Elastic Demo Gallery
Little examples designed to let you explore various facets of the Elastic Stack, from Kibana dashboards and Canvas workpads to Elasticsearch SQL snippets and machine learning jobs. Because trying is better than seeing.
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Observability
Observability Overview
Try out this hands-on demo to learn how to bring your logs, metrics, and traces together for complete visibility into your application environment.

Security
Elastic Security: Agentic Security Operations Platform
Step through Elastic’s agentic SOC live. Watch autonomous agents correlate and investigate a real alert end-to-end, then stage a response through Elastic Workflows—with deterministic playbooks and agentic reasoning working side by side. You stay in control at every gate, approving agent actions and seeing exactly how judgment and verification remain with the analyst while the busywork runs itself.

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Elasticsearch Vector Database - Getting Started
Use Elastic Serverless to create an Elasticsearch Vector Database project. No infrastructure to manage. We add data, generate embeddings, and get started fast with code samples you can run in the Elastic Cloud console.

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Elasticsearch Vector Database - Python & PDF in S3, Claude Code (with AWS resource creation steps)
Walk through all the steps required to create a Vector Database, how to create an Amazon S3 bucket as a place to privately store original document source files, and how to use Python code to index a PDF document from the S3 bucket into a Vector Database index. Then we'll create an Elastic workflow and MCP tool that can be queried by Claude Code to give it custom context.

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Elasticsearch Vector Database - Python & PDF in S3, Claude Code
Walk through the steps required to create a Vector Database and how to use Python code to index a PDF document from an Amazon S3 bucket into a Vector Database index. Then we'll create an Elastic workflow and MCP tool that can be queried by Claude Code to give it custom context.
Security
Accelerate data onboarding with Elastic AI Import
Elastic’s Automatic Import feature saves analysts from the lengthy process of building custom data parsers, allowing them to instead focus on threat hunting and improve their organization’s security posture. In this demo, see how Elastic AI Import feature can process both supported or unsupported log sources, normalizing and enriching them for analysts.

Security
Elastic Security MCP Integration
A critical alert just hit the Elastic Security console: mass file encryption on a file server. Instead of using the web UI to find the root cause, you choose to work through your AI tool using the Elastic Security MCP integration.

Security
Migrate to Elastic Security
Onboard without the rip-and-replace. Watch Automatic Import build a custom integration on the fly—just upload sample logs and bring in any source—then let Automatic Migration map and convert your existing detection rules from Splunk, QRadar, and Microsoft Sentinel in minutes. Everything lands in one open schema, unified and analysis-ready the moment it arrives.