Multi-Cloud Network Dashboard for Connectivity Anomaly Detection
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Solution Overview
Problem
Network administrators face challenges in effectively troubleshooting connectivity issues and monitoring network health across multiple public cloud networks due to limited visibility and lack of conventional solutions for visualizing network connectivity and detecting operational abnormalities.
Innovation Solution
A system and method that provides operational visibility across multiple cloud networks by collecting and rendering graphical user interfaces to visualize network connectivity, traffic flow, and construct status, allowing for interactive visualization and dynamic topology mapping, with the ability to tag and search constructs and detect changes over time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If cloud network providers limit access to network information constructs, then user control and security are improved, but network visibility and troubleshooting capability deteriorate
Solution Approach 1:
The patent introduces a network information construct that acts as an intermediary layer between the cloud network provider's control mechanisms and the user's monitoring needs. This construct aggregates and presents network information in a standardized format that maintains security boundaries while providing comprehensive visibility for troubleshooting and anomaly detection across multi-cloud environments.
2Ease of manufacture
If conventional network monitoring solutions are used, then implementation simplicity is improved, but effectiveness in detecting multi-cloud connectivity issues deteriorates
Solution Approach 1:
The network information construct is designed with universal functionality that works across multiple cloud network providers and different cloud environments. It provides a unified interface for monitoring, troubleshooting, and detecting anomalies in multi-cloud deployments, eliminating the need for provider-specific monitoring solutions while maintaining broad compatibility and effectiveness.
3Difficulty of detecting and measuring
If detailed network information is collected across multiple cloud networks, then troubleshooting capability is improved, but system complexity and data management burden increase
Solution Approach 1:
The network information construct serves as an intermediary that collects, standardizes, and aggregates detailed network information from multiple cloud providers into a unified structure. This approach maintains comprehensive visibility for troubleshooting while abstracting away the underlying complexity of multi-cloud data collection and management.
4Speed
If real-time network monitoring is implemented, then anomaly detection speed is improved, but computational resources and energy consumption increase
Solution Approach 1:
The network information construct implements self-service mechanisms by maintaining local state information and performing preliminary analysis of network data. This reduces the need for continuous heavy computational processing by external monitoring systems, enabling faster anomaly detection while minimizing computational resource consumption and energy usage.
Data Source
AI summary
A distributed cloud computing system is disclosed that includes a controller configured to deploy a first gateway in a first cloud computing network and a second gateway in a second cloud computing network and logic. The logic, upon execution by one or more processors, causes operations including receiving, from the controller, metadata pertaining to a plurality of constructs, receiving, from each of the first and second gateways, network data, deriving gateway metrics spanning multiple cloud computing networks including at least the first and second cloud computing networks, wherein the deriving is based on at least the metadata and the network data of each of the first and second gateways, generating a dashboard visualization illustrating the gateway metrics, wherein the gateway metrics pertain to characteristics of each gateway and deployed constructs associated with each gateway, and causing rendering of the dashboard visualization on a display screen.