Cluster Node Restoration via Configuration Backup
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Solution Overview
Problem
Current cluster network environments face challenges in efficiently restoring integrity and maintaining availability due to complex node failures, data synchronization, and persistent states, leading to inconsistencies and incompatibilities during restoration processes.
Innovation Solution
The implementation of techniques for transparent and automatic restoration of nodes within a cluster network environment using local and cluster configuration backups, allowing for coherent reintegration of nodes into the cluster while maintaining operational integrity, even in the presence of node failures or quorum loss, through methods such as using tarball backups and synchronizing nodes with healthy cluster configurations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If complex fine grain commands are used to restore integrity to nodes and cluster network environment, then reliability is improved, but device complexity increases
Solution Approach 1:
The patent combines multiple restoration operations into a single automated process. The system merges node restoration, configuration restoration, and cluster reintegration into one unified recovery operation that executes automatically upon detecting integrity loss, eliminating the need for administrators to manually coordinate multiple complex commands.
Solution Approach 2:
The system implements self-service automation where the cluster monitoring service automatically detects integrity loss, initiates restoration procedures, and reintegrates recovered nodes without human intervention. The automated service selects appropriate restoration methods, executes recovery commands, and validates cluster integrity, making the system self-healing.
2Ease of operation
If manual restoration procedures are used where administrators choose node replicas, then ease of operation is improved, but reliability deteriorates due to potential selection of incorrect configuration data
Solution Approach 1:
The system incorporates feedback mechanisms where the monitoring service continuously tracks node health and configuration integrity. When integrity loss is detected, the system automatically queries available backup sources, evaluates their suitability based on current cluster state, and selects the optimal restoration source, providing feedback-driven decision-making that ensures reliability while maintaining operational simplicity.
Solution Approach 2:
The automated monitoring and management service acts as an intermediary between the administrator and the complex restoration process. The administrator simply initiates recovery, and the intermediary service handles all complex decisions about which node replica to restore, what configuration data to apply, and how to reintegrate the node, eliminating manual selection errors while keeping the interface simple.
3Reliability
If extensive data synchronization is performed during node restoration in cluster network environment, then reliability is improved, but loss of time increases
Solution Approach 1:
The system performs preliminary actions by maintaining pre-synchronized backup copies of node configurations and cluster state data across multiple nodes before failures occur. When restoration is needed, the system can immediately deploy from these pre-prepared backups, avoiding the need to perform extensive synchronization during the critical recovery window, thus reducing restoration time while maintaining consistency.
Solution Approach 2:
The system creates and maintains copy instances of critical configuration data and node states across multiple cluster nodes through continuous replication. When a node fails, a healthy copy is immediately activated, and synchronization is performed in the background rather than blocking the restoration process, enabling rapid recovery while ensuring eventual consistency across the cluster.
4Adaptability or versatility
If cluster network environment maintains persistent state across multiple nodes with multiple service instances, then adaptability is improved, but device complexity increases due to synchronization requirements
Solution Approach 1:
The system segments the cluster state management into distinct components: node-level local state, cluster-wide configuration state, and service-specific runtime state. Each segment is managed independently with appropriate synchronization strategies, reducing the overall complexity of maintaining persistent state across distributed nodes while preserving the adaptability of service distribution.
Data Source
AI summary
A cluster network environment may comprise a plurality of nodes configured to perform various tasks, such as data I/O, storage, backup, etc. It may be advantageous to improve disaster recovery and reliability by creating backups that may be used to restore the cluster network environment and/or nodes therein. Accordingly, one or more techniques and/or systems are disclosed for restoring a cluster network environment and/or nodes therein. In particular, cluster configuration data, which may be stored in a healthy node or at a remote source, may be used to restore a node affected by an integrity loss. If the integrity loss affects the cluster network environment (e.g., a majority of healthy nodes are lost), then a new cluster network environment may be created from a healthy node or a restored healthy node. The creation of the new cluster network environment may be based at least in part on cluster configuration data.