AWS re:Invent 2026

Get more context. Gain more control.

Whether you're building AI agents, resolving incidents across your tech stack, or investigating threats, Elasticsearch turns your data into the relevant context you need to act fast. Visit Elastic at AWS re:Invent, booth #1721, for demos, lightning talks, and conversations with the engineers building Elasticsearch — the search database for AI.

Ready to meet with an Elastic expert? Preschedule a one-on-one meeting now.

Lock in a time

Learn

Learn from the people who built it

60 minutes, no pitch — just the architecture. Walk away with the reference designs and code behind what Elastic and AWS engineers are actually building.

  • Elasticsearch — The search database for context engineering and AI

    Speakers: Anish Mathur, Principal Product Manager

    Your agentic apps have an accuracy and cost problem — and it's not your model choice. Learn how Elasticsearch was rearchitected as the search database for enterprise data trapped in docs, logs, metrics, tickets, and transcripts. We'll cover Columnar and VectorDB mode with no ETL, plus retrieval combining vector search, Jina embeddings, and native inference. Get best practices for making agents production-ready.

  • Keep sleeping at 3:00 a.m.: Elastic watches your Prometheus metrics so you don't have to

    Speaker: Jesse Miller, Principal Product Manager

    When your Kubernetes cluster fires at 3:00 a.m., who's investigating? See Elastic nightshift, an always-on AI SRE, work a real Kubernetes incident end to end — from alert to root cause to remediation — with reasoning made transparent at every step. Elastic nightshift AI SRE draws on native Prometheus/PromQL metrics, Kubernetes logs, EKS dashboards, and ES|QL subqueries correlating metrics, logs, and traces. The columnar engine delivers queries up to 30x faster than Prometheus, Mimir, and ClickHouse, while full telemetry retention gives the Elastic nightshift agent the context to investigate like your best SRE.

Engage

Elastic at AWS re:Invent

See how Elasticsearch puts structured and unstructured data to work across search, observability, and security on AWS.

  • Lightning talks

    Catch our 10-minute talks at our booth for practical insights and real-world examples you can apply to your own projects.

  • Speaking sessions

    Go deeper with Elastic experts on context engineering for AI and new ways to investigate using all your observability data.

  • Win with Elastic

    Stop by booth #1721 and scan your badge for a chance to take home a prize. Enjoy daily snacks while you're there!

Solve

Elasticsearch: The search database for AI

Powering Elastic Observability, Elastic Security, and whatever you build next

  • Any shape of data, structured or unstructured, at any scale, gets stored economically and retrieved with exactly the relevant context applications need, using hybrid and vector search with ES|QL Data Federation. It's backed by an active open source developer community and built to move AI agents from demo to production.

    Build with AI

  • Observability

    Metrics, logs, and traces come together to help you understand your systems, discover what’s important, and take action. An AI SRE uses that complete picture to catch what others miss and resolve issues automatically, cutting the cost of running observability in half.

    Observe everything

  • Security

    Elastic Security is the agentic security operations platform that unifies SIEM, XDR, AI-powered investigation, and automated response to help security teams detect and stop threats at machine speed. Built on a unified, open architecture, it gives analysts rich data context, flexible AI, and native automation while keeping human judgment at the center of critical decisions.

    Automate security

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