Multi-cloud management platform for autonomous resource provisioning
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Solution Overview
Problem
Managing multi-cloud environments is challenging due to the difficulty in maintaining consistent cloud security and compliance policies, deploying applications across multiple platforms, and federating and visualizing events from logging and monitoring tools to achieve a singular view, which can impact business continuity and service reliability.
Innovation Solution
A computer-implemented method and system that uses AI-infused algorithms and machine learning techniques to analyze use history, predict future needs, and autonomously implement solutions for auto-provisioning and rerouting resources across multiple clouds, ensuring business continuity by anticipating and addressing changes in business, environment, weather, computing power, and security factors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If multi-cloud management tools are used to monitor and manage deployments, then centralized management capability is improved, but device complexity and difficulty of operation increase due to multiple platforms and tools
Solution Approach 1:
The patent merges multiple cloud management functions and tools into a single unified multi-cloud management platform that provides centralized control. This consolidation integrates resource provisioning, monitoring, security management, and application deployment across multiple cloud providers into one system, reducing the complexity of managing separate tools while maintaining comprehensive management capability.
Solution Approach 2:
The multi-cloud management platform is designed with universal functionality to manage diverse cloud environments through a single interface. It provides multi-functional capabilities including but not limited to resource allocation, workload orchestration, security policy enforcement, and monitoring across different cloud providers, eliminating the need for provider-specific management tools.
2Reliability
If consistent security and compliance policies are maintained across multiple platforms, then reliability is improved, but device complexity and time consumption increase
Solution Approach 1:
The system performs preliminary actions by pre-configuring security and compliance policies within the unified management platform. These policies are established in advance and automatically applied across all managed cloud environments, eliminating the need for manual, repetitive policy maintenance and ensuring consistent security posture from the outset.
Solution Approach 2:
The platform implements continuous feedback mechanisms that monitor compliance status across multiple cloud platforms and automatically adjust policies to maintain consistency. This real-time feedback loop detects deviations from security policies and triggers automated remediation, reducing the time required for manual policy verification and enforcement.
3Reliability
If applications are consistently deployed across target environments and hosting platforms, then reliability is improved, but ease of operation decreases due to deployment complexity
Solution Approach 1:
The system enables self-service deployment by providing automated application deployment capabilities through the unified management platform. The platform automatically handles deployment workflows across multiple target environments and hosting platforms, including configuration management, resource provisioning, and workload orchestration, eliminating the need for manual intervention and reducing deployment complexity while ensuring consistency.
Data Source
AI summary
In an approach to improve the management of multi-cloud environment resources embodiments of the present invention execute provisioning and rerouting mechanisms to maintain continuity in the multi-cloud computing environment despite changes to one or more predetermined factors or an identified problem. Additionally, embodiments predict a future need of a system based on collected data and the executed provision and rerouting mechanisms and analyze use history within the multi-cloud computing environment. Moreover, embodiments identify one or more solutions to address the future needs of the system based on the analysis of the use history; and proactively and autonomously implement the one or more identified solutions based one or more predetermined criteria in the multi-cloud computing environment.