Proactive API Endpoint Routing via CI/CD Testing
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Solution Overview
Problem
Application developers lack insight into the performance and reliability of API endpoint hosts, making it difficult to direct API calls to the most efficient and reliable endpoints, which can lead to suboptimal user experiences and increased troubleshooting challenges.
Innovation Solution
A system that proactively identifies API calls in application code, conducts testing across multiple endpoints, selects the most reliable and high-performing endpoint, and steers API calls towards that endpoint, without requiring code changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If developers rely on DNS resolution to route API calls, then the system is simple and easy to operate, but the application cannot achieve high availability, high reliability, and high responsiveness
Solution Approach 1:
The system performs preliminary actions by proactively detecting and evaluating API endpoint performance characteristics before the application actually makes API calls. This advance detection allows the system to establish a performance baseline and create routing rules in advance, so that when API calls are made, the application can immediately route to the best-performing endpoint without complex real-time decision-making.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring API endpoint performance and using this information to dynamically adjust routing decisions. The performance detection results feed back into the routing logic, enabling the system to adapt to changing endpoint conditions and maintain high reliability without requiring complex manual configuration.
2Productivity
If developers manually test and evaluate API endpoints, then they can select the best endpoint, but this process is time-consuming and not scalable
Solution Approach 1:
The system enables self-service by allowing API endpoints to be automatically evaluated and selected based on their performance characteristics. The proactive detection mechanism automatically gathers performance data, analyzes endpoint quality, and makes routing decisions without requiring developer intervention or manual testing, thereby eliminating time losses while maintaining high productivity.
Solution Approach 2:
The system replaces the mechanical process of manual endpoint testing and evaluation with an automated computational system. Instead of developers manually testing endpoints (a mechanical, time-consuming process), the system uses automated performance detection and analysis algorithms to evaluate and select endpoints, dramatically improving efficiency and eliminating time losses.
3Reliability
If the system proactively detects and tests multiple API endpoints, then it can select the best endpoint, but this increases system complexity
Solution Approach 1:
The system applies local quality by focusing detection and evaluation efforts on specific, relevant API endpoint characteristics rather than进行全面 analysis of all possible parameters. The proactive detection mechanism identifies and measures only the performance attributes that matter for routing decisions, enabling reliable endpoint selection without the complexity of comprehensive system-wide monitoring.
Data Source
AI summary
In one embodiment, a device identifies an application programming interface call within new code for an application. The device conducts testing of a plurality of endpoints associated with the application programming interface call. The device selects, based on results of the testing, a particular endpoint from among the plurality of endpoints. The device steers the application programming interface call made by the application towards the particular endpoint.