Datadog opens DASH 2026, spotlighting AI in production
Datadog has opened registration for DASH 2026, its annual customer conference on observability, security and the operational demands of AI-driven systems.
The two-day event runs June 9-10, 2026, at the North Javits Centre in New York City. Datadog bills DASH as its main forum for sharing product direction across its observability and security portfolio, with a growing emphasis on AI workloads moving into production.
DASH brings together software builders, engineers, security leaders and technology decision-makers. The agenda focuses on how organisations maintain visibility and reliability across complex environments as AI becomes embedded in applications and infrastructure.
The event will include a Datadog keynote featuring what it calls platform announcements and roadmap insights, along with customer-led sessions, hands-on workshops, product deep dives and a partner exhibition.
AI in production
A central theme for DASH 2026 is the shift of large language model and AI-enabled workloads from experimentation to mission-critical deployment. As a result, interest is rising in tools that track performance, availability and user impact across distributed systems, alongside governance and security controls.
In the programme description, Datadog highlights AI observability and security as a focus area. Sessions are expected to cover how teams assess AI system behaviour across infrastructure and applications, and how they address operational issues introduced by AI workloads.
Datadog will also use the conference to discuss its approach to end-to-end visibility for AI systems, including security and governance topics linked to deploying AI-powered applications.
Yanbing Li, Datadog's chief product officer, said the conference aims to connect observability, security and AI in live environments.
"DASH is where customers and the broader industry come together to see how observability, security, and AI come together in real production environments,"Li said.
Li said the 2026 sessions will focus on operational confidence and risk management as systems grow more complex.
As AI becomes deeply embedded into modern systems, teams need end-to-end visibility they can trust. This year's sessions focus on how teams are using the Datadog platform to operate confidently at scale, reduce risk, and drive meaningful business outcomes as systems and AI workloads become more complex, Li said.
Customer sessions
Customer-led sessions and case studies will make up a significant part of the programme. Speakers are expected from enterprises and AI native companies across financial services, retail and digital commerce, media, transportation and logistics, and cybersecurity.
These sessions will cover how organisations use Datadog in day-to-day operations, with an emphasis on reliability, performance and security. They will also highlight teams putting AI into production, including changes to engineering workflows and approaches to securing cloud and hybrid environments.
The event will also include hands-on technical workshops covering observability, security and AI use cases. Datadog plans in-person demos and deep technical sessions focused on practical use of its products.
A Partner Expo will provide space to engage with partners across the cloud and broader technology ecosystem. The programme also includes product deep dives with in-depth sessions on the Datadog platform.
Roadmap focus
DASH has become a recurring stage for Datadog to present its technical vision and product roadmap. Datadog describes it as its primary platform moment of the year, reflecting the expansion of its product set and customer base.
Datadog markets itself as an observability and security platform for cloud applications, offering infrastructure monitoring, application performance monitoring, log management, user experience monitoring and cloud security. It also positions the platform as a way to unify operational and security data across the technology stack.
The call for session proposals is open, and the agenda is expected to evolve as speakers and topics are confirmed closer to the event.