
Developed a memory-aware Hybrid Cardinality Collector for the wazuh-indexer repository, enabling efficient handling of high-cardinality queries by dynamically switching between the Ordinals Collector and DirectCollector based on memory usage. This approach preserved previously computed aggregations, reducing recomputation and improving search throughput and latency for complex queries. Authored comprehensive user documentation and configuration guidance for the hybrid collector in the opensearch-project/documentation-website repository, facilitating straightforward adoption by end users. The work involved backend development and data aggregation using Java and Markdown, with updated unit tests to ensure stability and regression safety, demonstrating a focus on performance optimization and technical writing.
December 2025: Delivered a memory-aware Hybrid Cardinality Collector for wazuh-indexer that optimizes high-cardinality query performance by defaulting to the Ordinals Collector and switching to DirectCollector when memory thresholds are exceeded. This approach preserves already-computed aggregations to avoid recomputation, reducing latency on complex aggregations and improving overall search throughput. In parallel, authored user-facing documentation and configuration guidance for the hybrid collector to enable straightforward adoption. Unit tests were updated to validate new behavior and ensure stability.
December 2025: Delivered a memory-aware Hybrid Cardinality Collector for wazuh-indexer that optimizes high-cardinality query performance by defaulting to the Ordinals Collector and switching to DirectCollector when memory thresholds are exceeded. This approach preserves already-computed aggregations to avoid recomputation, reducing latency on complex aggregations and improving overall search throughput. In parallel, authored user-facing documentation and configuration guidance for the hybrid collector to enable straightforward adoption. Unit tests were updated to validate new behavior and ensure stability.

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