Serverless Framework for Real-Time Apps Emerges
Serverless computing can advance real-time applications by providing developers with access to a framework employing an event-driven architecture. Serverless computing has a lot of potential to advance real-time applications by providing developers with access to a framework employing an event-driven architecture that makes IT infrastructure resources seamlessly available on demand. The trouble is that the existing serverless computing frameworks are too slow to support real-time applications. At the Kubecon + CloudNativeCon 2017 conference this week iguazio moved to address that issue by making available a high-speed serverless computing framework as an open source project that it developed in support of the company’s real-time analytics database See also: Why putting #IoT into @Docker containers will unlock it Dubbed nuclio and written in the #Go programming language, iguazio CTO @Yaron Haviv says this #serverlesscomputing framework is unique because it allows developers to employ function within the context of a Docker container running on a @Kubernetes cluster or a software development kit ( #SDK ) that iguazio developed. That approach differs considerably from a proprietary serverless framework such as the @Lambda service developed by @Amazon Web Services ( #AWS), which Haviv also notes requires organizations to also consume a raft of complimentary AWS compute and storage services to work. Supported programing language include supports Golang and Python, with support for Java and Node.js coming soon. Haviv says the high-speed function-as-a-service (FaaS) layer of software iguazio developed for nuclio makes it possible for real-time applications to invoke IT infrastructure in parallel on a truly elastic basis. “Nuclio uses Flash directly,” says Haviv. “In an on-premises environment, it can fit in a 2u box.” In addition, Haviv says nuclio includes tools to enable simple debugging, regression testing and even a multi-versioned continuous integration/continuous development (CI/CD) pipeline to drive DevOps processes. Function images can also be stored in a shared repository.