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Yanbing Li reposted thisYanbing Li reposted thisTakashi Okamoto, Tohn Furutani, and the team at NTT DATA are helping enterprises move agentic AI from experimentation to production with confidence. By combining Amazon Bedrock AgentCore with Datadog Agent Observability, they reduced inference costs by 50%, cut MTTR by 70%, and built a repeatable framework for evaluating, governing, and operating AI agents at enterprise scale. Read how NTT DATA is building operational trust for agentic AI with Datadog: https://bit.ly/4fsevs1
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Yanbing Li shared thisWe are excited to welcome Adaptive ML as Datadog grows the investment in AI frontier research.Yanbing Li shared thisBack in 2023, we founded Adaptive ML with Alessandro Cappelli Axel Marmet Baptiste Pannier Daniel Hesslow Olivier Cruchant around one conviction: every organization should be able to improve its own models, not merely rent intelligence from a third-party. That conviction became Adaptive Engine, bringing continuous, RL-driven optimization to enterprises in production. This past year, we processed tens of trillions of tokens across deployments inside some of the world's largest organizations. Today, we are excited to announce we are joining Datadog. Together with Datadog’s AI Lab, we'll build frontier AI infrastructure for cloud observability and security, enabling models to learn from the real-world signals only a platform of this scale can provide. Excited for this next chapter 🚀
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Yanbing Li shared thisIf you missed DASH, don't miss this super energizing summary from Jeremy Garcia!Yanbing Li shared thisSnappy Supercut of our Dash conference and keynote announcements by Jeremy Garcia - quite proud of the way it turned out!
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Yanbing Li shared thisDASH has always been about our users. What's particularly exciting this year is the addition of a dedicated Builder Track, reflecting how Datadog is evolving from observing systems in production to empowering teams across the entire software development lifecycle to build and operate at the speed of AI.Yanbing Li shared thisFirst DASH. First Builder Track. Standing room only. 🔥 Before each session, I snapped a quick photo of our speakers before they walked on stage, and it's a pretty incredible group of people. Over two days, founders, engineers, researchers, and product leaders shared what they're learning as AI reshapes the way software gets built. What's working, what's not, and what they're seeing from the front lines. A huge thank you to every speaker who took the stage and shared their experience with the community. The keynote was standing room only and sessions were packed. That's what I'll remember most from DASH: the appetite developers have right now to learn from each other and figure out what comes next. Already excited for the conversations we'll be having a year from now. A big shoutout to the Marketing, Engineering, Product, Community and all Datadog teams that made this a success. Personal shoutout to Maxi Rodriguez and Jeremy Garcia who brought our new Builder track to life for the first (and definitely not last) time. Datadog Developer
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Yanbing Li shared thisDASH 2026 is a wrap. What a week—product launches, keynotes, fireside chats, customer conversations, and countless opportunities to learn from our community. Most of all, it was a chance to see Datadog's product engine in action, with 170 new capabilities launched this week alone. A few highlights: • Bits AI for Autonomous Operations — accelerating detection, investigation, and remediation across the operations lifecycle. • Bits AI for Development — with Bits Code, Testing, and Release, teams can not only write code at AI speed, but ship code at AI speed. • Core platform innovations — including Federated Logs, BYOC, Bits Database Optimization, Journey Monitoring, and Infinite Cardinality Metrics. • End-to-end AI observability — observe and secure every layer of the AI stack, from GPU Monitoring and Data Observability with full lineage, to Agent Observability and Agent Console across the entire agent lifecycle. • AI Security — including AI Guard, Bits Security Analyst, Bits Threat Hunting, and more. Together, these innovations help organizations deploy AI into production with confidence—observing, securing, and operating AI systems at scale. Thank you to our customers, partners, and the entire Datadog team for making DASH 2026 such an incredible week. https://lnkd.in/eNZQtfmt https://lnkd.in/eMDA6Ffh Datadog Datadog Developer
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Yanbing Li reposted thisYanbing Li reposted thisDASH 2026: Datadog announces 170 new capabilities Datadog co-founders Olivier Pomel (CEO) and Alexis Lê-Quôc (CTO) kicked off the company’s annual DASH event this morning in New York City. They began by providing a brief overview of the company, highlighting more than 33K customers and an impressive ecosystem of world-class, AI-centric partners and strategic alliances. Alexis continued to emcee the keynote, starting with AI for Datadog and bringing on various product managers who highlighted new major upgrades to its family of Bits AI agents that continuously monitor infrastructure, surface recommended fixes, and resolve issues within guardrails teams define. Fueled by roughly 30% of its revenue in R&D, the scope of what was announced at DASH included a whopping 170 new capabilities, displayed as a stunning galaxy of stars as you can see below. This isn’t a roadmap, folks. We’re talking actual GA’d launches! Chief Product Officer Yanbing Li also addressed the audience, explaining how Datadog is using production-grade AI to help customers accelerate their software development and operations loop. She shared some important lessons framed around three core questions every developer should be asking themselves: 1. Before you take an AI system into production, does it work not just in a demo, not just in a benchmark, but consistently, reliably in production for real users? 2. Is it safe and secure? Can you trust it? Can you govern it? 3. Does it have the right economics? Can you scale it in a cost-effective fashion? “It is time to move beyond token maxing into value maxing. To answer these questions with confidence, it requires full visibility into your entire AI stack, and the time to take action is now,” claimed Li. Li wrapped up the morning's keynote, providing an overview of Datadog’s new product positioning. “We're shifting left to take that automation also into your software development loop with this code testing release, so you're shipping code at AI speed,” said Li. “We're also investing in our core platform with new capabilities like federated search, bring your own cloud, and network monitoring, database optimizations, and journey monitoring. AI for Datadog and Datadog for AI. Two flywheels. One platform. And lots of new capabilities.” Datadog isn't just selling observability anymore. The company is delivering on a new brand promise of enabling customers to reach autonomy across development, operations, and security. They're hitting the right note IMO: it's not about the technology, rather what Datadog's AI technology can enable for its valued customers and partners. Would have enjoyed walking the showfloor today with you Matthew Newcombe and Hillary Perkins Marks. Have a great show...looks like DASH 2026 is off to an amazing start. Datadog #aifordatadog #dash2026 #observability #AIops #Devops #cloudnative
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Yanbing Li reposted thisYanbing Li reposted thisFull house at the TECH WEEK by a16z AI Rooftop event with Datadog and Vercel. Currently watching a great panel with Diamond Bishop Sesh Nalla Andrey Marchenko moderated by Madison McIlwain. The energy and conversations have been fantastic. Thanks for stopping by!
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Yanbing Li reposted thisYanbing Li reposted thisWe’ve never done this before - for the first time ever, DASH 2026 has a Builder Ticket. $49 - A ticket built for builders. With sessions tailored for engineers, founders, and teams building real systems. You’ll hear from builders and researchers across: OpenAI - Head of Codex, Thibault Sottiaux Anthropic - Researcher, Sholto Douglas Hugging Face - CEOM, Clem Delangue 🤗 Vercel - CPO, Tom Occhino Warp - CEO, Zach Lloyd Greptile - CEO, Daksh Gupta OpenCode - CEO, Jay V Supabase - Head of Multigres, Sugu Sougoumarane …and more If you care about building, debugging, scaling, or getting AI systems into production, this is for you. Register on LUMA to receive you link to buy a ticket: https://lnkd.in/exp-eEXm Datadog #datadog #datadogdash #dash2026 Elizabeth George Maxi Rodriguez Hugo Kaczmarek Yanbing Li
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Yanbing Li liked thisYanbing Li liked thisThe next episode of This Month in Datadog is about to drop 👀 Datadog’s Omar Nema gives us a sneak peek at what's coming — including a closer look at how Automated Dashboard Investigation helps you make sense of your metrics.
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Yanbing Li liked thisYanbing Li liked thisCuriosity has been one of the most important constants throughout my career, especially during periods of rapid technological change. That idea came up early in my conversation with Grace Gong on Venture with Grace and set the tone for a broader discussion about how we build, lead, and make technology decisions in the AI era. A few principles I always come back to: • Start with the customer problem. AI gives us new ways to build, experiment, and move faster. That speed matters when we’re solving something meaningful. Whether we build, buy, or partner, understanding what customers actually need has to come first. • Context makes AI more useful. We’re thinking about how AI can work with the knowledge people and organizations have already built up over time, while respecting the permissions and controls around that information. Giving AI access to the right context can make its output more relevant and useful to customers. • Experimentation is essential. AI is accelerating how quickly we can prototype, test, and learn. The fundamentals of building great products still apply. Understand the problem, try something, learn from it, and keep improving. As AI becomes more deeply integrated into how people work, trust, governance, and the right controls will be important to scaling it effectively. • Curiosity and communication matter even more during periods of change. Curiosity helps us keep learning and adapting. Communication helps us explain ideas clearly, understand our audience, and bring people along. These are skills I’ve valued throughout my career and ones I continue to work on. Thank you, Grace, for the thoughtful questions and the genuine curiosity and passion you bring to your work. You can watch or listen to our full conversation on Spotify, Apple Podcasts, YouTube, or LinkedIn. https://lnkd.in/gcqfGBp6Ali Dasdan, Dropbox CTO on Scaling AI Infra & Engineering LeadershipAli Dasdan, Dropbox CTO on Scaling AI Infra & Engineering Leadership
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Yanbing Li liked thisYanbing Li liked thisIt was an honor to help represent Aurora at this weekend's Freedom250 Grand Prix with our partners at Arrow McLaren IndyCar. Thank you Zak Brown for your team's hospitality, spirit, and grit. Let freedom rev!
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Yanbing Li liked thisYanbing Li liked thisYesterday was one of those days that stays in your memory always. ❤️ We hosted a very special Women’s Event at Datadog Brazil, an initiative I prepare with all my heart because I deeply believe in the importance of creating spaces where women feel safe, seen, heard, and supported. We talked about something simple, yet incredibly powerful: the freedom to be ourselves. To use our voices. To be vulnerable. To make mistakes, learn, grow, and try again. To know that we do not need to become someone else in order to belong. I am still learning so much about this topic. Every conversation, every story, and every woman teaches me something new about belonging, courage, leadership, and the responsibility we have to create space for one another. Over the years, I have been incredibly fortunate to help build and nurture our team in Brazil. Today, we are the region with the highest female representation across Datadog globally, and women represent more than 50% of our leadership team. This is something that fills my heart with so much pride, but also with immense gratitude and humility. Nothing meaningful is ever built alone. This achievement belongs to every woman who trusted this journey, raised her voice, supported another woman, embraced an opportunity, and helped us create this community together. It also belongs to every leader and colleague who believed in the importance of building a more diverse and inclusive team. Yesterday was much more than an event. It was a moment of connection, trust, vulnerability, and belonging. A reminder that when women feel safe enough to be themselves, they become even stronger and when women support other women, we all rise together. Thank you Alaydes Morais you are THE BEST!!! Thank you from all my heart, and thank you Catia Gonçalves Menegaz to share all of your knowledge and kindness❤️🙏🏻 I am deeply grateful for the opportunity to contribute to this journey and incredibly proud of what you continue to build together at Datadog Brazil. May we continue creating a workplace where every woman can say: “I belong here. I am valued here. And I am free to be myself here.” ❤️ #Datadog #WomenAtDatadog #WomenInLeadership #WomenInTech #Belonging #Inclusion #WomenSupportingWomen
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Yanbing Li reacted on thisYanbing Li reacted on thisThe speaker lineup for #DatadogSummit San Francisco is live! On September 23rd, hear from: 🌉 Jared Zoneraich (Builder in Residence, Cognition — makers of Devin) on instrumenting production AI agents at scale: inference failures, provider fallback, latency, and cost 🌉 Sumedha Goyal (Adobe) on how Agent Observability helped her team build AI agents for Frame.io 🌉 Scott Gonyea (Figma) on using Datadog's MCP server to build internal tools Save your seat: https://bit.ly/4i80KSi
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Yanbing Li liked thisYanbing Li liked thisYouTube has already conquered the living room—according to a Nielsen report in 2025, it represented 12.5% of TV viewing in U.S. households. Where it’s still a rising competitor is in short-form video, where YouTube Shorts has amassed 200 billion average daily views but not quite the ubiquity of TikTok or Instagram Reels, at least in the U.S. The exec leading the push to translate the success of YouTube to YouTube Shorts is Aparna Pappu, an almost two-decade Google vet who was previously the GM of Google Workspace, or its productivity suite of Gmail, Google Docs, and more products. Read more: https://lnkd.in/gZb8fepP
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Yanbing Li reacted on thisYanbing Li reacted on thisA belated post: I’ve left Google a little while ago. In the last few weeks, I spent lots and lots of time with my family, and focused on my health. While our family has been going through some difficult times, this time has also been an incredibly rich and reflective time and I’m so grateful that I was able to do it. We made memories together, had epic adventures, and cherished time with each other as much as we could. I’m back now and looking to the future with optimism. I will post more on my next steps later. Reflecting back on my time at Google, the word that comes to mind most is gratitude. I’m really proud of a lot of the work we accomplished together. But most of all, I’m grateful that I got to share in part of this journey with a lot of great colleagues, some of whom have become dear friends. Some of you know that I was a “boomerang” at Google, having left and returned. This is because I still felt really connected to the company, people, and work even after I’d left for the first time. The same is true now that I've left for the second time. Thank you to all of you who have worked with me, supported me, challenged me, made me a better manager and coach, pushed me to deliver things I didn’t think we could deliver, and simply shared the journey with me. I’m cheering you on.
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Yanbing Li liked thisYanbing Li liked thisJoining SiliconANGLE & theCUBE LIVE from the New York Stock Exchange today. I'll be in conversation with Vivek Kumar, Global CISO at Alter Domus, on what it takes to secure the agentic enterprise. We'll dig into how MCP and agent chaining are reshaping the attack surface, why AI agents break the identity assumptions enterprises have relied on for years, and what architecture CISOs need to move agents safely into production. ❄️ Tune in today at 10 a.m. PT / 1 p.m. ET
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