Automated Data Protection Policy Engine for IT Infrastructure Visibility
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Solution Overview
Problem
IT organizations face challenges in maintaining data application and availability while satisfying service level agreements and compliance requirements, due to unprecedented data growth straining IT resources and increased complexity in storage management paradigms, which requires more efficient automation in replication management.
Innovation Solution
A policy engine with a common user interface across various replication technologies for automated configuration and execution of data protection and disaster recovery policies, enabling application-level policy management, resource pool creation, analytics, and automated execution of protection policies, thereby simplifying the management of distributed replication processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual replication management processes are used, then flexibility in policy configuration is maintained, but operational efficiency and productivity decrease due to manual intervention requirements
Solution Approach 1:
The system implements self-service automation where the replication management system automatically discovers IT infrastructure components, configures replication policies, monitors data protection status, and executes recovery operations without manual intervention. The policy engine autonomously manages the entire data protection lifecycle, transforming manual processes into automated self-service operations.
2Measurement precision
If comprehensive monitoring of IT infrastructure is implemented, then visibility and measurement precision improve, but system complexity and resource consumption increase
Solution Approach 1:
The system introduces an intermediary policy engine that acts as a mediator between the complex IT infrastructure and the replication management functions. This intermediary component abstracts the complexity by providing standardized interfaces for discovering infrastructure components, translating business requirements into technical replication policies, and coordinating automated execution across multiple systems without requiring direct complex interactions between all components.
3Productivity
If automated policy execution is implemented, then productivity and response time improve, but system complexity and difficulty of detecting and measuring increase
Solution Approach 1:
The system implements comprehensive feedback mechanisms where the policy engine continuously monitors the execution status of replication policies, tracks data protection compliance metrics, and provides real-time visibility into system state. Automated feedback loops detect policy violations, measure compliance levels, and trigger corrective actions, enabling both high-speed automated execution and effective monitoring of policy adherence through standardized metrics and reporting.
Data Source
AI summary
IT organizations are challenged with maintaining data application and availability while satisfying service level agreements and compliance requirements. Unprecedented data growth is straining IT resources requiring greater investments, while capital and operational expenses are under scrutiny. Given this tension, IT organizations are seeking efficiency and optimization to regain control and meet business SLAs. Example embodiments of the present invention provide a method, an apparatus, and a computer program product for performing automated data protection with information technology (IT) infrastructure visibility. The method comprises receiving input regarding a desired state of a data protection environment for an IT infrastructure and creating a data protection environment according to the desired state of the data protection environment.