https://www.infoq.com InfoQ Big Data News feed https://www.infoq.com/news/2026/04/pinterest-spark-oom-reduction/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=Big+Data-news <img src="https://res.infoq.com/news/2026/04/pinterest-spark-oom-reduction/en/headerimage/workflow-1775338668860.jpeg"/><p>Pinterest Engineering cut Apache Spark out-of-memory failures by 96% using improved observability, configuration tuning, and automatic memory retries. Staged rollout, dashboards, and proactive memory adjustments stabilized data pipelines, reduced manual intervention, and lowered operational overhead across tens of thousands of daily jobs.</p> <i>By Leela Kumili</i> Big Data Optimization Cost Optimization Memory Architecture Analysis Batch Processing Observability Architecture Distributed Systems Apache Spark Development Architecture & Design news Mon, 06 Apr 2026 14:32:00 GMT https://www.infoq.com/news/2026/04/pinterest-spark-oom-reduction/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=Big+Data-news Leela Kumili 2026-04-06T14:32:00Z /news/2026/04/pinterest-spark-oom-reduction/en