Datadog — Volume 343, Issue 4

Datadog

Volume 343, Issue 4 · 10 articles from 2 issues

In This Issue

Optimize AI Costs with Agent Observability (Datadog, Thursday, October 22nd, 2026)

Datadog Agent Observability ties estimated AI spend to the applications and traces that generate it. Read more

Trace Voice Agents with Datadog Agent Observability (Datadog, Thursday, October 29th, 2026)

Datadog Agent Observability can now capture audio in traces for voice agents built on the OpenAI Realtime API, and adds Amazon Nova 2 Sonic tracing. Read more

Beyond Container Image Signing: How We Enforce Software Supply Chain Policies at Datadog (Datadog, Tuesday, October 20th, 2026)

Datadog describes Turnstile, its internal system that enforces software supply chain policies at deployment time. Read more

Default to Serverless for AI Agents, Then Let Production Data Decide What Moves (Datadog, Thursday, October 29th, 2026)

Datadog recommends evaluating serverless first for AI agent workloads and using production data to decide which steps need warm or dedicated compute. Read more

Datadog Builds a Specialist AI Model for SRE Investigations (InfoQ, Thursday, October 29th, 2026)

Datadog released Scout, a specialist model for SRE alert investigations, in closed preview within its Bits Investigation product. Read more

Match Monitoring Depth to Workload Needs with Infrastructure Basic (Datadog, Wednesday, October 28th, 2026)

Datadog Infrastructure Basic offers lightweight host monitoring for lower-priority workloads without full application instrumentation. Read more

Monitor Oracle AI Database Across Clouds With Datadog (Datadog, Monday, October 26th, 2026)

Datadog adds monitoring for Oracle AI Database on AWS, Azure and Google Cloud, covering performance, migration validation and cost attribution. Read more

Best Practices for Scaling A/B Testing With Experiment Protocols (Datadog, Monday, October 26th, 2026)

Datadog explains how experiment protocols turn an approved A/B testing methodology into reusable configurations for scaling experiments. Read more

How We Use Insights to Improve the Agent Behind Insights (Datadog, Friday, October 30th, 2026)

Datadog describes using Insights in Agent Observability to find cost and reliability problems in its own AI agent. Read more

Detect When Your AI Agent Copies a Self-Replicating Prompt Injection (Datadog, Thursday, October 29th, 2026)

Datadog tests AI Guard against two self-replicating prompt injection attacks adapted from an OpenAI report and finds it flags both. Read more