What's New in Search, Observability, and Vector Databases with OpenSearch - ANT201
AWS Events via YouTube
Learn Backend Development Part-Time, Online
Learn the Skills Netflix, Meta, and Capital One Actually Hire For
Overview
Google, IBM & Meta Certificates — All 10,000+ Courses at 40% Off
One annual plan covers every course and certificate on Coursera. 40% off for a limited time.
Get Full Access
Explore the latest Amazon OpenSearch Service launches and capabilities in this AWS re:Invent 2025 conference session. Discover new features that enable rapid deployment of agentic AI applications and vector search operations, including enhanced integrations with Amazon Q for intelligent data discovery and automated insights. Learn about improved Amazon S3 connectivity that streamlines data management and new vector database optimizations designed to accelerate AI/ML workloads for efficient development of agentic AI, semantic search, and recommendation systems. Examine cost optimization features and performance enhancements across all OpenSearch use cases, with significant updates to Observability capabilities. Gain insights into how these new launches and releases can transform your search and analytics infrastructure, whether you're building next-generation AI applications or scaling existing search systems.
Syllabus
AWS re:Invent 2025 -What’s new in search, observability, and vector databases w/ OpenSearch (ANT201)
Taught by
AWS Events