All news with #opensearch tag

Amazon OpenSearch Service Adds Cluster Insights Dashboard

🔍 Amazon OpenSearch Service now includes Cluster Insights, a unified monitoring dashboard that consolidates logs and metrics to give operators comprehensive operational visibility across nodes, indices, and shards. The feature automates correlation of critical data, highlights performance metrics and top‑N query analysis, and surfaces targeted remediation steps to speed troubleshooting. Built into the OpenSearch UI, Cluster Insights retains monitoring resilience during cluster unavailability and provides account‑level summaries for managing multiple deployments. It is available at no additional cost for OpenSearch 2.17 or later in regions where the OpenSearch UI is offered.

OpenSearch Service Adds Graviton4 EC2 Instance Support

🚀 Amazon OpenSearch Service now supports Graviton4-based EC2 instance families — compute-optimized C8g, general-purpose M8g, and memory-optimized R8g/R8gd — across multiple regions. Graviton4 processors deliver up to 30% better performance compared with Graviton3 and are supported on all OpenSearch versions as well as Elasticsearch 7.9 and 7.10. The change is intended to improve price-performance for compute-, general-, and memory-intensive search and analytics workloads.

OpenSearch Adds Derived Source Feature to Reduce Storage

🔧 Amazon OpenSearch Service announced support for Derived Source, an opt-in feature that lets you omit persisting the document _source and reconstruct it dynamically when needed. The capability, available with OpenSearch 3.1, reduces domain storage by skipping stored _source fields while still supporting search, get, mget, reindex, and update operations. Enable Derived Source at index creation using composite index settings.

OpenSearch Star-Tree Index Speeds Aggregations for Analytics

⚡ OpenSearch introduces the Star-Tree Index, an opt-in index type that pre-aggregates data at ingestion to enable sub-second responses for frequent high-cardinality and multi-dimensional aggregations such as terms, histogram, and range. The feature is designed for real-time analytics and requires no query syntax changes; OpenSearch automatically routes supported queries to the optimized path. Early benchmarks indicate markedly faster aggregation performance on large datasets with minimal impact to ingestion throughput. Available in regions that support OpenSearch 3.1 and enabled at index creation via composite index settings.

Amazon OpenSearch Service Adds AI-Powered Forecasting

📈 Amazon now lets customers generate AI-powered forecasts and visualizations from time-series data indexed into Amazon OpenSearch Service domains. Forecasts can enhance insights into infrastructure utilization, application and business metrics, website traffic, and system performance to help anticipate upcoming changes. You can set up forecasts directly from OpenSearch dashboards or the OpenSearch UI, and no data science or AI expertise is required. The feature is available in all regions that support OpenSearch 3.1+ domains.

Amazon OpenSearch Service adds OpenSearch 3.1 for vectors

🚀 Amazon OpenSearch Service now supports OpenSearch 3.1, bringing targeted improvements for vector-driven and traditional search workloads. The release bundles Lucene 10 for optimized vector field indexing, faster indexing times, reduced index sizes, sparse indexing, and vector quantization to lower memory usage. It also improves range query and high-cardinality aggregation latency and introduces a new Search Relevance Workbench for iterative quality testing. Additional vector search enhancements include Z-score normalization for more reliable hybrid search and memory-optimized Faiss support; OpenSearch 3.1 is available in all AWS Regions.