Datadog | The Monitor blog

Start your day with the IDP Homepage

The Datadog IDP Homepage provides a centralized starting point for developers by consolidating development tasks from tools like GitHub and Jira with real-time operational signals …

Improve AI agent quality with Bits Evals

Bits Evals is a new set of features designed to automate repetitive tasks in the AI agent development lifecycle, such as error analysis, dataset creation, and evaluator generation.…

Trace Azure-managed services in .NET applications with Datadog

Datadog has expanded its distributed tracing for .NET applications on Microsoft Azure to include managed services such as Service Bus, Event Hubs, Cosmos DB, and APIM. This update …

Automate synthetic test coverage with Bits Testing

Bits Testing is a new tool in preview that automates synthetic test generation and maintenance by using URLs or natural language descriptions to identify critical user journeys. It…

Troubleshoot frontend performance with Datadog’s Browser Profiler

Datadog’s Browser Profiler helps frontend engineers identify the specific JavaScript code causing performance regressions by linking method stack frames from real user sessions dir…

Monitor agent adoption with Datadog Agent Console

Datadog’s new Agent Console provides engineering leaders with unified visibility into the adoption, spend, and productivity impact of various AI coding agents across their organiza…

Get a unified view of system health with the Datadog Synthetic Monitoring landing page

Datadog’s new Synthetic Monitoring landing page, currently in Preview, consolidates fragmented alerts, test results, and dashboards into a single, actionable view of system health.…

Bring live Datadog telemetry into your AI agents with native integrations

Datadog has launched new integrations for major AI agents, including Claude, ChatGPT, and Cursor, powered by the Datadog MCP Server. These integrations allow developers to query ob…

Triage synthetic test failures faster with Bits Investigation

Datadog has introduced AI-assisted triage features for Synthetic Monitoring, specifically AI failure summaries and Bits Investigation, to streamline the incident response process. …

Detect and resolve endpoint issues across your fleet with Datadog

Datadog's new Command Center for End User Device Monitoring (EUDM) provides IT teams with a centralized dashboard to identify and manage endpoint health issues across devices, netw…

Understand production LLM behavior with Patterns in Agent Observability

Datadog’s "Patterns" feature automatically clusters LLM production traffic into interpretable, hierarchical topics to reveal unanticipated user behaviors and workflows. By linking …

Trace network paths from devices to SaaS applications

Datadog is combining its End User Device Monitoring with Network Path to allow IT teams to trace the entire network journey from a user's device to a SaaS application. This integra…