Multi-Cloud Messaging System for Hybrid Data Exchange
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Solution Overview
Problem
In a multi-cloud computing environment, orchestrating data exchange between different cloud platforms is complex, requiring a centralized system to broker data exchange and manage operations across hybrid cloud setups involving private and public cloud providers.
Innovation Solution
A messaging system is implemented with a multi-cloud controller that sends messages to a message queue, normalizing and encrypting data to conform to native formats of each cloud platform, allowing for efficient data exchange and management between public and private cloud platforms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a centralized messaging system is implemented to orchestrate data exchange between multiple cloud platforms, then workflow coordination and workload balancing are enhanced, but system complexity increases due to the need to manage multiple cloud providers and normalize different data formats
Solution Approach 1:
The patent implements a centralized messaging system that acts as an intermediary between multiple cloud platforms. The messaging system receives messages from cloud platforms, normalizes their formats, routes them to appropriate queues, and delivers them to target platforms. This mediator approach simplifies multi-cloud orchestration by providing a single point of control rather than requiring direct peer-to-peer communication between all platforms.
Solution Approach 2:
The messaging system is designed with universal functionality to handle messages from and to multiple different cloud platforms simultaneously. It can normalize various data formats, manage different authentication methods, and route messages to appropriate destinations across hybrid cloud environments, making it adaptable to diverse cloud providers without requiring platform-specific implementations.
2Adaptability or versatility
If data is normalized to conform to native formats of each cloud platform, then platform-specific data handling is improved, but processing time increases due to format conversion requirements
Solution Approach 1:
The messaging system performs preliminary normalization of data formats as messages are received and deposited into queues, rather than waiting until delivery time. By pre-processing and normalizing formats early in the message lifecycle, the system avoids last-minute conversion delays and ensures messages are ready for immediate delivery to target platforms in their required formats.
Data Source
AI summary
A method for messaging in a hybrid multi-cloud computing environment may include receiving, from a multi-cloud controller, a message. The hybrid multi-cloud computing environment may include multiple cloud platforms hosted on private, on premise infrastructure as well as public, third-party infrastructure. The multi-cloud controller may send the message to control an operation of the cloud platform. In response to receiving the message from the multi-cloud controller, the message may be deposited in message queue. The cloud platform may send a request to retrieve data destined for the cloud platform. The message from the message queue may be sent to the cloud platform in response to the request. Related systems and articles of manufacture, including computer program products, are also provided.