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Keynote

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June 9, 2026 | 10:00 AM ET

New Launches

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Stay tuned — come back during the livestream to discover our latest AI + Observability announcements.

AI in the Making

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June 9, 2026 | 1:00 PM ET

Breakout 1 Agenda

The New Shape of Engineering

01:00 PM - 01:40 PM

AI’s ability to write code made huge strides over the past year. Today, coding agents aren’t just assisting developers; they are winning the "coding race" by orders of magnitude and fundamentally changing the way engineers work.

 

In this fireside chat, Datadog CTO Alexis Lê-Quôc will host Thibault Sottiaux, OpenAI Engineering Lead for Codex. They’ll give you a peek inside Codex and discuss its background, the challenges that the team at OpenAI faced, and the importance of data in powering AI agents. They’ll also examine how coding agents are changing the shape of software engineering and what this means for you and the engineering teams you work with.

 

Session Speakers

Alexis Lê-Quôc

CTO & Co-Founder Datadog

Thibault Sottiaux

Head of Product and Platform OpenAI

Fireside Chat with Datadog Co-Founder and CEO Olivier Pomel and Hugging Face Co-Founder and CEO Clément Delangue

01:50 PM - 02:30 PM

In the same way that open source radically changed how software is developed, openly shared Machine Learning models have fueled the rapid growth of AI. Join Datadog co-founder and CEO Olivier Pomel as he hosts Clément Delangue, co-founder and CEO of Hugging Face, the leading open source platform and hub for sharing models and datasets. They’ll discuss how AI is evolving, how organizations are responding, and what this means for you and your engineering team.

This session will be part of our livestream programming.

 

Session Speakers

Clément Delangue

CEO & Co-Founder Hugging Face

Olivier Pomel

CEO & Co-Founder Datadog

Progressing AI Beyond Scaling and Into Deep Reasoning

02:50 PM - 03:30 PM

The breakthroughs in AI today aren’t just coming from bigger datasets and more compute; Reinforcement Learning (RL) has quietly become one of the most powerful forces in modern AI development. RL is teaching models to reason and self-correct, enabling capabilities that make AGI feel less like science fiction and more like an inevitable future.

 

In this fireside chat, Datadog Chief Scientist Ameet Talwalkar and Sholto Douglas of Anthropic will discuss the rise of RL-based post-training and its role in making the case for imminent AGI. They’ll look at the technical signals currently pointing toward general intelligence and the obstacles that could still derail it. The conversation will also examine the tension between specialized and generalized models, how they’re being used to build products today, and their implications on future intelligence. Join them as they explore what today's choices in AI research and product development mean for the intelligence of tomorrow.

 

This session will be part of our livestream programming

Session Speakers

Sholto Douglas

Member of Technical Staff Anthropic

Ameet Talwalkar

Chief Scientist Datadog

Fireside Chat with Datadog CPO Yanbing Li and Vercel CPO Tom Occhino

03:40 PM - 04:20 PM

The way we build, ship, and run software is being reshaped by AI. In this fireside chat, Yanbing Li (CPO, Datadog) and Tom Occhino (CPO, Vercel) will discuss their perspectives on the impact AI is having across the industry and what it means for teams navigating this shift today.

Session Speakers

Yanbing Li

Chief Product Officer Datadog

Tom Occhino

Chief Product Officer Vercel

Inside Modern Engineering

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June 9, 2026 | 1:00 PM ET

Breakout 2 Agenda

From Alerts to Autonomy: Scaling Incident Management at PUBG with Automation and AI

01:00 PM - 01:40 PM

Modern game platforms operate across regions, cloud providers, and highly dynamic workloads. At Krafton (maker of PUBG: Battlegrounds), fast-moving teams building player-facing and backend systems faced a key challenge: speed without autonomy creates friction, but autonomy without guardrails creates risk.

Junghun Kim, Lead of the DevOps Team at Krafton, will share how his team transformed incident management from a centralized SRE function into a developer-centric platform powered by Datadog. By combining unified observability, high-signal monitors, and integrated workflows across Datadog Incident Management, On-Call, and Slack, teams can now detect, declare, and respond to incidents with greater ownership.

He will explore how automation and AI reduce cognitive load during incidents, from automatically creating context-rich Slack war rooms, to enforcing safeguards such as scale-in prevention, capturing response and change context in the incident timeline, and assisting with postmortem reviews.

Through a representative incident-response walkthrough, attendees will gain a practical blueprint for building an incident response model that increases ownership, reduces alert fatigue, and enables faster detection, safer mitigation, and streamlined postmortems.

This session will be part of our livestream programming.

Session Speakers

Junghun Kim

DevOps Engineer Krafton Inc.

Stop Ingesting Noise or How I Learned to Stop Worrying and Love Observability Pipelines

01:50 PM - 02:30 PM

Ingesting everything isn't a strategy, it's a bill that keeps growing, dashboards nobody trusts, and a compliance posture that's one audit away from a very bad week.

Bryan Pierson from Enterprise Observability Engineering at US Bank will share how his team moved from ingesting everything-just-in-case to running a deliberate, multi-destination observability pipeline that actually reflects what the business cares about. He'll walk through how Datadog Observability Pipelines became the foundation for something more than log forwarding but a platform for filtering noise before it hits ingest, sampling high-volume low-value sources, scrubbing sensitive data at the edge, and routing logs to the right destination for the right reason.

He'll also cover the piece most teams skip: accountability. A custom quota program tied directly to the pipeline gives every application team a log budget based on resiliency tier with automated enforcement that scales from a friendly incident at 80% all the way to disabled log flow at 120%.

The result? Teams that care about what they log. Costs that behave. And an observability practice that stopped worrying and started working.

You will leave with practical routing strategies, a framework for log accountability, and at tangible ideas they can implement before the week is out.

This session will be part of our livestream programming.

Session Speakers

Bryan Pierson

Vice President, Enterprise Observability Engineering U.S. Bank

How Coding Agents are Changing the Traditional Software Development Lifecycle

02:50 PM - 03:30 PM

AI coding assistants are rapidly evolving from passive copilots into active, agentic collaborators capable of planning, executing, and iterating on complex software tasks. This shift has huge ramifications onthe software development lifecycle (SDLC), developer productivity, and even the structure of engineering teams.

In this panel, we chat with AI early adopters who tackled those challenges and ultimately saw opportunities to solve them. Join the founders of Greptile, Warp.dev, and Opencode as they explore how agentic systems are redefining how code is written, reviewed, debugged, and deployed. Drawing from their work at the frontier of developer tooling, they’ll discuss the emergence of autonomous workflows, the changing role of developers as orchestrators rather than implementers, and the infrastructure required to support reliable, secure AI-driven development.

Topics will include:

  • How agentic coding systems are transforming each stage of the SDLC
  • The evolution from IDEs to AI-native development environments
  • Trust, verification, and observability in autonomous code generation
  • The future role of developers in an increasingly automated stack

Expect a forward-looking conversation grounded in real-world product engineering, with candid perspectives on what’s hype, what’s working today, and what still needs to be built.

This session will be part of our livestream programming.

Session Speakers

Clémence Burnichon

Senior Engineering Director Datadog

Daksh Gupta

CEO Greptile

Zach Lloyd

CEO Warp

Sesh Nalla

Vice President, Engineering Datadog

Jay V

CEO OpenCode

Building a Proactive Incident Management Practice at Swish

03:40 PM - 04:20 PM

Swish isn't just an app in Sweden, it's a verb. When "swisha"—meaning “to pay with Swish”—entered the official Swedish dictionary in 2015, it marked the moment Swish became part of everyday language and life. Today, millions rely on it, which means that when something goes wrong, everyone notices.

At that scale, incidents don't stay internal. They unfold in real time, in the hands of users, across the entire country. The pressure isn't just to fix the problem, but to understand it, communicate it, and restore trust, fast.

In this session, Nicole Johnsson (Platform Engineer) and Jonas Cronholm-Lundin (Head of Platform) take you behind the scenes of how Swish transformed their incident management approach from reactive firefighting to a proactive, resilient practice. They’ll share how they introduced stronger engineering foundations like GitOps, SRE, and end-to-end observability to surface better signals during incidents and releases. You'll also see how they designed runbooks around the OODA loop—Observe, Orient, Decide, Act—and combined them with automation to create consistency, while still empowering developers to explore, diagnose, and resolve issues independently.

You'll leave with practical, battle-tested ideas for reducing MTTD, improving incident response, and building a culture that can handle the spotlight—protecting both customer experience and brand trust when it matters most.

This session will be part of our livestream programming.

Session Speakers

Jonas Cronholm-Lundin

Head of Platform Getswish AB

Nicole Johnsson

Platform Engineer Getswish AB

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