OpenSearchCon Europe 2026

In large-scale OpenSearch clusters, uneven workload distribution creates performance bottlenecks that traditional shard allocation strategies can't address. We present a groundbreaking approach to cluster optimisation through heat-aware operations, transforming how OpenSearch handles resource utilisation and workload distribution.

Our solution introduces a smart heat detection system that monitors cluster health across multiple dimensions - CPU, memory, I/O, and query patterns. By analysing both node and shard-level metrics using statistical methods, we can identify and classify various patterns of resource imbalance.

Key innovations include:
🔹 Multi-dimensional heat scoring for precise hotspot detection
🔹 Pattern recognition for automated root cause analysis
🔹 Intelligent rebalancing recommendations
🔹 Predictive scaling suggestions

Through real-world examples, we'll demonstrate how this system:
- Reduces query latency
- Optimises resource utilisation across clusters
- Prevents cascading performance issues
- Enables proactive capacity planning

Join us to explore how heat-aware operations are setting new standards for OpenSearch cluster performance and reliability.