Server Management Workflow Platform for Automated Issue Resolution
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Solution Overview
Problem
Managing networked environments with numerous servers is cumbersome due to the complexity of data and the need for multiple tools, leading to unresolved performance issues and inefficient resource consumption.
Innovation Solution
An automated management service with a dashboard interface provides integrated tools for patch management, traffic failover, predictive analytics, and site reliability, leveraging machine learning and AI for automation and proactive issue resolution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If multiple separate tools are used to manage different aspects of servers (patch management, traffic failover, analytics, reliability), then each specific management task can be performed, but the overall system complexity increases and manual administrative effort increases
Solution Approach 1:
The patent combines multiple separate server management tools and functions into a single integrated platform. The system consolidates patch management, traffic failover, predictive analytics, and site reliability management into one unified interface, eliminating the need for administrators to switch between multiple separate tools and reducing overall system complexity.
Solution Approach 2:
The server management platform is designed as a universal system that performs multiple functions simultaneously. A single platform provides patch management, traffic routing, predictive analytics, and reliability monitoring capabilities, allowing one system to serve multiple management needs that previously required separate specialized tools.
2Reliability
If manual monitoring and management of server data is performed, then detailed control over each server can be achieved, but the time required to detect and resolve performance issues increases
Solution Approach 1:
The system implements self-service capabilities through automated monitoring and predictive analytics. The platform automatically detects performance issues, predicts potential failures before they occur, and can autonomously execute remediation actions such as traffic failover or patch deployment, reducing both the time to detect issues and the manual effort required to resolve them.
Solution Approach 2:
The platform incorporates continuous feedback loops through real-time monitoring of server performance metrics. The system collects data from multiple sources, analyzes trends using predictive analytics, and provides feedback to automatically trigger appropriate responses, creating a closed-loop system that rapidly detects and resolves performance issues without manual intervention.
3Loss of information
If comprehensive data collection from multiple servers and applications is performed, then complete visibility into system performance is achieved, but the complexity of analyzing and managing the enormous amount of data increases
Solution Approach 1:
The platform acts as an intermediary layer between the complex underlying server infrastructure and the administrator. It collects comprehensive data from multiple servers and applications, then processes and synthesizes this information through predictive analytics to present simplified, actionable insights. This intermediary function maintains complete visibility into system performance while shielding administrators from the complexity of managing raw data from numerous sources.
4Productivity
If automated management processes are implemented, then productivity and response time are improved, but the initial system complexity and automation infrastructure requirements increase
Solution Approach 1:
The system performs preliminary actions by proactively predicting potential server failures and performance issues before they actually occur. Through predictive analytics, the platform identifies trends and patterns that indicate future problems, allowing automated management processes to be triggered in advance. This preliminary detection capability increases productivity by resolving issues before they impact service while managing automation complexity through focused, prediction-driven workflows.
Data Source
AI summary
Presented herein are systems and methods for managing networked environments. A computer system may maintain a plurality of process flows to manage a plurality of services in a network. Each respective process flow of the plurality of process flows may identify: (i) a respective trigger to invoke the respective process flow to initiate a first process of a plurality of processes on at least one of the plurality of services. The computing system may select, responsive to detecting a trigger, a process flow from the plurality of process flows based on the trigger. The computing system may execute, in accordance with the process flow, at least one process of the plurality of processes on at least one of the plurality of services in the network.