Amazon Web Services (AWS) has re-architected Amazon OpenSearch Service with a new optimized engine for log analytics that delivers up to a 70% reduction in storage requirements. The update introduces a dual data-structure approach beneath a unified query layer, pairing a new columnar format for rapid aggregations with the platform’s traditional inverted index for full-text search. According to AWS, this can deliver up to a 70% reduction in storage needs, 2x faster analytical queries, and a 2x increase in ingestion throughput. Alongside a new centralized Observability workspace, AWS has natively integrated an MCP server, providing autonomous agents with standardized access to observability telemetry. The platform currently serves 100,000 monthly active customers and processes over 10 trillion monthly requests, including enterprise users like Intuit and Airtable. AWS is positioning OpenSearch as the foundational layer for AI-driven operational intelligence, targeting the exponential growth of machine-generated logs for building autonomous AI agents.