Multi-Cloud Tunneling with Latency Benchmarking
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Solution Overview
Problem
Organizations face technical limitations when deploying applications across multiple cloud service providers (CSPs), including latency issues, suboptimal database performance, and packet loss due to differing network addressing conventions.
Innovation Solution
A multi-cloud service system that establishes tunnels and network overlays across multiple CSPs, conducts latency benchmarking to identify cloud regions that meet latency and geographical criteria, and provisions these regions with VPN tunnels and VXLAN network overlays to ensure secure and reliable packet transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If cloud regions from multiple CSPs are used for distributed computing, then resource availability and scalability are improved, but latency increases due to physical distance between data centers
Solution Approach 1:
The system applies local quality by selecting and grouping cloud regions based on their specific latency characteristics to different data centers. It evaluates latency metrics for each cloud region and creates optimized groupings where regions with lower latency to specific data centers are preferred, thereby reducing overall system latency while maintaining multi-cloud deployment benefits
2Speed
If cloud regions are selected based on latency optimization, then communication speed is improved, but the complexity of region selection and provisioning increases
Solution Approach 1:
The system implements self-service by automatically evaluating latency metrics for multiple cloud regions and autonomously selecting and grouping optimal regions without requiring manual intervention. The system provisions cloud resources based on automated latency-based grouping, thereby achieving fast communication speeds while minimizing provisioning complexity through automation
3Adaptability or versatility
If different CSPs are connected over public network, then network connectivity is established, but security exposure increases due to public IP routing
Solution Approach 1:
The system applies the intermediary principle by introducing a secure private network connection as a mediator between different CSPs. Instead of allowing direct public IP routing between CSPs, the system establishes private network pathways that enable secure communication while maintaining multi-CSP connectivity, thereby reducing security exposure
4Ease of operation
If pods from different CSPs communicate using native addressing, then network simplicity is maintained, but packet loss occurs due to unrecognized addressing conventions
Solution Approach 1:
The system applies the intermediary principle by introducing network address translation (NAT) as a mediator between pods from different CSPs. The NAT mechanism translates addressing conventions between different CSPs, enabling pods to communicate using their native addressing while ensuring reliable packet delivery, thereby maintaining network simplicity without sacrificing reliability
Data Source
AI summary
A multi-cloud service system establishes tunnels and network overlays across multiple CSPs while meeting a criterion for a latency threshold. The system conducts a latency benchmarking evaluation across each cloud region for multiple CSPs and based on the latency bench marking evaluation results, the system may identify a group of cloud regions that satisfy a criterion such as predetermined maximum latency threshold or geographical restriction. The system may provision the group of cloud regions by provisioning a tunnel between nodes of the multiple CSPs. The system further establishes an overlay network on top of the tunnel by encapsulating packets using encapsulation end point such as VTEP (VXLAN tunnel end point) over VXLAN (Virtual Extension Local Area Network), which may help to ensure reliable transmission of packets from pod to pod. The system may inject user data into each node to initiate operations across the provisioned nodes using injected user data.