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Datadog Announces DASH 2026: the AI and Observability Event of the Year

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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.

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Positive

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Negative

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Key Figures

Conference dates: June 9–10, 2026 Conference year: 2026 Annual conference count: ninth annual +5 more
8 metrics
Conference dates June 9–10, 2026 DASH 2026 event schedule in New York City
Conference year 2026 DASH 2026 flagship AI and observability conference
Annual conference count ninth annual DASH described as the company’s ninth annual global conference
Current price $122.56 Price before DASH 2026 news on 2026-02-18
Daily move -2.11% 24h price change ahead of DASH 2026 announcement
52-week high $201.69 DDOG trading 39.23% below this level pre-announcement
52-week low $81.63 DDOG trading 50.14% above this level pre-announcement
Market cap $43,903,977,775 Equity value before DASH 2026 news

Market Reality Check

Price: $122.56 Vol: Volume 4,959,108 is 34% b...
low vol
$122.56 Last Close
Volume Volume 4,959,108 is 34% below 20-day average of 7,468,156 (relative volume 0.66). low
Technical Price $122.56 is trading below 200-day MA of $138.58 and 39.23% under 52-week high.

Peers on Argus

DDOG is down 2.11% with peers PAYX, TEAM, WDAY, ROP and ADSK also negative betwe...

DDOG is down 2.11% with peers PAYX, TEAM, WDAY, ROP and ADSK also negative between about 1–4%, indicating broader software weakness rather than DDOG-specific pressure.

Common Catalyst One peer (ROP) also had an AI-related headline, but broader peer moves appear driven by general sector softness, not a shared event with DASH 2026.

Previous AI Reports

5 past events · Latest: Dec 03 (Positive)
Same Type Pattern 5 events
Date Event Sentiment 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.
Pattern Detected

AI-related announcements have historically seen small negative price reactions despite positive product and capability updates.

Recent Company History

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.

Historical Comparison

-0.9% avg move · Across 5 prior AI-tagged updates, DDOG moved an average of -0.91%. Those were product-heavy; DASH 20...
AI
-0.9%
Average Historical Move AI

Across 5 prior AI-tagged updates, DDOG moved an average of -0.91%. Those were product-heavy; DASH 2026 emphasizes AI observability and security via a flagship conference.

AI updates progressed from LLM observability and AI security to Bits AI agents and an AWS collaboration. DASH 2026 extends this by framing AI observability and security as a central conference theme with customer case studies.

Market Pulse Summary

This announcement positions DASH 2026, held on June 9–10, 2026 in New York, as Datadog’s flagship pl...
Analysis

This announcement positions DASH 2026, held on June 9–10, 2026 in New York, as Datadog’s flagship platform event for AI observability and security. It extends a series of AI-focused launches and collaborations highlighted in recent filings and press releases. Investors may track how prominently new AI products, customer case studies, and roadmap updates feature at DASH, and compare this with historical AI announcements, which have averaged a -0.91% price move over five prior events.

Key Terms

observability, ai observability, hybrid environments
3 terms
observability technical
"spotlighting AI observability and security at scale through real-world customer use cases"
Observability is a company’s ability to see and understand what its software systems are doing by collecting and analyzing signals like logs, metrics and traces. For investors it matters because strong observability reduces the risk of downtime, hidden bugs or security issues, supports faster fixes and efficient scaling, and therefore can protect revenue, lower costs and signal disciplined operations — like having clear gauges and alarms on a complex machine.
ai observability technical
"A key focus of DASH will be Datadog’s approach to AI observability and security"
A set of tools and practices that let organizations monitor and understand how their AI systems behave in real time — tracking things like model accuracy, unexpected outputs, data changes, errors, and resource use. For investors, observability is like a health dashboard for AI: it reduces the chance of hidden failures, regulatory problems, or costly mistakes, and signals whether management is effectively managing operational and reputational risk tied to AI deployments.
hybrid environments technical
"securing modern cloud and hybrid environments, with hands-on workshops"
Hybrid environments are operational setups that combine two different modes of working or technology—commonly mixing in-person and remote work, or blending on-site systems with cloud-based computing. For investors, they matter because they change a company’s cost structure, productivity, and exposure to security or regulatory risks; like a hybrid car that uses gas and electricity to balance efficiency and range, businesses adopt hybrid approaches to gain flexibility while managing trade-offs.

AI-generated analysis. 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


FAQ

When and where is Datadog DASH 2026 (DDOG) scheduled to occur?

DASH 2026 is scheduled for June 9–10, 2026 at the North Javits Center in New York City. According to the company, registration is open and the program includes keynotes, workshops, and customer sessions focused on AI observability and security.

What are the main themes of Datadog DASH 2026 (DDOG)?

The main themes are AI observability, security, and reliability at scale for AI and LLM workloads. According to the company, sessions will cover end-to-end visibility, governance, operational challenges, and practical demos from customers and partners.

Who should attend DASH 2026 and what will attendees learn from Datadog (DDOG)?

Builders, engineers, security leaders, and tech decision-makers should attend to learn practical observability and security tactics. According to the company, attendees will gain hands-on skills, customer case studies, product deep dives, and roadmap insights for operating AI in production.

How can speakers submit a session for Datadog DASH 2026 (DDOG)?

The call for proposals is open and session topics can be submitted via the event website. According to the company, prospective speakers should propose customer-led, technical, or workshop-focused sessions aligned to observability, security, and AI themes.

Where can investors and attendees register or find updates for Datadog DASH 2026 (DDOG)?

Register and find event details on the DASH event website and follow X @dashdatadog for updates. According to the company, registration is live and the site includes agenda, speakers, and partner expo information.
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