This year’s DASH keynote showcased Datadog’s Bits AI support for both developer and operations workflows, where agents investigate, validate, and remediate full-stack issues alongside you and your team. The keynote introduced dozens of new capabilities spanning autonomous detection and remediation, AI-driven release validation and testing, unified journey monitoring, and a new generation of Bits AI agents that retain your team’s operational knowledge and act within the guardrails you define.
Whether you’re closing monitoring gaps automatically, shipping AI-generated code safely, optimizing slow database queries, or giving non-experts a way to investigate complex systems in plain language, Datadog enables teams to build better with AI. Review all the major keynote announcements in this post, and read our other roundup posts to see how Datadog helps you harness AI, achieve end-to-end observability, operate at scale, and secure and govern your environment.
End-to-end observabilityHarnessing AIOperating at scaleSecurity & compliance
Autonomously monitor for impactful degradations with Bits Detection
New services ship faster than monitoring configuration can keep pace, leaving endpoints without alerts, thresholds calibrated against old traffic patterns, and routing that goes stale as teams reorganize. Bits Detection, now available in Preview, uses the context Datadog already has about your services, endpoints, dependencies, and deployment history to create and maintain detection coverage automatically. It focuses coverage on the endpoints most likely to affect users, establishes baselines from historical behavior rather than static thresholds, adapts as services change, and connects detection to autonomous investigation and remediation when issues arise. To get started, sign up for the Preview or read the blog post.
