Datadog | The Monitor blog

How to detect HTTP/2 abuse in Apache web server logs

This article explains how to detect HTTP/2-based vulnerabilities in Apache HTTP Server, such as CVE-2026-23918, which can lead to server crashes or remote code execution. Because t…

Investigate funnel drop-offs with Product Analytics

Datadog Product Analytics has introduced upgraded funnel features, including a Conversion Analysis panel that automatically identifies the behavioral drivers behind user conversion…

Introducing this year’s new Datadog Ambassadors and the new Datadog Champions program

Datadog has announced its 2026 Ambassadors cohort, highlighting a diverse, global group of technical experts and community leaders. Additionally, the company is launching a new "Da…

Measure the real impact of AI coding tools on software delivery with Datadog AI Impact

Datadog AI Impact enables engineering teams to measure the real-world impact of AI coding tools by correlating usage data with DORA metrics like delivery velocity and production st…

How to measure developer experience (DevEx) in the AI era

As AI coding assistants increase code volume without necessarily improving quality, traditional output metrics are no longer sufficient to measure true productivity. Instead, organ…

Improve API authentication detection with Datadog

Datadog App & API Protection has introduced enhanced authentication detection features that use verifiable evidence to accurately identify whether API endpoints are authenticated, …

Securing AI agents: Why guardrail placement is a key design decision

This article argues that the effectiveness of AI agent security depends heavily on where guardrails are strategically placed within the orchestration loop. By demonstrating an indi…

Project and manage cloud spend with Datadog budget forecasting

Datadog Cloud Cost Management (CCM) has introduced a new budget forecasting feature designed to help teams manage the rapid and unpredictable spend associated with cloud and AI ser…

Reduce CVE noise with OpenVEX assessments in Datadog

Datadog is addressing the challenge of "vulnerability noise" in security scans by providing exploitability assessments for its software artifacts via the OpenVEX specification. By …

How to audit and clean up monitors effectively

To prevent alert fatigue and critical blind spots, teams should transition from reactive monitoring to a structured audit focused on both coverage and alert quality. This process i…

How we made a SQL query optimization agent 59% more accurate using autoresearch and LLM Observability

The Datadog DBM team used Karpathy’s autoresearch tool to autonomously optimize an AI agent designed for SQL query optimization. By conducting 23 overnight experiments to refine pr…

Explore Datadog metrics with Natural Language Queries

Datadog’s new Natural Language Queries (NLQ) feature enables users to generate complex metric queries and visualizations using plain English instead of manual, syntax-heavy constru…