Virtual Private Gateways for Data Center Connectivity
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Solution Overview
Problem
Existing data center connectivity solutions using proprietary network devices and complex routing protocols often result in high costs, sub-optimal performance, and increased failure detection rates due to inefficient routing and resilience issues.
Innovation Solution
Implementing virtual private gateways (VPGs) using compute instances within a provider network, which enable secure and scalable connectivity between customer data centers and isolated virtual networks, leveraging protocol processing engines (PPEs) for efficient routing and health monitoring to ensure high availability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If proprietary network devices are used for gateways, then connectivity between data centers and virtual networks is established, but costs increase and device complexity increases
Solution Approach 1:
The patent replaces proprietary physical gateway devices with virtual gateway instances that replicate gateway functionality through software. These virtual gateways are implemented as virtual machine instances on standard server hardware, copying the essential routing and networking functions of proprietary devices without requiring specialized hardware, thereby reducing cost and complexity while maintaining connectivity reliability
Solution Approach 2:
The patent substitutes mechanical/physical proprietary network devices with software-based virtual gateway implementations running on virtualized infrastructure. This replacement transitions from hardware-dependent gateway functions to software-defined networking capabilities, eliminating the need for specialized proprietary equipment while preserving gateway functionality through virtualized network functions
2Reliability
If complex routing protocols are implemented, then network connectivity is achieved, but performance decreases and false failure detection increases
Solution Approach 1:
The patent segments the routing functionality into distributed virtual gateway instances that independently handle routing decisions using simplified protocols. Rather than implementing complex centralized routing logic, each virtual gateway instance autonomously manages its own routing table and forwarding decisions, dividing the routing task into manageable segments that improve overall performance and reduce false failure detections
Solution Approach 2:
The patent changes the routing protocol parameters by implementing simplified routing logic in the virtual gateways compared to complex proprietary protocols. The virtual gateways use standard化的 routing mechanisms with optimized parameters for the virtualized environment, changing the operational characteristics of routing to achieve better performance while maintaining reliable network connectivity
3Reliability
If traditional failure detection methods are used, then component failures are detected, but false positive and false negative rates increase
Solution Approach 1:
The patent implements feedback mechanisms where virtual gateway instances continuously monitor each other's health status and connectivity states. Health check protocols provide feedback loops that allow the system to dynamically adjust failure detection based on actual network conditions, reducing false positives by confirming failures through multiple verification steps and reducing false negatives by maintaining continuous monitoring of gateway instances
Solution Approach 2:
The patent performs preliminary health checks and connectivity verification before declaring component failures. By implementing pre-failure detection mechanisms that monitor gateway instance health proactively, the system can distinguish between temporary network fluctuations and actual failures, improving measurement precision in failure detection by taking preliminary actions to verify true failure states before triggering failure responses
Data Source
AI summary
A first analysis based on at least a subset of collected health metrics of a monitored resource is performed at a health monitoring service. If the first analysis indicates that the probability that the monitored resource is in an unhealthy state is above a threshold, a mitigation action that includes directing at least some of the workload away from the monitored resource is implemented. In addition, a remediation analysis of the monitored resource is started to determine, using at least one additional health metric that was not examined in the first analysis, whether a longer-term remediation action is to be initiated.