Datadog — Volume 342, Issue 3

Datadog

Volume 342, Issue 3 · 11 articles from 2 issues

In This Issue

Enforce Custom Rules in Datadog IaC Security Scanning (datadog, Friday, September 18th, 2026)

Datadog adds custom rule authoring to its infrastructure-as-code security scanning. Read more

Transform and Route Security Logs to Microsoft Sentinel Tables Using Observability Pipelines (datadog, Wednesday, September 16th, 2026)

Datadog Observability Pipelines Packs map security logs to Microsoft Sentinel schemas and control ingest volume. Read more

How We Built Data-Driven AI Golden Paths at Datadog (Datadog, Wednesday, September 9th, 2026)

An internal guild achieved 13 percent faster agent runs by building golden paths with controls, experiments and dashboards. Read more

Coordinate Product Launches With Datadog (Datadog, Tuesday, September 8th, 2026)

Turning a product brief and a feature flag into a connected workflow for instrumentation, QA and reporting. Read more

From Alert to Resolution: Manage Incidents with Bits Chat in Slack (datadog, Wednesday, September 16th, 2026)

Datadog's Bits Chat brings incident investigation, collaboration and code fixes into Slack. Read more

Monitor TAS and Gang Scheduling for AI Training in Kubernetes (datadog, Tuesday, September 15th, 2026)

Datadog correlates Kueue, coscheduling, GPU and framework signals to validate Kubernetes AI training scheduling. Read more

Manage Cursor Costs with Datadog Cloud Cost Management (datadog, Tuesday, September 15th, 2026)

Datadog Cloud Cost Management now breaks down Cursor AI coding spend by user and model. Read more

How We Built Datadog Experiments (Datadog, Thursday, September 10th, 2026)

CUPED on percentiles, verifiable warehouse results and near real-time RUM metrics shorten result-to-decision time. Read more

Analyze Your Experiments in ChatGPT With the Datadog Experiments Plugin (Datadog, Friday, September 11th, 2026)

An OpenAI Data plugin lets teams read, question and act on experiment results directly inside ChatGPT. Read more

How to Operate Shared Platforms Safely at Agent Scale (datadog, Tuesday, September 15th, 2026)

Datadog explains modeling agent demand and allocating capacity as AI agent workloads scale on shared platforms. Read more

Understanding NetFlow Duplication: Why It Happens, and How to Deduplicate (Datadog, Friday, September 11th, 2026)

A technical explanation of why NetFlow records duplicate across devices and how to deduplicate them correctly. Read more

More from Datadog · All section posts · This week