Unified Cloud Backup Service via Plugin Architecture
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Solution Overview
Problem
Existing backup and restore solutions for cloud services require separate code for each data source, leading to inefficiencies in management, increased resource usage, and limited scalability, as they lack a unified approach to handle diverse data sources and versions.
Innovation Solution
A dynamic backup and restore service is implemented using a plugin architecture, where a single management process invokes plugins for each data source, enabling unified backup and restore operations across different data sources and versions, with plugins handling specific logic for data copying and storage paths.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If separate backup and restore code is implemented for each data source, then each data source can be backed up and restored, but the device complexity and coding complexity increase significantly
Solution Approach 1:
The patent implements a universal backup and restore service that can handle multiple data source types (Postgres, Solr, and other NoSQL databases) through a single codebase. The service uses a standardized interface with configurable connection parameters and backup/restore commands specific to each data source type, eliminating the need for separate code implementations for each data source while maintaining full backup and restore functionality.
2Adaptability or versatility
If separate backup and restore code is implemented for each data source, then each data source can be managed independently, but resource usage increases and scalability is limited
Solution Approach 1:
The universal service consolidates resource usage by sharing common infrastructure including connection pooling, authentication mechanisms, and backup storage across all data sources. This eliminates redundant code maintenance and allows efficient scaling to accommodate new data source types without proportionally increasing resource consumption.
Solution Approach 2:
The service dynamically adapts to different data source types through configuration rather than code changes. Connection parameters, backup commands, and restore procedures are specified in configuration files or databases, allowing the system to flexibly support new data sources and versions without requiring code compilation or deployment, thereby improving both adaptability and resource efficiency.
3Productivity
If a unified backup and restore service is implemented, then resource efficiency and scalability improve, but handling diverse data sources and versions requires complex configuration
Solution Approach 1:
The configuration system uses localized, data-source-specific parameter sets that define connection details, backup commands, and restore procedures for each supported data source type. This allows the unified service to handle diversity through targeted, localized configurations rather than global complexity, making it easier to add support for new data sources by providing only their specific configuration parameters.
4Ease of manufacture
If internal backup and restore features of data sources are used, then implementation is simpler, but versatility is limited to data sources with such features
Solution Approach 1:
The unified backup and restore service acts as an intermediary layer between the user and various data sources. It provides a standardized interface for backup and restore operations while handling data-source-specific implementation details through configuration. This mediator approach maintains implementation simplicity for users while extending versatility to support any data source that can be configured through the standardized interface, including those without native backup/restore features.
Data Source
AI summary
A service, responsive to a request, determines a scope that includes a specific tenant and a specific component. The service is extensible through addition of different components to manage different data sources used by different services that contribute to a set of one or more multi-tenant cloud services. The service also determines, for the specific component, parameters usable to identify the specific tenant and a specific storage path. Each of the components, responsive to being called to perform a backup or restore with a current set of parameters, is to be implemented to cause data, which belongs to a currently identified tenant, to be copied between the respective one of the data sources and a backup store according to a currently identified storage path. The service also calls the specific component to perform the backup or restore with the parameters.