InfoQ - Reinforcement Learning

Article: Autonomous Big Data Optimization: Multi-Agent Reinforcement Learning to Achieve Self-Tuning Apache Spark

Hina Gandhi — Fri, 30 Jan 2026 09:00:00 GMT

This article introduces a reinforcement learning (RL) approach grounded in Apache Spark that enables distributed computing systems to learn optimal configurations autonomously, much like an apprentice engineer who learns by doing. The author also implements a lightweight agent as a driver-side component that uses RL to choose configuration settings before a job runs.

By Hina Gandhi

Railway Highlights the Importance of Logs, Metrics, Traces, and Alerts for Diagnosing System Failure

Craig Risi — Wed, 28 Jan 2026 12:00:00 GMT

Railway’s engineering team published a comprehensive guide to observability, explaining how developers and SRE teams can use logs, metrics, traces, and alerts together to understand and diagnose production system failures.

By Craig Risi

Google Introduces TranslateGemma Open Models for Multilingual Translation

Daniel Dominguez — Wed, 28 Jan 2026 10:16:00 GMT

Google has released TranslateGemma, a set of open translation models based on the Gemma 3 architecture, offering 4B, 12B, and 27B parameter variants designed to support machine translation across 55 languages and to run on platforms ranging from mobile and edge devices to consumer hardware and cloud accelerators.

By Daniel Dominguez