Cluster Node Re-Merge Using Failure Signature Auto-Remediation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Nodes in a clustered filesystem can unexpectedly fail and become orphaned, leading to a degraded state of the node cluster, requiring manual technical support intervention to re-merge the node and resolve the issue, which is time-consuming and inefficient.
Innovation Solution
A system and method that automatically remediates a failed node by analyzing an operation log against a set of signatures to identify a known failure scenario, enabling proactive re-merging of the node into the cluster and minimizing downtime through automated remediation actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual technical support intervention is used to re-merge a failed node, then the node can be restored to the cluster, but the process is time-consuming and inefficient
Solution Approach 1:
The system enables automatic self-diagnosis and self-repair by having the failed node itself generate operation logs and the cluster system automatically analyze these logs to identify failure scenarios and execute remediation actions without requiring manual technical support intervention
Solution Approach 2:
The system pre-configures remediation actions for known failure scenarios by maintaining a database of failure signatures and corresponding remediation procedures, allowing the system to automatically execute appropriate actions when failures are detected without waiting for manual analysis
2Productivity
If automated remediation is implemented, then manual support intervention is reduced, but the system complexity increases
Solution Approach 1:
The system introduces an intermediary analysis component that acts as a mediator between the failed node and the remediation execution system. This intermediary automatically collects operation logs, analyzes them against known failure signatures, and selects appropriate remediation actions, simplifying the overall architecture by centralizing the intelligence in a dedicated analysis layer
3Duration of action of moving object
If the node is automatically analyzed and remediation is executed, then downtime is minimized, but the risk of incorrect remediation increases
Solution Approach 1:
The system implements feedback mechanisms where operation logs from the failed node are continuously monitored and analyzed, and the results of remediation actions are tracked to ensure successful node re-merging. This feedback loop allows the system to learn from outcomes and improve future remediation decisions
Solution Approach 2:
The system performs preliminary analysis of operation logs against a pre-established database of failure signatures and their corresponding verified remediation actions before executing any changes. This preliminary matching process ensures that only proven remediation actions are executed, reducing the risk of incorrect interventions
Data Source
AI summary
The described technology is generally directed towards dynamically, and automatically, determining cause of failure regarding a node (aka orphan node) no longer being included in a cluster of nodes originally configured to operate in conjunction with the orphan node. An operation log can be compiled for the orphan node at the time the separation occurred. The log can be compared with signatures comprising previously identified split conditions and associated action(s) taken to reconnect an orphan node with a cluster of nodes. In the event of a prior signature matches the log, the associated action can be applied to the current orphan node to re-merge the orphan node with the cluster of nodes. In the event of no prior signature is found to match the log, operational analysis of the orphan node can be forwarded to technical support for further determination of the cause of the orphan status of the node.