Links

MySQL Replication between Amazon EC2 Instances

MySQL Replication between Amazon EC2 Instances - How To Setup Replication in The Cloud

http://www.nonhostile.com/howto-mysql-replication-amazon-ec2-aws.asp

Filed under // aws cloud ec2 mysql replication

Posted February 25, 2011 by email

Deploying WebApps in the Amazon Cloud

Some considerations on deploying a WebApp in the (Amazon) cloud.

http://www.iheavy.com/2010/12/14/introduction-to-ec2-cloud-deployments/

Building Highly Scalable Web Applications for the Cloud
http://www.iheavy.com/2010/12/30/how-to-build-highly-scalable-web-application...

Managing Security in Amazon Web Services
http://www.iheavy.com/2011/02/17/managing-security-in-amazon-web-services/

MySQL Databases in the Cloud - Best Practices
http://www.iheavy.com/2011/02/21/deploying-mysql-on-amazon-ec2-best-practices/

More to come (see first article):
Backup and Recovery in the Cloud - A Checklist
Cloud Deployments - Discipline Front and Center
Cloud Computing Use Cases
Miscellaneous Considerations for Success with Cloud Computing

Filed under // amazon aws backup cloud deployment ebs ec2 mysql security

Posted February 22, 2011 by email

AppScale: open source Google App Engine implementation

AppScale is an open-source implementation of the Google App Engine cloud computing interface. It is being developed by researchers in the UC Santa Barbara RACELab. AppScale enables execution of Google App Engine (GAE) applications on virtualized cluster systems. In particular, AppScale enables users to execute GAE applications using their own clusters with greater scalability and reliability than the GAE SDK provides. Moreover, AppScale executes automatically and transparently over cloud infrastructures such as the Amazon Web Services (AWS) Elastic Compute Cloud (EC2) and Eucalyptus, the open-source implementation of the AWS interfaces.

The goal of AppScale is to provide a Platform-as-a-Service (PaaS) cloud infrastructure that enables users to deploy, test, debug, measure, and monitor their GAE applications prior to deployment on Google's proprietary resources. In addition, we would also like to facilitate investigation and extension of the PaaS implementation: services, runtime, interoperation with lower-level cloud fabric, etc.