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Logs are the foundation of most observability platforms, but they are also where OpenSearch clusters fail first. Shard explosion, uncontrolled mappings, slow queries, and rising storage costs are common outcomes of poorly designed log workloads.
This session focuses on a single, concrete problem: how to design and operate OpenSearch for high-throughput log observability in production. Drawing from real-world experience, it goes deep into the architectural and operational decisions that matter most when handling large log volumes.
The talk covers log ingestion pipelines, index and shard design, lifecycle management, and query performance tuning specifically for observability use cases. Instead of default setups and theory, attendees will learn what actually works, what breaks at scale, and how to fix it.
By the end of the session, participants will have a practical blueprint for running OpenSearch as a reliable, cost-effective log observability platform.
Friday April 17, 2026 13:35 - 14:15 CEST Bohemia 3
