Datadog Announces DASH 2026: the AI and Observability Event of the Year
Rhea-AI Summary
Datadog (NASDAQ: DDOG) announced DASH 2026, its ninth annual global conference on June 9–10, 2026 at the North Javits Center in New York City. DASH will spotlight AI observability and security with customer-led sessions, hands-on workshops, product deep dives, and a partner expo.
The event emphasizes real-world AI and LLM production use cases, roadmap announcements, and practical technical training for builders, engineers, and security leaders.
Positive
- None.
Negative
- None.
News Market Reaction – DDOG
In the Feb 18 session, DDOG declined 0.64%, reflecting a mild negative market reaction. Our momentum scanner triggered 16 alerts that day, indicating notable trading interest and price volatility.
Data tracked by StockTitan Argus on the day of publication.
Key Figures
Previous AI Reports
| Date | Event | Sentiment | 24h Move | Catalyst |
|---|---|---|---|---|
| Dec 03 | AI collaboration update | Positive | -0.4% | Expanded AWS collaboration and new AI observability and security capabilities. |
| Dec 02 | AI agent launch | Positive | -0.9% | Launch of Bits AI SRE agent to automate incident investigation. |
| Jun 10 | LLM observability tools | Positive | -1.1% | New monitoring tools for agentic AI, LLM experiments and agents console. |
| Jun 10 | AI security expansion | Positive | -1.1% | Expanded AI security capabilities including code and LLM risk protections. |
| Jun 10 | New AI agents | Positive | -1.1% | Introduction of multiple Bits AI agents to resolve application issues. |
24h Move is the share-price change in the day after each event; other market factors may also have contributed.
AI-related announcements have historically seen small negative price reactions despite positive product and capability updates.
Recent AI-focused news for Datadog has centered on expanding observability, AI agents, and security. On Dec 2–3, 2025, Datadog announced a Strategic Collaboration Agreement with AWS and launched Bits AI SRE, with 24h moves of -0.42% and -0.9%. On Jun 10, 2025, multiple AI observability, security, and agent enhancements were unveiled, each linked to -1.07% reactions. Today’s DASH 2026 announcement continues the AI observability and security narrative via a flagship conference platform.
Key Terms
observability technical
ai observability technical
llm-powered applications technical
hybrid environments technical
AI-generated analysis. How Rhea-AI works. Not financial advice.
The flagship conference returns to New York City on June 9 and 10, spotlighting AI observability and security at scale through real-world customer use cases
NEW YORK, Feb. 18, 2026 (GLOBE NEWSWIRE) -- Datadog, Inc., (NASDAQ: DDOG), the AI-powered observability and security platform for cloud applications, today announced that registration is open for DASH, the company’s ninth annual global conference. DASH brings together builders, engineers, security leaders, and technology decision-makers to explore how observability and security are evolving in an era of increasingly complex, AI-driven systems. The event will take place June 9–10, 2026, at the North Javits Center in New York City.
As Datadog’s flagship annual customer conference, DASH has continued to expand alongside the company’s platform and global customer base. DASH is Datadog’s primary platform moment of the year, where the company showcases its technical vision and roadmap direction across observability, security, and AI, alongside practical, customer-led sessions from teams operating at global scale. As AI and LLM-powered workloads move from experimentation to mission-critical deployment, DASH 2026 will focus on how organizations can maintain visibility, reliability, and security across their entire technology stack.
DASH 2026 will feature customer-led sessions from leaders at enterprises and AI native companies in financial services, retail and digital commerce, media, transportation and logistics, and cybersecurity. They will offer first-hand accounts of how organizations use Datadog to improve reliability and performance, strengthen security, and support critical business outcomes. Sessions will highlight how real teams are putting AI into production today, from improving engineering workflows to securing modern cloud and hybrid environments, with hands-on workshops, in-person demos, and deep technical sessions focused on practical application.
“DASH is where customers and the broader industry come together to see how observability, security, and AI come together in real production environments,” said Yanbing Li, Chief Product Officer at Datadog. “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.”
A key focus of DASH will be Datadog’s approach to AI observability and security, addressing the unique challenges organizations face as they deploy AI- and LLM-powered applications. Sessions will explore how teams can gain visibility into AI systems end to end, across infrastructure, applications, and user impact, while also addressing security, governance, and operational challenges introduced by AI workloads.
Attendees of DASH will find:
- Datadog Keynote: Platform announcements and roadmap insights across observability, security, and AI
- Customer-Led Sessions and Case Studies: Real-world examples from teams operating at scale
- Hands-On Technical Workshops: Practical learning across observability, security, and AI use cases
- Product Deep Dives: In-depth sessions on Datadog platform capabilities
- Datadog Partner Expo: Engagement with partners across the cloud and technology ecosystem
To learn more and to register for DASH, please visit: https://dash.datadoghq.com/. The call for proposals is now open, submit a session topic here: https://dash.datadoghq.com/call-for-proposals/. Follow the latest event announcements on X: @dashdatadog.
About Datadog
Datadog is the leading AI-powered observability and security platform for cloud applications. Our SaaS platform integrates and automates infrastructure monitoring, application performance monitoring, log management, user experience monitoring, cloud security and many other capabilities to provide unified, real-time observability and security for our customers’ entire technology stack. Datadog is used by organizations of all sizes and across a wide range of industries to enable digital transformation and cloud migration, drive collaboration among development, operations, security and business teams, accelerate time to market for applications, reduce time to problem resolution, secure applications and infrastructure, understand user behavior and track key business metrics.
Forward-Looking Statements
This press release may include certain “forward-looking statements” within the meaning of Section 27A of the Securities Act of 1933, as amended, or the Securities Act, and Section 21E of the Securities Exchange Act of 1934, as amended including statements on the benefits of new products and features. These forward-looking statements reflect our current views about our plans, intentions, expectations, strategies and prospects, which are based on the information currently available to us and on assumptions we have made. Actual results may differ materially from those described in the forward-looking statements and are subject to a variety of assumptions, uncertainties, risks and factors that are beyond our control, including those risks detailed under the caption “Risk Factors” and elsewhere in our Securities and Exchange Commission filings and reports, including the Quarterly Report on Form 10-Q filed with the Securities and Exchange Commission on November 7, 2025, as well as future filings and reports by us. Except as required by law, we undertake no duty or obligation to update any forward-looking statements contained in this release as a result of new information, future events, changes in expectations or otherwise.
Contact:
press@datadoghq.com
