Why use nanoscale.io?
Build microservices in seconds
Deploy anywhere with full portability
Deploy instantly to the serverless nanoscale.io cloud, or download the local version to run anywhere. Easily support hybrid deployment to multiple clouds, on-premise or even on-device.
Follow best practices
Follow RESTful design principles, validate JSON schema, interactively test your APIs, and automatically generate Swagger docs all from within the nanoscale.io environment.
Integrate to anything
Connect to web services, relational and noSQL databases, and even legacy command line programs. Set up a remote endpoint once and then reuse that service anywhere in your API.
Architected for scalability
Nanoscale.io is written in a compiled language and optimized for speed (<3ms request latency) and a low memory footprint (<15MB binary) for maximum performance and scalability.
Run your microservice in the nanoscale.io cloud or in a clustered environment with any platform infrastructure you prefer.
Designed for productivity
Shared libraries, notification services, and reusable logic and remote endpoints
Interactive API testing console with analytics and streaming real-time logs
Cross-platform web, mobile, and firmware SDKs for faster app development
Example use cases
Modernize legacy systems
Unlock existing enterprise systems by API-enabling databases, SOAP services, and command-line programs. Create microservice workflows that combine or update data across multiple systems with a single API.
Rapid microservice prototyping
Enable a faster pace of innovation through rapid microservice and API development. Mimic production systems with API virtualization for testing or hackathons. Ease the transition between cloud, on-premise, and hybrid deployment models.
Power mobile and web app backends
Create comprehensive backend services for modern, cross-platform applications. Empower developers to create their own backends, resulting in accelerated app development and increased speed to market.
Build robust IoT solutions
Leverage cloud or fog backend services to power IoT use cases. Incorporate enterprise data and systems into IoT apps and workflows. Complement existing investments in IoT hubs, big data, and analytics solutions.