Datadog | The Monitor blog

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…

Diagnose slow PostgreSQL queries faster with explain plan correlation

Datadog Database Monitoring has introduced explain plan correlation for PostgreSQL, a feature that directly links `EXPLAIN` plan nodes to their corresponding SQL clauses. This tool…

Attribute AI costs across providers with Datadog Cloud Cost Management

Datadog Cloud Cost Management (CCM) has introduced a new AI Costs feature to provide unified visibility and attribution for AI spending across multiple providers like OpenAI and An…

Toto 2.0: Time series forecasting enters the scaling era

The developers have released Toto 2, a family of open-weights time series foundation models ranging from 4m to 2.5B parameters that demonstrates significant performance gains throu…

Simplify micro-frontend observability with Datadog RUM

Datadog RUM’s build plugin addresses the observability challenges of micro-frontend architectures by automatically attributing telemetry data, such as errors and performance metric…