Datadog | The Monitor blog

Deploy Datadog Kubernetes Autoscaling at scale

Datadog Kubernetes Autoscaling helps platform teams reduce idle costs by centrally managing workload rightsizing through in-app setup, GitOps cluster profiles, and AI-assisted onbo…

Monitor Azure Managed Redis with Datadog

Datadog’s agentless integration for Azure Managed Redis provides comprehensive visibility into critical metrics like cache efficiency, latency, and resource utilization through aut…

Instrument LangGraph agents with Datadog: a practical guide

Datadog's AI Agent Monitoring addresses the "black box" nature of AI agents by providing end-to-end visibility into workflows, tool executions, and performance metrics like latency…

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…

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…

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…

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…

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…

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, …

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…

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…

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…