Dynamic API Gateway Routing for Geolocation Compliance
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Solution Overview
Problem
Existing API gateways in cluster environments face complexity in configuring services due to real-world considerations such as data sovereignty regulations, which are not adequately addressed by current abstraction methods, leading to challenges in complying with geolocation and data storage restrictions.
Innovation Solution
A dynamic API gateway that infers client geolocation and forms a logical sub-cluster view, dynamically routing requests based on metadata to ensure compliance with regulatory rules, and can extend or instantiate services as needed to meet client requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If an API gateway provides abstraction of cluster configuration from clients, then client ignorance of hardware configuration is achieved, but compliance with geolocation and data storage regulations becomes difficult
Solution Approach 1:
The patent implements dynamic routing decisions based on request metadata such as client geolocation. The API gateway dynamically determines which services to route to based on real-time conditions (client location, service capabilities), allowing the system to adapt to regulatory requirements while maintaining abstraction from clients. This resolves the contradiction by making the routing behavior dynamic rather than static.
Solution Approach 2:
The API gateway acts as an intermediary between clients and cluster services. It receives requests from clients, examines metadata (including geolocation), and routes to appropriate services based on regulatory compliance requirements. This intermediary role allows the gateway to enforce regulations without clients needing to know the underlying hardware configuration or service topology.
2Adaptability or versatility
If services are dynamically routed based on client metadata, then regulatory compliance is improved, but routing decision complexity increases
Solution Approach 1:
The routing decision process is segmented into multiple independent components: metadata extraction, compliance rule evaluation, and service selection. The gateway examines specific metadata fields (geolocation, service capabilities) separately and applies compliance rules to determine routing decisions. This segmentation reduces the complexity of the overall decision-making process by breaking it into manageable steps.
Solution Approach 2:
The system changes routing parameters based on client metadata such as geolocation. Instead of using fixed routing rules, the gateway adjusts routing decisions dynamically based on parameters like client location, service capabilities, and regulatory requirements. This parameter-based approach simplifies compliance by making routing flexible rather than rigid.
3Adaptability or versatility
If a logical sub-cluster view is formed based on client requirements, then service configuration flexibility is improved, but cluster management complexity increases
Solution Approach 1:
The cluster is segmented into logical sub-clusters based on client requirements and service capabilities. The API gateway creates a virtual view of the cluster that is tailored to each client's needs, separating the logical view from the physical cluster configuration. This segmentation allows flexible service configuration without requiring complex changes to the underlying cluster management infrastructure.
Solution Approach 2:
The API gateway provides universal functionality by serving multiple clients with different regulatory requirements through a single unified system. It can simultaneously manage different sub-cluster views for different clients without requiring separate management systems. This multi-functional approach reduces overall management complexity while maintaining flexibility for each client's specific needs.
Data Source
AI summary
A gateway device receives a request from a client device, the gateway to provide access to a plurality of services provided by a plurality of compute nodes. A manifest is created based on metadata associated with the request and characteristics of the plurality of services, the manifest identifying a logical view of a subset of the plurality of services provided by a subset of the plurality of compute nodes. The request is routed to one of the subset of the plurality of services based on the manifest.