Datadog | The Monitor blog

How we migrated a live routing system using AI-assisted refactoring

To overcome scaling limits caused by an inadequate key-value storage model, Datadog redesigned its Stream Router architecture using a relational schema to better manage complex dat…

Using Evaluation Frameworks with Agent Observability

Datadog Agent Observability enables AI teams to operationalize LLM evaluations by natively supporting existing open-source frameworks, such as DeepEval and Pydantic Evals, within i…

Store and search high-volume logs with ClickHouse and Datadog

Datadog and ClickHouse have introduced a new integration that allows users to route high-volume logs to ClickHouse via Observability Pipelines for cost-efficient storage and proces…

Autonomously monitor for impactful degradations with Bits Detection

Bits Detection is an automated Datadog feature designed to combat "coverage drift" by continuously creating, tuning, and maintaining monitors as software services evolve. By levera…

Securing the AI era: Outpace AI-powered attacks with unified security and observability

Datadog has introduced new security features, such as the Runtime Prioritization Engine and AI Guard, to combat the increasing speed and complexity of AI-driven cyberattacks. By in…

Infinite Cardinality Metrics: Custom metrics built for modern systems

Datadog has launched "Infinite Cardinality Metrics," a new feature designed to allow engineers to capture highly dimensional data without the unpredictable costs typically associat…

Get reliable answers to business questions with Bits Data Analysis

Datadog’s new Bits Data Analysis tool provides reliable, context-aware answers to business questions by integrating data warehouse metadata with application telemetry. The platform…

Automatically optimize database queries with Datadog Database Monitoring

Datadog’s Bits Database Optimization automates the entire query optimization lifecycle by identifying slow queries and generating validated rewrites or index recommendations. The t…

Monitor critical user journeys with Datadog Journey Monitoring

Datadog Journey Monitoring provides a centralized hub that integrates user behavior metrics with technical performance data from RUM, Synthetics, and Product Analytics. This unifie…

Turn Datadog findings into automated code fixes with Bits Code

Bits Code by Datadog automates the software remediation process by transforming observability findings directly into reviewable pull requests in GitHub. By leveraging real-time pro…

Investigate Kubernetes resources with Datadog MCP tools

Datadog has introduced a new Kubernetes toolset for MCP-compatible AI agents that provides read-only access to resource context across multiple clusters without requiring direct cl…

DASH 2026 Security & Compliance: Guide to Datadog’s newest announcements

At the DASH conference, Datadog announced a new suite of AI-driven security features designed to automate threat investigation, remediation, and hunting across the entire security …