Datadog, Friday, October 30th, 2026
How We Use Insights to Improve the Agent Behind Insights
Datadog describes using Insights in Agent Observability to find cost and reliability problems in its own AI agent.
more →
Back Issues/Search Home → Archive → RSS → Subscribe → Services → Vendors → Popular →
All sections ›
Archive ›
Vol 343 · Issue 4
Datadog — Archive · Vol 343 Issue 4
8 articles that week
Datadog, Thursday, October 29th, 2026
Trace Voice Agents with Datadog Agent Observability
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.
more → Datadog, Thursday, October 29th, 2026
Detect When Your AI Agent Copies a Self-Replicating Prompt Injection
Datadog tests AI Guard against two self-replicating prompt injection attacks adapted from an OpenAI report and finds it flags both.
more → Datadog, Thursday, October 29th, 2026
Default to Serverless for AI Agents, Then Let Production Data Decide What Moves
Datadog recommends evaluating serverless first for AI agent workloads and using production data to decide which steps need warm or dedicated compute.
more → InfoQ, Thursday, October 29th, 2026
Datadog Builds a Specialist AI Model for SRE Investigations
Datadog released Scout, a specialist model for SRE alert investigations, in closed preview within its Bits Investigation product.
more →
Datadog, Wednesday, October 28th, 2026
Match Monitoring Depth to Workload Needs with Infrastructure Basic
Datadog Infrastructure Basic offers lightweight host monitoring for lower-priority workloads without full application instrumentation.
more → Datadog, Monday, October 26th, 2026
Monitor Oracle AI Database Across Clouds With Datadog
Datadog adds monitoring for Oracle AI Database on AWS, Azure and Google Cloud, covering performance, migration validation and cost attribution.
more → Datadog, Monday, October 26th, 2026
Best Practices for Scaling A/B Testing With Experiment Protocols
Datadog explains how experiment protocols turn an approved A/B testing methodology into reusable configurations for scaling experiments.
more →