GraphQL Performance Framework for SLA Compliance
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Solution Overview
Problem
Existing technologies face challenges in measuring and optimizing the performance of GraphQL query language endpoints, particularly in distributed systems, due to complexities in data retrieval, latency issues, and the lack of standard performance metrics.
Innovation Solution
The implementation of a performance framework that includes test suite generation, execution, and analysis circuitry, which generates and executes test suites to determine performance metrics, compares actual response times to Service Level Agreements (SLAs), and notifies developers of any violations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If automated query language performance metrics are implemented, then measurement precision of endpoint performance is improved, but device complexity increases
Solution Approach 1:
The performance framework is segmented into distinct functional modules: test suite generation circuitry, test suite execution circuitry, and analyzer circuitry. Each module handles specific aspects of performance measurement independently, making the overall complex system manageable and maintainable while achieving precise performance metrics through coordinated operation of these segments.
Solution Approach 2:
The patent introduces an intermediary performance framework that sits between the GraphQL endpoint and the measurement system. This framework includes test suite generation that creates standardized test cases, execution circuitry that runs these tests, and analyzer circuitry that processes results - serving as a mediator that simplifies the complexity of measuring endpoint performance without requiring direct complex measurements.
2Reliability
If test suite generation and execution circuitry are added, then reliability of performance measurement is improved, but device complexity increases
Solution Approach 1:
The test suite generation circuitry performs preliminary action by pre-generating comprehensive test suites before actual performance measurement. These test suites include various query types, data volumes, and scenario configurations that are prepared in advance, ensuring reliable and comprehensive performance measurement when executed without requiring complex real-time test case generation during measurement.
Solution Approach 2:
The analyzer circuitry implements feedback mechanisms that compare actual endpoint performance against Service Level Agreements (SLAs) and provide notifications when violations occur. This feedback loop ensures reliable measurement by continuously monitoring and validating performance data, automatically detecting issues, and triggering appropriate responses without requiring complex manual analysis procedures.
3Ease of operation
If SLA comparison and notification mechanisms are implemented, then ease of operation is improved, but device complexity increases
Solution Approach 1:
The performance framework implements self-service operation where the system automatically generates test suites, executes them against the GraphQL endpoint, analyzes performance data, compares results against predefined SLAs, and sends notifications without requiring manual intervention. This automation significantly improves ease of operation by eliminating the need for manual performance testing and monitoring while the complexity is contained within the automated framework's internal structures.
Data Source
AI summary
Systems, apparatus, articles of manufacture, and methods are disclosed to test an automated query language by interfacing with a query endpoint, generating a first test suite based on a plurality of combinations of a plurality of attributes corresponding to an API specification, transmitting the first test suite to be executed on the query endpoint, the first test suite to include instructions to cause the query endpoint to access data stored in a database accessible to a plurality of secondary endpoints, obtaining a response time corresponding to the access of the data, comparing the response time corresponding to the access of the data with a service level agreement required response time, and in response to the response time corresponding to the access of the data being longer than the service level agreement required response time, notifying a developer of the plurality of secondary endpoints.