Nutanix, a vendor of hyperconverged infrastructure solutions, has released a new developer environment that allows developers to try and test IoT and AI apps in the cloud. Starting May 7, developers can sign up for a free 10-day trial of this experience.
The developer environment is built under Nutanix’s Xi IoT Platform and gives developers access to a rapid development environment for creating internet of things and artificial intelligence apps in the cloud. The Rapid Development Environment for IoT includes features such as Xi IoT Cloud Instance, Xi IoT Sensor App and Xi IoT App Library and supports the ability to easily deploy IoT software in the cloud or at the edge, according to the company. The environment has been tuned specifically for IoT and AI, eliminating many of the configuration chores developers had to perform using other cloud-based development environments, and enables single-click deployment via a management console.
For developers targeting production-edge environments, the new environment brings forth the ability to develop for the edge or for the cloud, bringing application portability into the development and testing process. By being able to use a common set of APIs, cloud and edge development becomes relatively seamless and deployment friction is vastly reduced, according to the company.
Beyond ensuring compatibility across platform services and APIs, the environment enables development and production environments to use the same components, so recoding is not needed as part of the transition from dev to ops. That helps to simplify lifecycle management as well as fit agile practices better into the dev process.
Nutanix also offers an extensive library of applications that can be used to ease development chores. The Xi IoT App Library offers  individual components (message bus services, time series databases, etc.) and full solutions that developers can use to address various business problems.
Nutanix is framing the new delivery mechanism as a new experience to get more developers—from novice to advanced—creating AI and IoT scenarios.
