Introduction to APM
An introduction to Application Performance Monitoring
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Foundation Enablement: Datadog Bits AI
About This Session
In this session, we will learn how Bits AI 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 how Bits AI SRE Agent can investigate alerts and coordinates incident response.
- Understand how Bits AI Dev Agent uses observability data to detect, diagnose, and fix high-impact issues in your code and how it can open production-ready pull requests and iterates on fixes based on developer feedback.
- Learn how to chat in Datadog using Bits AI, that supports natural language querying for logs, APM traces, infrastructure data, cloud cost, and RUM and also how you can ask Bits AI about the health and ownership of your services, and retrieve Datadog resources related to those services.
- Describe how the Datadog MCP server acts as a bridge between your observability data in Datadog and any AI agents that support the Model Context Protocol (MCP).
language
english
Availability
1 available
length
60 minutes