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Connect OpenSearch to private ML endpoints

OpenSearch ML Commons enables secure, low-latency connections to machine learning endpoints hosted within private VPCs or behind firewalls. While self-managed OpenSearch can be con…

The forbidden index: Building privacy-preserving search with OpenSearch

At OpenSearchCon Europe 2026, Unnati Mishra and Akshat Khanna presented a method for handling search privacy during the data ingest phase rather than through retroactive access con…

Scaling Kubernetes Workloads with the OpenSearch KEDA Scaler

The new OpenSearch KEDA scaler, introduced in KEDA 2.20, allows Kubernetes workloads to scale directly based on any arbitrary query result from OpenSearch, such as error rates or l…

How a 60% speedup on Lucene vector search came from the CPU, not the algorithm

At OpenSearchCon Europe 2026, Amazon’s Shubham Chaudhary demonstrated how bypassing JVM limitations to implement native SIMD architecture achieved a 60% reduction in Lucene vector …

Code that ships: The OpenSearch Agent Skills Hackathon

The OpenSearch Project has launched the Agent Skills Hackathon, inviting developers to create production-ready AI skills for search and observability applications. Running from Jul…

OpenSearch at five: Building sustainability in open source infrastructure

Having surpassed 2 billion downloads, the OpenSearch Project demonstrates the long-term viability and structural durability of a vendor-neutral, community-driven governance model u…

Retrieve vectors 5x faster with docvalue_fields in OpenSearch

OpenSearch 3.7 introduces the ability to retrieve vectors via `docvaluefields` rather than the traditional `source` path, allowing for direct reading from the columnar store. This …

OpenSearch Ambassador applications are now open year-round

The OpenSearch Ambassador Program is transitioning to a rolling application model, allowing community members to apply year-round rather than during specific windows. Applications …

Intent is the thing: Dom Couldwell’s case for a different kind of enterprise search

At OpenSearchCon Europe 2026, Dom Couldwell argued that effective enterprise search must move beyond simple keywords to address user intent across three levels: query, journey, and…

Single pane of glass for all your telemetry: The OpenSearch Observability Stack

The OpenSearch Observability Stack is an OpenTelemetry-native platform that unifies metrics, traces, and logs into a single correlated store to streamline root cause analysis. The …

Data Prepper 2.16: Improved end-to-end metrics

OpenSearch Data Prepper 2.16 has been released, introducing a new pull-based Prometheus source and direct ingestion support for the OpenSearch Time-Series Database (TSDB). The upda…

The token trap: Why AI agents won’t kill open source (and what you missed at OpenSearchCon)

The keynote at OpenSearchCon India addressed the debate over whether agentic AI makes open source obsolete, arguing that using expensive compute to recreate existing infrastructure…