Server Deployment Control Using Recommended Setup Deviations
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Solution Overview
Problem
Server deployment processes, including updates to software, drivers, and firmware, are largely manual and lack automation, leading to inefficiencies and the need for manual testing.
Innovation Solution
A method and apparatus for automating server deployment by identifying configuration information, retrieving a recommended setup and deviation, creating a deployment file, and transmitting it to a management controller for server configuration, with a deployment tracking module monitoring and managing deviations using machine learning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual processes are used for server deployment, then flexibility and control are maintained, but productivity and efficiency deteriorate
Solution Approach 1:
The system enables self-service deployment by automatically retrieving configuration information, recommended setups, and deviations without human intervention. The management server autonomously creates deployment files and transmits them to management controllers, allowing the deployment process to serve itself and eliminating manual operational steps.
Solution Approach 2:
The system performs preliminary actions by pre-retrieving configuration information, recommended setups, and deviations before the actual deployment process. The management server collects all necessary data and prepares deployment files in advance, so that when deployment is initiated, the process can proceed immediately without manual preparation.
2Reliability
If manual testing and installation are used for updates, then quality control is maintained, but loss of time and productivity worsen
Solution Approach 1:
The deployment tracking module implements feedback mechanisms by monitoring firmware, drivers, and software deployments across multiple servers. It collects data on deployment outcomes, successes, and failures, then uses this feedback to refine recommended setups and deviations, continuously improving deployment quality without requiring manual testing of each update.
Solution Approach 2:
The system creates recommended setups and deviations based on copying successful deployment patterns from other servers. Instead of manually testing each update, the system identifies proven configurations from the deployment tracking data and replicates them, maintaining quality through proven patterns rather than repetitive manual testing.
3Productivity
If automated deployment is implemented, then productivity improves, but device complexity worsens
Solution Approach 1:
The management server performs multiple functions within a single system: retrieving configuration information, obtaining recommended setups, acquiring deviations, creating deployment files, and transmitting them to controllers. This multi-functionality consolidates what could be separate complex systems into one unified platform, improving productivity while containing overall system complexity.
Solution Approach 2:
The management server acts as an intermediary between the deployment tracking module and the management controllers. It receives data from the tracking module, processes it into deployment files, and transmits instructions to controllers, simplifying the interaction between complex components and reducing the overall system complexity burden.
4Ease of operation
If recommended deviations are managed manually, then control over deployment parameters is maintained, but ease of operation deteriorates
Solution Approach 1:
The deployment tracking module automatically monitors firmware, drivers, and software deployments across multiple servers without manual intervention. It self-manages the collection of deployment data, analysis of outcomes, and generation of recommended deviations, making the complex monitoring and management tasks perform themselves and greatly easing operational burden.
Data Source
AI summary
A method includes identifying configuration information of a server being deployed, which includes a configuration and software requirements, and the server is managed by a management server through a management controller controlling a host hosting the server. The method includes retrieving a recommended setup of hardware and software for the server based on the configuration information and retrieving, from a deployment tracking module, a recommended deviation. The method includes creating a deployment file based on the recommended setup and deviation, and transmitting the deployment file to the management controller, which uses the deployment file to configure the server. The deployment tracking module monitors firmware, drivers and/or software deployments of servers for problems and software deployments, monitors websites/databases associated with firmware, drivers and/or software deployed on the servers for updates, analyzes information from monitoring the deployments and updates from the websites/databases, and manages recommended deviations from recommended setups.