Container-based cloud infrastructure provider Robin Systems Inc. is making its platform more accessible to the developer community with the launch of two new versions available on Amazon Web Services.

The company today announced the general availability of new Community and Developer versions of its Robin Cloud Platform, which provides a container-based infrastructure platform for running big data workloads such as Apache Hadoop, Spark and NoSQL databases. Robin Systems debuted the enterprise version of RCP last year, touting its ability to run these kinds of workloads while dramatically reducing the overhead associated with traditional virtualization that can lead to a serious drag on application performance.

“The aim is to make RCP far more accessible and easily consumable for developers seeking an agile environment with a simplified way to launch, move, scale and kill clusters in a few clicks,” Razi Sharir, vice president of products at Robin Systems, said in an interview.

Sharir said that Robin’s platform is about more than just enabling DevOps, as it can be used to manage and automate the entire application lifecycle for big data pipeline components, including the applications themselves, configuration, compute, networking and storage.

The only real difference between the Community and Developer Editions and the enterprise version is the number of nodes that can be run. The Developer Edition can only be run on one node and is designed for things like prototyping and testing, Sharir said. The Community version can be run on a maximum of five nodes, and is geared towards DevOps teams running larger test configurations or small production workloads. Neither version has limits placed on node configuration, such as the number of cores or amount of memory.

“By making the Community and Developer Editions of RCP available, Robin Systems extends self-service, high availability and elasticity to a broader base of users and deployments,” said Jay Lyman, principal analyst at 451 Research. “These new editions may also help organizations to address the challenges of big data technologies and applications, increasing the ability to aggregate compute and storage resources across nodes.”

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