Datadog

At #DASH2026, a panel of fintech leaders will share how they've made observability and security second nature across their teams. The lessons go way beyond finserv — you'll walk away with practical tips to help your team build more reliable, secure software. Register for DASH today: https://bit.ly/4exmVQb

Ben Rosand and the team at Cleo Health are using Datadog to power HIPAA-compliant AI tools for emergency and inpatient care - saving clinicians 54 minutes per shift and recovering $243 per stay. They reduced root cause analysis time by 90% while scaling with confidence. Read the full story: https://bit.ly/4wCeA4i

We’re streaming the #DASH2026 keynote LIVE! If you can’t join us in person, join our livestream to see how we are building the next generation of observability, powered by AI. ➡️ RSVP today.

40% less log volume. 40% fewer incidents. 35% faster resolution. Itaú Unibanco, Latin America’s largest bank serving 70M+ customers, unified observability with Datadog. With centralized logging and AI-driven insights from Watchdog and Bits AI, teams surface critical signals faster and operate more efficiently at scale. Read the full story: https://lnkd.in/e7uehiMn 40% menos volume de logs. 40% menos incidentes. 35% mais rapidez na resolução. O Itaú Unibanco, o maior banco da América Latina, atendendo mais de 70 milhões de clientes, unificou a observabilidade com a Datadog. Com logging centralizado e insights impulsionados por IA do Watchdog e do Bits AI, as equipes identificam sinais críticos mais rapidamente e operam com mais eficiência em escala. Leia a história completa: https://lnkd.in/euMkZFPB

Your Datadog metrics, alerts, and logs—right inside Claude. The Datadog plugin is now live on the Claude Marketplace 🎉 🔗 https://lnkd.in/egyyx7MP

This year at #DASH2026, we’re excited to show you how Datadog is building the next generation of observability with new updates to our platform. Be the first to see what assisted and autonomous operations can look like for your organization, as we build towards safe and reliable self driving infrastructure. See you at the keynote — register here: https://bit.ly/3OpK4cg

Are scaling laws finally working for time series foundation models? Today, Datadog is releasing Toto 2.0 weights in Apache 2.0 on Hugging Face. It's a family of open-weights TSFMs from 4M to 2.5B parameters, where every size beats the last from a single hyperparameter config. First across the leading benchmarks: BOOM, GIFT-Eval, and TIME. Most TSFM families ship multiple sizes that all perform roughly the same. This one doesn't. Why it matters: scaling laws gave language and vision a predictable relationship between compute, data, parameters, and downstream performance. Time series hasn't had that curve until now. Once you have it, you can scale data and compute with confidence, and start asking which new capabilities emerge at the next order of magnitude. 2.5B open-source weights: https://lnkd.in/echf9CNA 4M open-source weights: https://lnkd.in/eC7dXMBR Blogpost: https://lnkd.in/ePCF2EXw

Join experts from Datadog and Google Cloud to explore how organizations are navigating the operational complexity and rising costs of accelerating AI adoption. Discover how a unified approach to observability and security provides a reliable foundation to scale your IT strategy and deliver measurable business impact. Register here: https://bit.ly/4exku04

How well do AI systems answer questions about time series data? On ARFBench, the best models reach ~63% accuracy on real incident data. But models and human experts fail on different questions: combine them and accuracy jumps to 87%. Read more: https://bit.ly/48AANFC

Higher release velocity. More AI complexity. Same 2 AM pages. At #DASH2026, we're sharing the AI Engineering Playbook—how to pair Datadog Feature Flags and LLM Observability to ship faster, trace every agent step, and roll back before your customers notice. Still need to register for DASH? Use code MAYFLASHSALE for $300 off: https://bit.ly/3OpK4cg