Operations | Monitoring | ITSM | DevOps | Cloud

Datadog is constantly elevating the approach to cloud monitoring and security. This Month in Datadog updates you on our newest product features, announcements, resources, and events. To learn more about Datadog and start a free 14-day trial, visit Cloud Monitoring as a Service | Datadog. This month, we chat with two guests about Bits AI SRE and Datadog Data Observability.

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.

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.

The Bits Dev Agent is an AI-powered coding assistant in Datadog designed to reclaim developer productivity by autonomously monitoring telemetry data, identifying key issues, and generating production-ready pull requests. Developers receive asynchronous, context-rich PRs with clear explanations, allowing them to shift their focus from troubleshooting to reviewing solutions and building better code.

Bits AI SRE is your AI on-call teammate, built to autonomously investigate alerts and coordinate incident response. Integrated with Datadog, Slack, GitHub, Confluence, and more, Bits analyzes telemetry, reads documentation, and reviews recent deployments to determine the root cause of alerts—often before you’ve even opened your laptop. In fact, if you're using Datadog On-Call, you can view Bits’s findings right from your phone—so you’re always one step ahead, no matter where you are.

With Datadog's new AI voice agent in Incident Response, you can quickly get up to speed on the issue and start taking action directly from your phone. Handoff notifications make it easy to jump straight to the relevant context and quickly communicate with other responders. Finally, our status pages enable you to automatically update users on your remediation progress.

When your monitoring tools and logs tell you everything's fine, but users can't access critical healthcare services, where do you look? Our team discovered that Real User Monitoring (RUM) isn't just for tracking page load times and user journeys – it's a powerful incident response tool that can uncover issues traditional monitoring misses entirely.

Some sources simply do not generate data-rich logs. Retail endpoints that are older or run on proprietary services, for example, very often produce logs without the kinds of data that are needed to perform useful business analytics. So, what can you do?