Foundation Enablement: Monitoring an AI Application with Datadog | Datadog

About This Session

In an end-to-end observability example, learn how to use LLM Observability, APM, Database Monitoring, metrics and logs to build Dashboards and create Monitors to alert you on the health and performance of an AI Application.

Learning Objectives

  • Understand the importance of monitoring and debugging LLM-based applications for performance and reliability.
  • Learn how logs, traces, and metrics provide real-time insights into performance, failures and latency across infrastructure, database, and application layers.
  • Investigate errors and delays with API calls to your LLM provider along with insights into the quality and security of prompts and the responses received.
  • Utilize and customize dashboards and create monitors to alert on the application’s performance and errors.

language

English

Availability

length

Sign Up

Please select a session below to register.*

Sessions are offered globally and are displayed in your local time zone.

Request This Session

Please select your preferred region for this session.*

Prerequisite

Database Monitoring

An introduction to how Database Monitoring provides insight...

register

Dashboarding

An introduction to building scalable dashboards

register

Introduction to APM

An introduction to Application Performance Monitoring

register

Taking things to the next level

Become a Datadog Power User

A deep dive into how to become a Datadog Power User with the...

register