Operations | Monitoring | ITSM | DevOps | Cloud

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.

The Datadog Cursor Extension uses the Datadog remote MCP Server to give developers access to Datadog tools and observability data directly from within the Cursor IDE. The Cursor Extension enables you to view live variable values that your logpoints capture during execution, and you can use the Cursor Agent to identify the lines of code responsible for the issue at hand. The Datadog Cursor Extension is now available in Preview.

Datadog Internal Developer Portal (IDP) helps developers quickly track down shared engineering knowledge, execute common production tasks in self-service manner, and evaluate the production-readiness of new service code.