Cloud Development Environment With Auto-Scaling Cluster Execution
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Solution Overview
Problem
Traditional software development is hindered by the need for local hardware and software resources, leading to compatibility issues, limited scalability, and cumbersome collaboration across geographically dispersed teams, with existing cloud solutions offering limited functionality and requiring advanced technical expertise for configuration.
Innovation Solution
A cloud-based development environment system that leverages virtualization and cloud computing to provide a user-friendly interface for remote access, enabling developers to work from any location, with automatic scaling, seamless collaboration, and persistent dependencies, eliminating the need for local installations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If developers use local hardware and software resources for software development, then they can have full control over their development environment, but they face hardware compatibility issues, limited scalability, and the need for frequent software updates
Solution Approach 1:
The patent extracts the development environment from local hardware and relocates it to remote cloud-based servers. The system separates the computational workload and software dependencies from the user's local machine, allowing developers to access a fully configured environment remotely through standard protocols, thereby eliminating local hardware compatibility issues and software update management
Solution Approach 2:
The remote development environment is designed to be universally accessible from any device with network connectivity. The system provides a standardized interface that works across different operating systems and hardware configurations, making the development environment adaptable to various user scenarios without requiring device-specific configurations
2Adaptability or versatility
If developers install and configure various development tools and dependencies locally, then they can have customized development environments, but they encounter time-consuming troubleshooting processes and inconsistencies across different operating systems
Solution Approach 1:
The system performs preliminary configuration of the development environment on remote servers before the developer needs to use it. All dependencies, tools, and software components are pre-installed and pre-configured in the cloud-based environment, eliminating the need for developers to spend time on local installation and configuration. The environment is ready for immediate use upon connection
Solution Approach 2:
The patent creates consistent copies of the development environment across different remote servers. Instead of allowing each developer to configure their own unique environment, the system provides standardized environment copies that ensure consistency across different operating systems and hardware, eliminating troubleshooting related to environmental inconsistencies
3Productivity
If developers rely on local hardware for development work, then they can have dedicated resources, but they are bound to a specific physical location and collaboration becomes cumbersome
Solution Approach 1:
The system introduces a network-based intermediary layer between the developer and the development environment. Instead of directly relying on local hardware, developers connect to remote servers through network protocols. This intermediary approach allows the development environment to be accessed from any location with network connectivity, greatly enhancing developer mobility while maintaining full access to dedicated computational resources
4Adaptability or versatility
If geographically dispersed team members coordinate software versions and configurations, then they can collaborate on projects, but the process becomes complex and error-prone
Solution Approach 1:
The system enforces homogeneity by providing all team members with identical pre-configured development environments from the same cloud infrastructure. Every developer receives the same software versions, dependencies, and configuration settings, eliminating the variations that cause collaboration errors. This standardized approach ensures that code behaves consistently across different developers' machines
Data Source
AI summary
A system, device, and method for providing a development environment for a client system that runs on a cluster is disclosed. The method includes (i) starting the cluster from the client system to run the development environment, wherein starting the cluster includes instantiating the cluster based on a predefined cluster image, and configuring a set of dependencies for the cluster, wherein the set of dependencies includes a mounting for a network file storage, (ii) receiving, via the development environment, code input to an interface with the client system, (iii) determining to execute the code, and (iv) in response to determining to execute the code, executing the code using the cluster including automatically scaling the cluster based on a workload for executing the code.