Ce que Datadog a publié en février 2026

This Month in Datadog - February 2026

Watch February’s This Month in Datadog to learn about Data Observability, AI Guard, Feature Flags, five new Incident Management releases, and more.

Enable end-to-end visibility into your Java apps with a single command

Learn how to capture RUM and APM telemetry data without making any code changes.

Amazon EC2 security: How misconfigured and public AMIs expand your cloud attack surface

The article highlights the risks associated with improper sourcing and lifecycle management of Amazon EC2 AMIs (Amazon Machine Images) and their impact on cloud security. It emphasizes that poorly man…

Measure and improve mobile app startup performance with Datadog RUM

Learn how you can monitor mobile app launch performance on iOS and Android by using startup metrics and launch-type context in Datadog RUM.

Evaluating our AI Guard application to improve quality and control cost

Learn how Datadog used LLM Observability internally to build and test AI Guard, so that teams can protect their Bits AI Agents by detecting and blocking unsafe model behavior.

Identify untested code across every level of your codebase

Learn how Datadog Code Coverage helps you easily detect untested code and track test coverage over time.

Monitor Versa Networks SD-WAN performance in Datadog

Monitor Versa SD-WAN health, link/tunnel SLA performance, interface utilization, and application traffic in Datadog.

Make use of guardrail metrics and stop babysitting your releases

Learn how guardrail metrics automate rollouts with built-in safety checks, and how Datadog Feature Flags connects releases to your observability data.

Improve performance and reliability with APM Recommendations

APM Recommendations helps you identify, prioritize, and act on performance and reliability issues by using telemetry data from across the Datadog platform.

Remediate transitive vulnerabilities faster with Datadog Software Composition Analysis

Trace transitive vulnerabilities to root dependencies and apply safe upgrades with guided remediation.

Generate audit-ready vulnerability and compliance reports with Datadog Sheets

Learn how Datadog Sheets helps security teams generate audit-ready vulnerability and compliance reports from a single, unified view.

Monitor Fortinet FortiManager performance in Datadog

Monitor edge device health, link quality, SLA compliance and application performance with Datadog's Fortinet FortiManager SD-WAN integration.

Move fast, don’t break things: Consistent testing standards at scale

Datadog Code Coverage surfaces coverage insights in CI and PRs, helping teams apply consistent testing standards and review overall and diff coverage.

Improve test coverage across codebases with Datadog Code Coverage

See how Datadog Code Coverage unifies test coverage across repositories, helps enforce testing standards, and generates tests for untested code paths.

Enrich logs with ServiceNow CMDB context before routing to any SIEM or logging tool

Datadog Observability Pipelines uses Reference Tables to enrich logs with ServiceNow CMDB data to help you prioritize events and investigate incidents.

Monitor Lustre with Datadog

Learn how Datadog’s Lustre integration correlates file system, job, and infrastructure metrics to troubleshoot HPC bottlenecks and optimize I/O performance.

Make faster, better product decisions with Datadog Product Analytics

Learn how you can easily define user actions, analyze journeys without SQL, and save and share charts for faster decisions.

Surface and remediate runtime posture issues with Workload Protection Findings

Datadog Workload Protection Findings provides a dedicated view for risky runtime behavior, helping teams improve security posture and respond effectively to urgent threats.

Trace Google Pub/Sub workloads in Cloud Run with Datadog

Get producer-aware distributed tracing for Google Pub/Sub, including Cloud Run push subscriptions, batch fan-out visibility, and async acknowledgments.

Protect agentic AI applications with Datadog AI Guard

Learn how Datadog AI Guard evaluates prompts, responses, and tool calls in real time to help you defend agentic AI applications against emerging threats.

How to optimize JavaScript code with CSS

Learn how to optimize inefficient JavaScript code with CSS to improve rendering performance, accessibility, Core Web Vitals, and frontend user experience.

Detect human names in logs with ML in Sensitive Data Scanner

Learn how you can discover human names in your logs at scale and support compliance efforts without having to write and maintain regex patterns.

The 2026 State of DevSecOps report by Datadog reveals a persistent and escalating tension between development velocity and security risk in modern software supply chains. The most critical finding is …