Cloud Database Provisioning With Automated Failover Rehydration
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing cloud computing platforms lack automated tools for deploying, managing, and integrating database resources, leading to manual, time-intensive processes that can result in delays, errors, and failure to meet service level agreements for high-availability and failover protocols.
Innovation Solution
A system and method for automatically provisioning and managing secure database resources in a cloud environment using centralized automation pipelines, integrating with identity authentication services, and configuring high-availability patterns to ensure seamless availability and failover, with monitoring and rehydration processes for updating resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual provisioning and management methods are used, then flexibility and customization are improved, but time consumption and resource intensity increase
Solution Approach 1:
The system implements self-service through automated provisioning pipelines that automatically deploy database instances, configure high-availability settings, and perform failover operations without manual intervention. The automation framework orchestrates resource allocation, service configuration, and monitoring tasks autonomously, eliminating the need for manual provisioning while maintaining operational flexibility through configurable templates and parameters.
2Productivity
If automated provisioning tools are implemented, then productivity and repeatability are improved, but system complexity increases
Solution Approach 1:
The automated provisioning system is segmented into distinct functional modules including resource template management, provisioning pipeline orchestration, configuration management, monitoring services, and failover coordination. Each module operates independently with well-defined interfaces, allowing the complex automation system to be managed through modular components that can be developed, tested, and maintained separately while working together to achieve automated database deployment and management.
3Ease of operation
If cloud platform native services are used, then integration ease is improved, but control and customization capability decrease
Solution Approach 1:
The system introduces an intermediary automation framework that sits between the cloud platform native services and the database provisioning processes. This intermediary layer provides standardized interfaces for integrating with cloud services while enabling deep customization of provisioning behaviors, configuration management, and failover policies. The framework translates high-level automation requirements into platform-specific operations, maintaining both ease of integration and extensive customization capability.
4Reliability
If high-availability configurations are implemented, then service reliability is improved, but resource requirements and system complexity increase
Solution Approach 1:
The high-availability configuration system implements dynamic resource allocation and failover policies that adapt to current system conditions and service demands. The automation framework monitors system state and dynamically adjusts resource distribution across database instances, enabling efficient utilization of available resources while maintaining availability guarantees. The system can dynamically switch between active-active and active-passive configurations based on workload requirements, optimizing resource usage while preserving service reliability.
Data Source
AI summary
Methods and apparatuses are described for automatically provisioning and managing secure database resources in a cloud computing environment. A server provisions virtual computing resources in the cloud computing environment using resource templates and creates a database instance in each of the virtual computing resources. The server integrates the database instances and the virtual computing resources in the cloud computing environment with an identity authentication service. The server configures the database instances in two or more of the virtual computing resources to synchronize data. The server monitors each of the plurality of virtual computing resources using a monitoring service. The server updates the database instances by detaching a physical disk drive from the database instance, deleting the virtual computing resource that contains the database instance, provisioning a new virtual computing resource, creating a new database instance in the new virtual computing resource, and re-attaching the physical disk drive.