Releasesby GlyphTrace voice agents with Datadog Agent Observability
Datadog Agent Observability now supports replaying voice interactions and investigating latency, cost, interruptions, and transcripts for OpenAI Realtime sessions.
Also shipped Oct 29, 2026Datadog in October 2026 →
Monte Carlo's Terraform provider is now on the OpenTofu registry
Monte Carlo has published its Terraform provider and agent modules to the OpenTofu registry, enabling users to manage Monte Carlo infrastructure as code using OpenTofu.
REST API v2 (Public preview): onboard Monte Carlo from your AI tool, Terraform or a script
Monte Carlo's REST API v2 is now in public preview, enabling automated onboarding and deployment of collection agents via scripts, Terraform, or AI tools.
Gemini-powered Explore summaries in Looker are generally available
The ability to generate summaries of Looker Explores using Gemini assistance is now generally available.
Dashboard relationships are now generally available
Dashboard relationships, which enable multi-fact data models in AI/BI dashboards, are now generally available.
Looker bullet chart visualization is generally available
The bullet chart visualization type is now generally available in Looker, allowing users to evaluate metric performance against targets and thresholds.
Xero connector is available in Beta
The managed Xero connector is now available in beta for Databricks Lakeflow Connect, supporting incremental ingestion of accounting data.
More from DatadogEvery Datadog release →
Detect when your AI agent copies a self-replicating prompt injection
Datadog AI Guard can now flag self-replicating prompt injections where an AI agent copies hidden instructions into files or email replies.
Match monitoring depth to workload needs with Infrastructure Basic
Datadog introduced the Infrastructure Basic tier, a lightweight monitoring option designed for lower-priority workloads to track host health and resource usage.
Optimize AI costs with Agent Observability
Datadog introduced Agent Observability to help engineers identify applications driving AI spend, prioritize savings, and validate cost changes against performance.
Introducing Scout 1.0: A new SRE model powering Bits AI with frontier performance at a fraction of the cost
Datadog launched Scout 1.0, an AI model specialized for investigating production issues. Powering Bits AI, Scout 1.0 provides improved price-performance compared to general-purpose frontier models on target SRE scenarios.
Unify data across Datadog BYOC with cross-cluster queries for teams and AI agents
Datadog released cross-cluster queries for Datadog BYOC Logs, enabling AI agents and engineering teams to search logs across regions and business units without centralizing log storage.
Define user actions on your web app with visual labeling in Product Analytics
Datadog launched visual labeling in Product Analytics. Product teams can label autocaptured web actions without modifying application code and reuse those action definitions across behavioral analysis workflows.
Run incident response in your FedRAMP High environment
Datadog Incident Response is now available in FedRAMP High environments, allowing federal agencies to handle paging, incident coordination, and automated response workflows for sensitive workloads.
Block malicious packages across your organization with Supply Chain Firewall and Datadog Code Security
Datadog Code Security now supports Supply Chain Firewall, providing centralized management of package allowlists and blocklists. It also includes retroactive scanning of installed packages to block malicious dependencies.