Multi-Cloud Tunnel Orchestration for Secure Site Connectivity
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Solution Overview
Problem
Managing and scaling network infrastructure to handle increasing data traffic across multiple cloud networks is complex, especially when dealing with different cloud providers, requiring efficient and secure connectivity solutions that adapt to dynamic cloud environments and hybrid setups.
Innovation Solution
A system and method for providing connectivity as a service, utilizing a controller to automatically establish site-to-site connections between cloud networks, monitor tunnel health, and dynamically scale bandwidth, while handling provider-specific protocols and configurations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual configuration of site-to-site connections is used across multiple cloud networks, then connectivity can be established between cloud networks, but the complexity of managing and scaling network infrastructure increases significantly
Solution Approach 1:
A controller is introduced as an intermediary component that automatically manages site-to-site connections between cloud networks. The controller receives connection requests, configures tunnels between network sites, and handles scaling operations, thereby eliminating the need for manual configuration and reducing infrastructure management complexity while maintaining reliable connectivity.
Solution Approach 2:
The system enables automatic self-configuration of network connections through the controller, which autonomously performs tunnel establishment, bandwidth scaling, and connection management without requiring manual intervention. This self-service capability reduces operational complexity while ensuring reliable connectivity across hybrid cloud environments.
2Reliability
If dedicated connections are established between cloud networks, then more reliable and consistent connectivity is achieved, but the complexity of dealing with different cloud providers' protocols and configurations increases
Solution Approach 1:
The controller is designed with multi-functional capabilities to handle multiple cloud providers' protocols and configurations through a single unified interface. It can automatically adapt to different cloud environments (AWS, Azure, Google Cloud, etc.) and manage diverse connection types (VPN, Direct Connect, ExpressRoute) without requiring separate manual configuration for each provider, thereby maintaining connectivity consistency while reducing configuration complexity.
3Productivity
If network infrastructure is manually scaled to handle increasing data traffic, then connectivity capacity can be increased, but the time and effort required for scaling operations increases
Solution Approach 1:
The controller implements dynamic scaling capabilities that automatically adjust network connection bandwidth and capacity based on real-time traffic demands. When data traffic increases, the controller automatically scales up connection capacity by provisioning additional bandwidth or creating redundant tunnels, and when traffic decreases, it scales down to optimize resource utilization. This dynamic adaptation eliminates manual scaling operations and reduces the time required to respond to changing traffic patterns.
Solution Approach 2:
The system incorporates feedback mechanisms that continuously monitor network traffic patterns and connection performance. Based on this feedback, the controller automatically makes scaling decisions to increase or decrease connectivity capacity, ensuring that data traffic handling capacity matches actual demand without manual intervention and minimizing scaling operation time.
Data Source
AI summary
The present technology provides intercloud connectivity as a service by discovering components of the organization's deployment in various sites, irrespective of the cloud provider, such that two sites can merely be selected along with a few standard options, and the controller can handle the complexity of instantiating a tunnel between the cloud sites automatically. Further, the controller can monitor the health of one or more tunnels between the cloud sites to automatically scale bandwidth up or down.