Hyper

Hyper

Hyper is a framework designed for building scalable hyperscale applications, focusing on simplifying cloud service management.

Location: United States of America
Software Type: Web App

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Description

Hyper is a service framework aimed at easing the development of hyperscale applications. This tool provides a clean and consistent API to facilitate the management of various cloud services, allowing developers to concentrate on building core application features without the burden of backend complexities. By addressing common challenges such as scalability, security, and downtime, Hyper enhances the overall application development process.

### Core Features
Hyper offers a range of essential services that cater to the diverse needs of developers:

1. Data Service: This service enables users to store, retrieve, and index structured data efficiently, ensuring quick access and management.
2. Cache Service: A key-value data store that supports a time-to-live feature for cached items, optimizing performance by temporarily storing frequently accessed data.
3. Search Service: It facilitates free-text search functionalities, allowing users to quickly find relevant information within their data.
4. Storage Service: Provides robust file storage capabilities, organized within a directory structure for easy navigation and management.
5. Queue Service: This feature allows for effective task queuing, managing job distribution and enhancing the application's responsiveness.

By utilizing these services, developers can efficiently integrate Hyper into their applications, enabling them to scale effectively while focusing on delivering high-quality features.

Features

Data Service

Enables storage, retrieval, and indexing of structured data.

Cache Service

A key-value data store with time-to-live support for cached items.

Search Service

Facilitates free-text search functionalities within your data.

Storage Service

Provides file storage capabilities organized in a directory tree.

Queue Service

Allows for task queuing to effectively manage job distribution.

Tags

CloudFrameworkDevelopmentAPIScalability

Documentation & Support

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