Multi-Tenant Configuration Replication for Anomaly-Resilient Shard Access
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Solution Overview
Problem
Multi-tenant systems face challenges in scaling while maintaining performance and availability due to the increasing complexity of custom configurations, leading to difficulties in managing a large number of shards and ensuring consistent access to configuration data.
Innovation Solution
A configuration manager replicates configuration data across multiple shards in a multi-tenant system, allowing access to be provided from alternate shards in case of anomalies during updates, thereby ensuring consistent access and minimizing the number of shards required.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If configuration data is stored in a single shard for each tenant, then storage efficiency is improved, but availability deteriorates when anomalies occur during updates
Solution Approach 1:
The patent creates replica shards that contain copies of configuration data from primary shards. When an anomaly is detected during an update operation on a primary shard, the system can redirect read requests to replica shards that contain the previous valid version of the configuration data, thereby maintaining availability while using fewer total shards than a fully replicated system would require
Solution Approach 2:
Replica shards serve multiple functions: they act as standby copies for failover purposes and can also serve as read-only replicas for normal operations. This multi-functionality allows the system to maintain both availability and storage efficiency without requiring dedicated standby shards for each primary shard
2Reliability
If configuration data is replicated across multiple shards, then availability is improved, but device complexity increases
Solution Approach 1:
The configuration manager acts as an intermediary that automatically handles the complexity of shard management, including creating replica shards, routing read and write requests to appropriate shards, and detecting anomalies during updates. This centralized management layer shields the system from the complexity of distributed shard coordination while maintaining high availability
Solution Approach 2:
The system pre-creates replica shards before anomalies occur, so that when an anomaly is detected during an update, the replica shards are already in place and can immediately serve read requests. This preliminary preparation eliminates the need for complex real-time shard creation or migration operations during failure scenarios
3Stability of the object's composition
If updates are performed on primary shards only, then consistency is improved, but productivity deteriorates when anomalies occur
Solution Approach 1:
The system segments configuration data storage into primary shards (for write operations) and replica shards (for read operations). This segmentation allows the system to maintain strict consistency for updates by writing only to primary shards while simultaneously enabling high read productivity by directing read requests to available replica shards, even when primary shards are undergoing updates or experiencing anomalies
Data Source
AI summary
A request to update first configuration data associated with a first tenant of a multi-tenant system is received. The first configuration data can be included in a first shard residing at a first node of the system. The first shard can also include second configuration data associated with a second tenant. Upon initiation of an operation to update the first configuration data at the first node in accordance with the first request, an anomaly associated with the update at the first node is detected. A request to access the second configuration data is received. A second node that includes a second shard that includes the second configuration data is identified. An operation is performed to provide the second tenant with access to the second configuration data at the second node before the anomaly associated with the update to the first configuration data is resolved.