Proactive Failover Node Evaluation for Application Availability
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Solution Overview
Problem
Existing failover technologies fail to evaluate the ability of secondary nodes to adequately service applications before failing over, leading to increased downtime and data loss when they are unable to do so.
Innovation Solution
Proactively evaluating failover nodes by identifying criteria they must satisfy and determining their ability to service applications before a primary node failure, and taking corrective actions to ensure service continuity, such as configuring or prioritizing other nodes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing failover technologies attempt to failover to a secondary node after detecting primary node failure, then application availability is maintained, but application downtime increases and data loss occurs when the secondary node is unable to adequately service the application
Solution Approach 1:
The system proactively evaluates failover nodes before actual failover events occur by checking resource availability, capacity, and suitability criteria. This preliminary assessment ensures that when failover is needed, the selected node is guaranteed to be capable of servicing the application, eliminating the waste of time from attempting failover to inadequate nodes.
Solution Approach 2:
The system continuously monitors and evaluates failover node status, using feedback from resource availability checks and capacity assessments to dynamically update failover priorities. This feedback mechanism ensures that the most suitable nodes are selected for failover, preventing downtime caused by inadequate node selection.
2Ease of operation
If static user-defined failover lists are used, then configuration simplicity is maintained, but the system cannot adapt to changing node capabilities and resource availability
Solution Approach 1:
The system replaces static failover lists with dynamic evaluation that continuously assesses node resource availability, capacity, and suitability. Failover priorities are automatically adjusted based on current system state, allowing the system to adapt to changing conditions while maintaining ease of operation through automated management.
Solution Approach 2:
The system automatically evaluates and selects appropriate failover nodes based on predefined criteria and current resource availability, eliminating the need for manual configuration updates. The system self-manages failover priority adjustments in response to changing node capabilities, maintaining operational simplicity while achieving adaptability.
Data Source
AI summary
A computer-implemented method for proactively evaluating failover nodes prior to the occurrence of failover events may include (1) identifying at least one primary node that services at least one application, (2) identifying at least one failover node designated to service the application if the primary node were to fail, (3) prior to detecting failure of the primary node, proactively evaluating the failover node's ability to service the application if the primary node were to fail, and then (4) in response to determining that the failover node would be unable to adequately service the application if the primary node were to fail, proactively performing at least one corrective action that would cause the application to be adequately serviced if the primary node were to fail. Various other methods, systems, and computer-readable media are also disclosed.