Visual Cluster Deployment for No-Code Kubernetes Provisioning
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Solution Overview
Problem
Building and deploying cloud and on-premise infrastructure, particularly for KUBERNETES clusters, is complex and time-consuming, requiring specialized training and skills, and automated setup can take months, with management and scaling being difficult.
Innovation Solution
A visual cluster deployment and operation system using a graphical user interface (GUI) allows users to set up computing clusters by dragging and dropping nodes and elements, generating configuration files, and deploying without code, leveraging cloud and on-premise computing devices, with real-time deployment information and status display.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If automated scripts are used to deploy clusters, then deployment can be performed, but it takes months to a year to develop the scripts and requires specialized training
Solution Approach 1:
The patent introduces a visual cluster deployment system as an intermediary between users and complex cluster infrastructure. The system provides a graphical user interface that automatically generates and manages deployment configurations, eliminating the need for users to write and maintain complex automated scripts while reducing setup time from months to minutes.
Solution Approach 2:
The patent replaces the mechanical process of manual script writing and configuration with an automated visual interface system. Users interact through drag-and-drop operations and graphical selections rather than coding, and the system automatically handles the complex underlying infrastructure setup, provisioning, and configuration tasks.
2Ease of operation
If specialized training is provided for cluster management, then cluster operations can be performed, but the complexity and difficulty increase
Solution Approach 1:
The patent segments the complex cluster management system into simplified visual components represented in the graphical user interface. Each visual element represents a specific cluster component or operation, allowing users to manage clusters through intuitive visual interactions rather than complex command-line operations or specialized knowledge.
Solution Approach 2:
The visual cluster deployment system acts as an intermediary layer that translates simple user interface operations into complex infrastructure management actions. This abstraction layer hides the underlying system complexity while providing ease of operation through intuitive visual interactions.
3Productivity
If code and scripting are required for deployment, then precise control is achieved, but the time to deploy increases significantly
Solution Approach 1:
The system performs preliminary actions by pre-configuring deployment templates, node types, and infrastructure settings that are automatically applied during cluster deployment. Users can select from pre-defined configurations and customize as needed, eliminating the need to create deployment scripts from scratch and significantly reducing preparation time.
Solution Approach 2:
The patent replaces the time-consuming manual script writing process with an automated visual configuration system. The graphical interface automatically generates, validates, and applies deployment configurations, transforming a process that takes months of script development into a matter of minutes of visual setup.
Data Source
AI summary
A method includes receiving a request to set up a computing cluster comprising at least one node, the request comprising a selection of graphical user interface elements that represents at least one virtual machine associated with at least one cloud service provider or at least one on-premise computing device, dynamically generating a configuration file comprising configuration language to set up the computing cluster comprising the at least one node, parsing the configuration file to convert the configuration file into at least one application programming interface (API) request and sending the at least one API request to the at least one cloud service provider or the at least one on-premise computing device to set up the computing cluster, and receiving real-time deployment information.