Self-Healing System for Distributed Applications
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Solution Overview
Problem
Existing monitoring systems for distributed applications and computing services are unreliable in determining the cause of application failures and often require manual intervention for restoration, leading to inefficiencies in maintaining service availability.
Innovation Solution
A self-healing system that automatically detects non-responsive applications, identifies dependent services, and generates a run list of scripts to restart or restore the application and its dependencies, distinguishing between application and server failures to initiate a restoration process without manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual intervention is used to restore failed applications, then the restoration process can be customized and controlled, but the service downtime increases and operational efficiency decreases
Solution Approach 1:
The system implements self-service through automated detection and restoration mechanisms. The health check system automatically monitors application status, and the restoration system autonomously executes recovery actions based on detected failures, eliminating the need for manual intervention and reducing service downtime while maintaining reliability
Solution Approach 2:
The system performs preliminary actions by pre-configuring restoration scripts and health check parameters before failures occur. The run list of restoration scripts is prepared in advance, and health check thresholds are set beforehand, enabling rapid automated response when failures are detected without requiring manual analysis or decision-making
2Measurement precision
If comprehensive monitoring of application and server status is implemented, then the accuracy of failure cause identification improves, but the system complexity and resource consumption increase
Solution Approach 1:
The monitoring system is segmented into distinct functional components: health check system for application-level monitoring, status monitoring for server-level monitoring, and a restoration system for recovery actions. This segmentation allows comprehensive monitoring without overwhelming complexity, as each component has a specific, well-defined responsibility
Solution Approach 2:
The patent introduces an intermediary layer (the restoration system) that processes information from multiple monitoring sources and coordinates restoration actions. This intermediary simplifies the overall system architecture by centralizing the decision-making logic and providing a unified interface for failure recovery, rather than requiring direct complex interactions between all monitoring components
3Productivity
If automated restoration scripts are executed without verification, then the restoration speed increases, but the risk of incorrect restoration actions increases
Solution Approach 1:
The system implements feedback mechanisms where health checks continuously monitor application status before, during, and after restoration actions. The restoration system receives feedback from health checks about whether restoration was successful, and can adjust its behavior accordingly. This feedback loop ensures rapid automated restoration while maintaining reliability through continuous verification
Solution Approach 2:
The restoration process is made dynamic and adaptive rather than rigid. The system can adjust restoration actions based on real-time conditions, such as modifying the run list of scripts based on the specific failure mode detected, or pausing restoration if health checks indicate ongoing issues. This dynamic approach enables fast restoration while ensuring correctness through adaptive verification
Data Source
AI summary
A self-healing system configured to automatically restore non-responsive or failed applications to a normal operating state. A self-healing system may restart an application after confirming that the application itself has failed—and not an underlying dependency failure. The self-healing system may also evaluate a server hosting an application reported as being non-responsive to determine whether that server has itself failed. If an application is non-responsive or has failed on an otherwise healthy host, and the dependent service use by the application are available, the self-healing system automatically restores the application to a responsive state. To do so, the self-healing system may generate a run list specifying a sequence of scripts invoked to restore the application to the responsive state.