Datadog | The Monitor blog

Monitor TAS and gang scheduling for AI training in Kubernetes

Standard Kubernetes scheduling fails to meet the complex requirements of distributed AI training, which demands both topology-aware placement for low-latency GPU communication and …

Datadog named the Company to Beat for observability platforms in 2026 Gartner® AI Vendor Race report

Datadog has been recognized by Gartner as a Leader in Observability Platforms and named the "Company to Beat" in the 2026 AI Vendor Race. To support the rise of AI-native applicati…

Understanding NetFlow duplication: Why it happens, and how to deduplicate

NetFlow duplication occurs when multiple network devices report the same traffic flow, resulting in inflated data that undermines accurate capacity planning and performance metrics…

Analyze your experiments in ChatGPT with the Datadog Experiments plugin

Datadog has launched a new plugin for ChatGPT Work that allows teams to query experiment results using plain language directly within their existing conversational workflows. By in…

Troubleshoot Kafka issues across every layer of your stack with Kafka Console

Datadog Kafka Console provides a centralized platform for engineers to monitor, troubleshoot, and optimize Kafka environments by collecting direct health, configuration, and messag…

How we built Datadog Experiments

Datadog has rebuilt the acquired Eppo platform into Datadog Experiments, an upgraded tool that integrates A/B testing with observability data to accelerate decision-making. The pla…

How we built data-driven AI Golden Paths at Datadog

To manage the complexities of AI adoption, organizations can implement "AI Golden Paths," which are standardized workflows designed to improve developer reliability and control cos…

Coordinate product launches with Datadog

Datadog Product Analytics’ new "Launches" feature provides a unified workflow that integrates launch planning, instrumentation, and experimentation to ensure successful product rol…

Stop runtime threats with Workload Protection response actions

Datadog Workload Protection now enables rapid threat remediation through both automated Agent rules and manual intervention directly within the detection workflow. By utilizing ker…

Build and run Datadog workflows from Bits Chat or AI agents

Datadog’s new Workflow Automation enables users to build, run, and debug automated workflows directly within Bits Chat and AI coding agents like Claude Code. By leveraging the Data…

Monitor prompt caching to optimize your token usage

As LLM system prompts increasingly dominate input token volume, organizations face rising costs and latency bottlenecks due to repetitive context engineering. This article explains…

Visualize how CUPED adjusts experiment results with Datadog

Datadog Experiments has introduced a new visualization tool that breaks down the difference between raw and CUPED-adjusted lift into a sequential waterfall chart. By tracing each i…