Datadog | The Monitor blog

Using TypeSafe’s Jev for evals in Datadog Agent Observability

TypeSafe AI has released Jev, a tool designed to provide fast and cost-effective decision-making for evaluation pipelines by returning structured, probabilistic answers instead of …

Configure RUM SDKs remotely from Datadog

Datadog’s new RUM Remote Configuration allows developers to adjust SDK settings, such as sampling rates and Session Replay, directly from the Datadog UI without needing to redeploy…

Find answers in your logs faster with Datadog’s Tap to Parse

Datadog's AI-assisted "Tap to Parse" feature automatically converts unstructured log messages into searchable, structured data, eliminating the need to manually write complex parsi…

Teaching a 9B model to investigate production alerts

Datadog has developed a "training-data flywheel" to make large-scale agentic incident investigations economically viable by fine-tuning a smaller, specialized model (Qwen3.5-9B) us…

When users don’t click thumbs up: Inferring agent feedback from Datadog telemetry

To address the lack of explicit user feedback for AI agents, Datadog researchers developed a "session classification skill" that uses weak labeling to approximate user satisfaction…

Cut AI agent cost and improve accuracy with Code Execution in the Datadog MCP Server

Datadog's new "Code Execution" feature enables AI agents to perform complex, multi-signal observability investigations using a sandboxed JavaScript environment. By allowing agents …

Understand the top paths users take to convert or drop off with Journey Paths

Datadog’s Journey Paths feature enhances traditional funnel analysis by visualizing the specific sequences of actions users take, revealing the actual behavior behind conversion an…

Enforce custom rules in Datadog IaC Security scanning

Datadog’s custom rules for IaC Security allow organizations to enforce specific internal standards, such as required tags or approved instance types, using Rego-based policies. The…

Transform and route security logs to Microsoft Sentinel tables using Observability Pipelines

Datadog Observability Pipelines’ Microsoft Sentinel Packs provide preconfigured mappings that convert various vendor-specific logs into standardized Sentinel schemas before they ar…

From alert to resolution: Manage incidents with Bits Chat in Slack

Datadog's Bits Chat integrates AI-driven incident response capabilities directly into Slack, allowing responders to investigate alerts, troubleshoot with telemetry data, and genera…

Manage Cursor costs with Datadog Cloud Cost Management

Datadog’s Cloud Cost Management (CCM) now integrates Cursor costs, providing engineering and FinOps teams with granular visibility into AI coding spend by user, model, and usage mo…

How to operate shared platforms safely at agent scale

To operate autonomous agents at scale, platform teams must move beyond basic design and prepare for new operational risks by modeling the entire "agent trajectory" to identify dive…