Technical Enablement Session Hero Background

About This Session

In this session, we will learn how Datadog's AI features can autonomously investigate alerts, suggest code fixes, review security signals, and take action on external systems, empowering your SREs, developers, and security teams to operate at scale, zero-in on the highest priority issues, and resolve incidents faster.

Learning Objectives

  • Explain when to use Bits AI Agents vs the Datadog AI Assistant and external AI tools via the Datadog MCP Server
  • Investigate issues end-to-end using Bits AI SRE, from monitor trigger through root cause and conclusion
  • Transition from root cause analysis to remediation using the Bits AI Dev Agent and integrated workflows (Github, Jira)
  • Apply Datadog's AI capabilities across Security, Incident Management, and Day-2 operations to reduce noise and speed resolution

language

english

Availability

1 available

length

60 minutes

Prerequisite

Datadog Overview

An overview of how the Datadog unified platform makes your applications and infrastructure entirely observable.

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Taking things to the next level

Incident Management

An introduction to creating and tracking incidents within Datadog

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Monitoring an AI Application with Datadog

Learn how to use LLM Observability, APM, Database Monitoring, metrics and logs along side Dashboards and Monitors to observe an AI Application.

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