Datadog | The Monitor blog

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…

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…

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…

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…

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…

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…

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…

Search and act across Datadog to resolve issues faster with Bits Chat

Bits Chat is a new natural language conversational interface for Datadog that allows engineers to search, visualize, and take action across telemetry sources via the web, mobile, a…

Why AI code optimization needs production-grounded benchmarks

Datadog developed DODO, an LLM-driven optimizer designed to prevent coding agents from optimizing for inaccurate synthetic benchmarks by grounding them in real production telemetry…

Monitor Claude Enterprise activity with Datadog Cloud SIEM

The Datadog Claude Compliance API integration enables security and compliance teams to monitor Claude Enterprise activity by ingesting and normalizing events such as sign-ins, admi…

Give your AI agents live Datadog access from the command line

Pup CLI is a single-binary tool that provides AI agents and automation pipelines with secure, OAuth-scoped access to over 33 Datadog product domains. It optimizes agent workflows t…

When failover isn’t safe: Building high-availability PostgreSQL on Kubernetes

During a simulated "gameday" failure, Datadog discovered that network latency caused PostgreSQL replication lag to exceed safety thresholds, preventing the system from safely promo…