Datadog | The Monitor blog

This Month in Datadog - October 2025

This Datadog article highlights the challenge of justifying AI investments and ensuring responsible scaling. It explains how Datadog helps organizations connect AI costs (compute, …

Turn fragmented runtime signals into coherent attack stories with Datadog Workload Protection

This article introduces Workload Protection Findings, a new feature in Google Cloud designed to proactively identify and address runtime security risks within your applications. It…

Understand user experience through network performance with Datadog Synthetic Monitoring

This article discusses a new approach to debugging and observability by unifying frontend and backend data through retention filters. These filters allow developers to selectively …

Accelerate your Azure integration setup with guided onboarding

This article details how to use remote instrumentation to gain deeper insights into the performance and behavior of AWS Lambda functions without modifying application code. By leve…

MCP security risks: How to build SIEM detection rules

The article details how easily malicious actors can exploit misconfigured AI infrastructure – specifically Large Language Models (LLMs) – due to leaked API keys and insufficient re…

Automating your synthetic test infrastructure with Datadog Synthetic Monitoring and Terraform

This Datadog article highlights how Synthetic Monitoring proactively identifies issues impacting the *entire* user journey, not just website availability. By simulating user behavi…

Store and search logs at petabyte scale in your own infrastructure with Datadog CloudPrem

This article advocates for enriching log data with context from the ServiceNow Configuration Management Database (CMDB) *before* sending it to Security Information and Event Manage…

Monitor Falco with Datadog

Here's a concise summary of the article "Automate Cloud SIEM investigations with Bits AI Security Analyst": Bits AI Security Analyst automates the typically manual and time-consum…

Datadog named Leader in 2025 Gartner® Magic Quadrant™ for Digital Experience Monitoring

This article stresses the importance of linking technical errors in early-stage products directly to how they affect users, rather than just tracking error counts. By quantifying u…

Using LLMs to filter out false positives from static code analysis

Please provide the article! I need the text of the article "Evaluating our AI Guard application to improve quality and control cost" to be able to summarize it for you. Once you …

Get organized, actionable insights from complex test environments with Datadog Test Suites

This Datadog article highlights how Synthetic Monitoring can proactively identify issues *before* users encounter them by simulating user behavior across the entire application jou…

How to bridge speed and quality in experiments through unified data

Please provide the article! I need the text of the article to be able to summarize it for you. Just paste the article content here, and I'll give you a 2-3 sentence summary.