API Gateway Policy Enforcement for Multi-Tenant Resource Allocation
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Solution Overview
Problem
Existing API management systems lack the ability to dynamically adjust policies based on client identity, API endpoint, and system load, leading to inefficient resource allocation and potential abuse in multi-tenant environments.
Innovation Solution
Implementing API Level Objectives (ALOs) that define specific metrics and thresholds for API consumption, allowing administrators to dynamically adjust policies based on client identity, API endpoint, and system load, using a modular architecture with a gateway, ALI manager, ALO manager, and ALA manager to enforce fair resource allocation and prevent abuse.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If static one-size-fits-all API policies are used, then system simplicity is maintained, but resource allocation efficiency deteriorates and abusive consumption cannot be prevented
Solution Approach 1:
The patent segments API management into distinct functional modules: policy definition module, policy enforcement module, and monitoring module. Each module handles specific aspects of API management independently, allowing the system to achieve fine-grained control over resource allocation while maintaining manageable complexity through modular architecture.
Solution Approach 2:
The patent implements dynamic policy adjustment capabilities where API policies can be modified in real-time based on system load, client behavior patterns, and resource availability. This dynamic approach enables the system to optimize resource allocation efficiency without requiring complete system redesign, balancing adaptability with operational simplicity.
2Adaptability or versatility
If dynamic policy adjustment based on client identity and system load is implemented, then resource allocation fairness is improved, but system complexity increases
Solution Approach 1:
The patent creates a universal policy management framework that handles multiple functions through a single integrated system. The policy engine can dynamically adjust rates, quotas, and access rules based on client identity, API endpoint, and system load simultaneously, reducing the need for separate management systems for different control aspects.
Solution Approach 2:
The patent introduces a policy decision point (PDP) and policy enforcement point (PEP) as intermediary components. The PDP evaluates policy conditions and makes decisions, while the PEP enforces these decisions at API gateways. This intermediary architecture separates policy management complexity from execution, allowing dynamic adaptability while maintaining operational simplicity at the enforcement level.
3Reliability
If fine-grained API usage measurement and enforcement is implemented, then abusive consumption is prevented, but measurement and detection difficulty increases
Solution Approach 1:
The patent implements continuous feedback loops where API usage metrics are collected, analyzed, and used to dynamically adjust enforcement policies. The system monitors usage patterns in real-time and automatically responds to abnormal consumption patterns, making abuse detection and prevention automated rather than manual, thereby reducing measurement complexity while improving reliability.
Solution Approach 2:
The patent establishes baseline usage patterns and policy thresholds in advance through the policy definition module. These pre-configured rules and metrics provide a framework for detecting abusive behavior, reducing the complexity of real-time analysis by comparing actual usage against pre-established benchmarks rather than requiring complex on-the-fly decision-making.
Data Source
AI summary
In some implementations, the techniques described herein relate to a method including: receiving, at an API gateway, an API request from an API client; extracting, by the API gateway, a client identity associated with the API request; checking, by the API gateway, API Level Objectives (ALOs) associated with the client identity, the ALOs defining acceptable usage limits for the client identity; determining, by the API gateway, that the API request falls outside the acceptable usage limits defined by the ALOs; and applying, by the API gateway, an API Level Agreement (ALA) action, the ALA action specifying an action to be taken when an ALO is breached.