Cloudify, an Open Source PaaS from GigaSpaces, is making Big Data Clouds easier to manage
Cloudify, from the scalability experts GigaSpaces, is still its early stages. Unlike Google App Engine, Azure, Heroku, etc. this PaaS is more focused on the application life cycle and not on being a “transparent” application server and database. The main focus is automating application and services deployment, monitoring, autoscaling, etc. The closest competitor would be Scalr.
Unlike Scalr, Cloudify’s focus is on Cloud-neutrality. Cloudify is not focusing on using specific Amazon services for scalability but instead to make a neutral Cloud platform. The advantage is that every possible Cloud being it private or public can be used and scenarios like hybrid clouds with Cloud bursting from private to public cloud are possible. The deep understanding of large-scale architectures in a company like GigaSpaces is a guarantee that Cloudify will scale in the future.
Cloudify is still missing some important functionality like security, multi-tenancy, integrations with lower-level automation frameworks (e.g. Chef and Puppet), complex upgrade management [e.g. rolling upgrades, MySQL schema upgrades, A/B testing of new features, etc.], etc. However the roadmap is pointing towards most of these items.
Software architects should understand the possibilities Cloudify, Scalr, etc. bring. By having a reusable automation framework companies are able to spend more development and operations time on bringing new business features and less on reinventing the wheel.