TL;DR: At a partner roundtable during OpenSearchCon last year, a community member pointed out that Apache Lucene no longer had a dedicated conference. Since Lucene is the engine that powers OpenSearch, we expanded our Search track into Sear…
TL;DR: OpenSearch 3.8 introduces an experimental memory retention feature for agentic memory containers. It lets you set retention_days (age-based) and max_count (count-based) limits on sessions, long-term memory, and history — automaticall…
TL;DR: In its first year, the OpenSearch Observability TAG brought together contributors from 10+ organizations to drive OTLP-native ingestion, Prometheus metrics support (shipped in OpenSearch 3.5), the OpenSearch Observability Stack, AI a…
TL;DR: AI agents produce far more telemetry than traditional services, and per-GB pricing makes observability unaffordable at scale. The OpenSearch Observability Stack is an open-source alternative that unifies logs, traces, and agent telem…
Build smarter agents, accelerate vector workloads, and streamline observability workflows OpenSearch 3.8 expands the platform’s search, AI, and observability capabilities with enhanced vector performance, broader agent integrations, and new…
TLDR: At OpenSearchCon Europe 2026, Bobby Mohammed (AWS) and Daniel Wrigley (OpenSource Connections) introduced Agentic Relevance Tuning (ART), a framework that uses specialized LLM agents to fully automate the search relevance lifecycle in…
TL;DR: OpenSearch ML Commons supports connections to private ML endpoints behind VPCs and firewalls. For self-managed OpenSearch, set plugins.ml_commons.connector.private_ip_enabled: true directly. For Amazon OpenSearch Service, enable VPC
TLDR: At OpenSearchCon Europe 2026, Unnati Mishra and Akshat Khanna (Angel One) argued that privacy in search must be handled during the ingest phase rather than retroactively through access controls. To solve the issue of sensitive data le…
Flagship event features insights from Apple, AWS, CERN, IBM, and more, fosters collaboration, and advances next-gen AI infrastructure Summary The OpenSearch Software Foundation today announced the schedule for OpenSearchCon North America 20…
TL;DR: The OpenSearch KEDA scaler (contributed by SAP, available in KEDA 2.20+) lets you scale Kubernetes workloads based on any OpenSearch query result — no separate metrics pipeline required. If your logs or traces are already in OpenSear…
Security in OpenSearch is built around four main features that work together to safeguard data and track activity within a cluster. Separately, these features are: Used together they provide effective protection of sensitive data by placing…
Follow step-by-step tutorials to learn how to use OpenSearch features. Learn the basics of searching and visualizing data in OpenSearch. Learn the fundamentals of search and explore OpenSearch query languages and types Start visualizing you…