Automated Cloud Connectivity via SD-WAN BGP Peering
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Solution Overview
Problem
Enterprise networks face challenges in managing complex network topologies, leading to lower uptime, unstable connectivity, and increased administrative burdens.
Innovation Solution
The implementation of automated methods and systems for configuring virtual cross connects on SDWAN routers, assigning BGP parameters, and establishing BGP peering to dynamically connect on-premises sites to cloud environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual configuration methods are used for network connectivity, then network administrators can control connectivity settings, but the process becomes time-consuming and error-prone
Solution Approach 1:
The system enables self-service connectivity setup by allowing network administrators to define high-level connectivity intents without specifying detailed configuration parameters. The automated system interprets these intents and configures connectivity settings automatically, eliminating manual configuration tasks while maintaining administrative control over connectivity goals.
Solution Approach 2:
The patent replaces manual mechanical configuration processes with automated system-based configuration. Instead of administrators manually configuring network connectivity parameters, the system uses automated scripts and APIs to establish connectivity, thereby increasing setup speed and reducing errors.
2Adaptability or versatility
If complex network topologies are implemented to fulfill enterprise demands, then network functionality and flexibility improve, but network reliability and stability deteriorate
Solution Approach 1:
The system segments network connectivity into discrete, manageable components by establishing separate virtual connections for different network segments. This allows complex network topologies to be built from modular units, each independently configured and managed, thereby maintaining flexibility while improving overall stability through isolation of failures.
Solution Approach 2:
The automated system continuously monitors connectivity status and provides feedback to adjust network configurations in real-time. This feedback mechanism enables the system to detect and respond to topology changes or failures, maintaining network stability even as complex topologies are implemented to meet evolving enterprise needs.
3Ease of operation
If manual connectivity configuration is performed, then detailed control over connectivity parameters is achieved, but administrative workload and time consumption increase
Solution Approach 1:
The system performs preliminary actions by pre-defining connectivity templates and configurations that can be automatically applied to network segments. Administrators can prepare and store connectivity settings in advance, and the automated system retrieves and applies these pre-configured settings during deployment, significantly reducing setup time while maintaining detailed control through template customization.
Solution Approach 2:
The patent employs copying by replicating successful connectivity configurations across multiple network segments. Instead of manually configuring each segment individually, the system copies validated connectivity templates to multiple locations, maintaining detailed control through template customization while dramatically reducing the time required to deploy connectivity across the entire network.
Data Source
AI summary
The present technology pertains to receiving a tag associating at least one routing domain in an on-premises site with at least one virtual network in a cloud environment associated with a cloud service provider. The present technology also pertains to the automation of populating route and propagation tables with the cloud service provider.