rate. In this session, we cover the complete lifecycle of an application portfolio migration with special emphasis on how to organize and conduct the assessment and how to identify elements that can benefit from cloud architecture.

April 9th in SF @ Moscone 

Breakout Sessions 2:00 - 3:00

Cloud Migration, Application Modernization and Security for Partners

As AWS continues to expand, enterprise customers are increasingly looking to our partner ecosystem to assist in migrating their workloads to the cloud. This session describes the challenges, lessons learned and best practices for large scale application migrations. We will use real examples from our consulting partners and AWS Professional Services to illustrate how to move workloads to the cloud while modernizing the associated applications to take advantage of AWS’ unique benefits. We will also dive into how to use an array of AWS services and features to improve a customer’s security posture as they are migrating and once they are up and running in the cloud.


Monday, January 5, 2015

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. 

Friday, November 29, 2013