Operations | Monitoring | ITSM | DevOps | Cloud

With Datadog's AI Agents Console, you can monitor the behavior and interactions of any AI agent that’s a part of your enterprise stack, whether that’s a computer use agent like OpenAI’s Operator, IDE agent like Cursor, DevOps agent like Github Copilot, enterprise business agent like Agentforce, or your internally built agents. You'll have full visibility into every agent's actions, insights into the security and performance of your agents, analytics on user engagement, and measurable business value from every agent, all in a centralized location.

Datadog’s Latency Investigator for APM—now in Preview—automatically investigates hypotheses in the background, comparing historical traces and correlating change tracking, DBM, and profiling signals. This helps teams quickly isolate root causes and understand impact without combing through raw telemetry data. You can go from detection to resolution in a single workflow, and generate a pull request to apply a recommended fix, all without leaving Datadog..

Datadog Data Observability provides a complete solution with quality checks (e.g., volume, row changes, freshness), custom SQL-based monitors, anomaly detection, column-level lineage across systems like Snowflake and Tableau, full pipeline visibility, and targeted alerts when data issues arise.

Monitor apps using Vercel AI SDK with SigNoz and OpenTelemetry. This video talks about how to configure your AI apps to send data to SigNoz using OpenTelemetry.

Datadog Sheets provides a spreadsheet-style interface for analyzing your telemetry data — you can perform lookups, build pivot tables, and create calculated columns using familiar spreadsheet functionality. This enables teams to join datasets, aggregate results, and explore trends without writing code.