PUBLIC MARKS from camel with tags code & environment

Scalr is a fully redundant, self-curing and self-scaling hosting environment utilizing Amazon's EC2. It allows you to create server farms through a web-based interface using prebuilt AMI's for load balancers (pound or nginx), app servers (apache, others), databases (mysql master-slave, others), and a generic AMI to build on top of. The health of the farm is continuously monitored and maintained. When the Load Average on a type of node goes above a configurable threshold a new node is inserted into the farm to spread the load and the cluster is reconfigured. When a node crashes a new machine of that type is inserted into the farm to replace it. 4 AMI's are provided for load balancers, mysql databases, application servers, and a generic base image to customize. Scalr allows you to further customize each image, bundle the image and use that for future nodes that are inserted into the farm. You can make changes to one machine and use that for a specific type of node. New machines of this type will be brought online to meet current levels and the old machines are terminated one by one. The project is still very young, but we're hoping that by open sourcing it the AWS development community can turn this into a robust hosting platform and give users an alternative to the current fee based services available.

Enomalism Beta Program ¶ The Enomalism cloud computing platform currently in beta and is available to select Enomaly partners. Please enter tickets using the New Ticket link above. Full source code is available under Browse Source. What is Enomalism? ¶ Enomalism is an open source web-based virtual infrastructure platform. Designed to answer the complexity of managing globally disperse virtual server environments. Enomalism helps to automate the transition to a cloud computing environment by reducing an IT organizations overall workload. The easy to use dashboard can help with issues including deployment planning, load balancing, automatic VM migration, configuration management, and capacity diagnosis.