Implementation of Event-Driven Architecture using NATS JetStream for a Large-Scale Online Exam Answer Collection System
DOI:
https://doi.org/10.59261/jbt.v7i2.654Keywords:
asynchronous computing, event-driven architecture, load testing, nats jetstream, online examAbstract
Background: Online examination systems—even at the prototype and institutional levels—face serious performance challenges under synchronized spike conditions. This study, conducted on a prototype (Chilaedu) with 300 synthetic users, demonstrates that conventional synchronous (request-response) architecture has thread-capacity limitations that trigger gateway timeout failures, thereby undermining overall assessment system reliability.
Objective: This research designs and evaluates the architectural transition toward an asynchronous Event-Driven Architecture (EDA) approach using the Go runtime and the NATS JetStream message broker on the Chilaedu e-learning platform prototype.
Methods: System performance was evaluated using a load-testing scenario based on a custom testing tool developed with Go and Python to simulate synchronized spike conditions at concurrency levels of 10, 25, 50, and 100, with 300 synthetic user entities per scenario, in a single-server isolated prototype environment.
Results: The test results show that the asynchronous architecture successfully maintained a throughput of 2,209 requests per second with an HTTP error rate of 0.00%. The system operated efficiently with an average memory consumption of 70 MB and a peak CPU utilization of 18.03%. Latency at the 99th percentile (p99) was recorded at 79.02 ms, which is below the feasibility threshold of 100 ms, thereby preventing user interface freezes (browser freezes). A comparison with the synchronous monolithic approach documented in previous research shows a significant increase in load-handling capacity.
Conclusion: The NATS JetStream-based EDA architecture proves effective as a solution for improving the reliability and efficiency of large-scale online exam answer collection infrastructure.
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