Cloud Automation Agents Using Out-of-Band Network Configuration
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Solution Overview
Problem
Existing cloud computing infrastructure deployment processes are prone to errors and require significant manual intervention, leading to inefficiencies and inconsistencies in hardware and software configuration.
Innovation Solution
A system and method for automated cloud automation site design using network software installation and cloud automation agents to configure and interoperate site-specific hardware items, utilizing machine learning and out-of-band networks for error-free deployment and configuration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual intervention is used for hardware and software configuration, then flexibility and adaptability are maintained, but errors occur and efficiency is reduced
Solution Approach 1:
The system enables self-service automation where the cloud automation agent autonomously performs configuration tasks on hardware items without requiring manual intervention. The agent automatically installs algorithms, configures settings, and manages software deployment, allowing the system to serve itself and eliminate human errors in the process.
Solution Approach 2:
The patent replaces manual mechanical configuration operations with automated digital processes. The cloud automation agent uses software-based algorithms to perform tasks that were previously done manually, such as configuring hardware settings, installing software, and managing network connections, thereby substituting human action with automated computational processes.
2Productivity
If automated configuration is implemented, then efficiency and consistency are improved, but system complexity increases
Solution Approach 1:
The system segments the complex automation process into distinct functional components: a cloud automation agent that handles automated configuration, a separate hardware item with its own processor, and a network communication layer. This segmentation allows each component to perform its specific function independently, making the overall complex system more manageable and easier to implement.
Solution Approach 2:
The cloud automation agent is designed as a universal component that can manage multiple hardware items and perform various configuration tasks through a single interface. This multi-functional approach consolidates complexity into one manageable agent rather than requiring separate specialized systems for each hardware type, thereby improving productivity without proportionally increasing overall system complexity.
3Reliability
If out-of-band network is used for agent communication, then configuration reliability is improved, but network infrastructure complexity increases
Solution Approach 1:
The out-of-band network acts as an intermediary communication channel between the cloud automation agent and the hardware item's processor. This separate communication path ensures reliable configuration delivery independent of the primary network, providing a dedicated mediator that enhances reliability without requiring complex integration with existing network infrastructure.
Data Source
AI summary
A system for configuring a network, comprising a network software installation system operating on a first processor and configured to install a current version of one or more algorithms on each of a plurality of site-specific hardware items and to configure each of the plurality of site-specific hardware items to interoperate with each other. An agent operating on a second processor is configured to modify the one or more algorithms for one of the plurality of site-specific hardware items using an out of band network.