Datadog | The Monitor blog

Analyze cloud costs with flexible spreadsheets in Datadog Sheets

Datadog Sheets integrates with Cloud Cost Management (CCM) to allow FinOps teams to perform advanced analysis, such as currency conversion and budget forecasting, directly within t…

Inside Datadog’s AI Research Lab: Meet two PhD candidates behind Toto

Datadog’s AI Research Lab in Paris utilizes the CIFRE program to bridge the gap between academic research and industrial application, allowing PhD students to apply advanced models…

Connect triage and investigation in a single workflow with Datadog Cloud SIEM

Datadog Cloud SIEM streamlines security operations by unifying detection, investigation, and response within a single, connected workflow. The platform enables analysts to escalate…

This Month in Datadog - April 2026

The latest Datadog update highlights several AI-driven advancements, including the new MCP Server for providing AI agents with real-time access to observability data and the Bits A…

Monitor and optimize Supabase query performance with Datadog Database Monitoring

Datadog’s Database Monitoring (DBM) for Supabase offers an agentless, one-click solution that provides developers with deep, query-level visibility and actionable optimization reco…

Add dynamically updating context to logs with Reference Tables and Observability Pipelines

Datadog Observability Pipelines utilizes Reference Tables to centrally enrich logs with real-time metadata from external sources like Snowflake, ServiceNow, and cloud storage befor…

Introducing ARFBench: A time series question-answering benchmark based on real incidents

The authors introduce ARFBench, a new benchmark designed to evaluate AI models' ability to perform time series question-answering (TSQA) using real-world Datadog incident data. Whi…

The product signal latency gap slowing your growth

Product managers can accelerate growth by acting on high-velocity "pulse" and "pain" signals, such as system latency and user friction, rather than waiting weeks for slow "proof" m…

Test network paths with TCP, UDP, and ICMP in Datadog

To effectively differentiate between application and network-layer issues, developers should design network tests using protocols—such as TCP, UDP, or ICMP—that match their applica…

Evaluate, optimize, and secure your Google Cloud AI stack with Datadog

Datadog, a two-time Google Cloud Partner of the Year, provides a unified observability platform designed to manage the complexities of the entire AI stack on Google Cloud. The plat…

Turn developer feedback into operational insight with Datadog Forms and Sheets

Engineering organizations can use Datadog Forms and Sheets to centralize developer feedback that is often scattered across disconnected systems. By integrating structured collectio…

How to investigate cloud credential compromise with Bits AI Security Analyst

Bits AI Security Analyst automates the time-intensive manual tasks of cloud security investigations, such as detecting behavioral anomalies, analyzing API call patterns, and correl…