AI agents are most powerful when grounded in real organizational data. In this demo, discover how to use Elastic Agent Builder to create an incident-investigation agent powered by Elastic Observability data (logs, metrics, and traces) to quickly diagnose application performance regressions. You will also see how to expose the custom agent via the Agent-to-Agent (A2A) protocol and integrate it directly into Gemini Enterprise as a centralized platform.
*What you’ll learn in this video:*
* Building specialized agents: How to use the GUI-based Elastic Agent Builder to define custom tools and runbook skills for automated troubleshooting.
* Observability grounding: How the agent analyzes live logs, metrics, and traces to identify root causes (e.g., latency regressions in a frontend proxy) with full inspectability.
* Agent-to-Agent (A2A) integration: How to export the agent card via an endpoint and register it within Gemini Enterprise.
* Centralized Invocation: Querying and running Elastic-grounded workflows directly from the Gemini Enterprise web interface.
Resources:
Elastic Cloud on Google Cloud Marketplace → https://g.dev/cloud/marketplace
Google Gemini Overview → https://g.dev/ai/learn-more-gemini
Elastic Official Website → https://g.dev/ai/dynatrace-observability
#Elastic #Gemini #GoogleCloud #DevOps #Observability #AIOps #CloudMonitoring #SRE
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Speaker: JP Hwang
Products Mentioned: Elastic Observability, Elastic Agent Builder, Elastic Cloud, Google Cloud Gemini Enterprise, Google Cloud Run, Google Cloud Marketplace
