Recent Articles by Datadog | The Monitor blog

Visualize how CUPED adjusts experiment results with Datadog

Datadog Experiments has introduced a new visualization tool that breaks down the difference between ...

From traces to experiments: A loop for improving AI agents

To effectively optimize AI agentic systems, teams should use aggregate trace data to identify specif...

Making Rust observability reliable at scale with OpenTelemetry

To resolve fragmented and inconsistent observability in their Rust services, Datadog developed `dd-t...

Troubleshoot and secure your code faster with Datadog’s Bitbucket Cloud Source Code integration

The Datadog Bitbucket Cloud Source Code integration connects Bitbucket repositories to Datadog produ...

Respond to security threats faster with Tines and Observability Pipelines

The integration of Tines and Datadog Observability Pipelines enables security teams to automate the ...

How Bits Database Optimization proves a query rewrite is faster

Datadog’s Bits Database Optimization feature provides a controlled, disposable environment to benc...

Reduce sensitive data exposure with build-time allowlists

Datadog’s build-time allowlisting feature enables engineering teams to balance data privacy with o...

What we learned about AI agent security by monitoring our agents

To effectively secure AI agents, organizations must move beyond monitoring final API calls and inste...

Debug live production code without redeploying with Datadog Live Debugger

Datadog’s Live Debugger allows developers to investigate production bugs in real-time without the ...

Beyond the $1 AI era: How federal agencies can build the evidence for FY27 renewals

As low-cost OneGov AI promotions approach expiration in 2026, federal agencies must evaluate their p...