Research Article: Self-Optimizing Microservices with Reinforcement Learning Agents
Abstract
We introduce an autonomous optimization layer for microservices using reinforcement learning agents that tune resource limits and retry policies, improving request throughput by 18% with 12% cost reduction.
Cite this article
Rahimi, N. & Sokolov, V. (2025). Research Article: Self-Optimizing Microservices with Reinforcement Learning Agents. Research Explorations in Global Knowledge & Technology (REGKT), 4 (1). Retrieved from https://regkt.com/article.php?id=181&slug=self-optimizing-microservices-with-reinforcement-learning-agents