Datadog

Everyone’s building their first AI agent. Scaling to teams of agents running secure + observable in production? That’s the real challenge. At #DASH2026, Datadog experts Diamond Bishop and Shah Ahmed will share lessons learned from building and operating AI agents at scale, including failures, monitoring strategies, and the platform principles powering next-generation agentic workloads. Register here: https://bit.ly/40gMaOd

Building metric queries manually can slow down troubleshooting and make it harder to explore your observability data. Learn how Natural Language Queries (NLQ) for Datadog metrics translates plain-English questions into structured queries to help you move from question to insight faster: https://bit.ly/4uCv4bh

Enriching logs after ingestion means duplicating lookups across tools and manually correlating data during every investigation. Learn how Datadog Observability Pipelines uses dynamically updating Reference Tables to enrich logs before routing so that you can apply fresh context and speed up analysis: https://bit.ly/4fm9WB9

Imagine a world where your creative flow is never interrupted by a dropped frame rate. ✨ Join Figma at #DASH2026 to see how they keep their Infinite Canvas buttery smooth. You'll learn how they built a custom RUM "Debug Mode" to track performance across JS and WASM, turning tricky UX issues into quick fixes. 👉 Register for DASH today: https://bit.ly/3OpK4cg

Ashley Jones, CTO at Attraction Tickets Ltd, is focused on delivering fast, seamless booking experiences that strengthen customer trust. With Datadog, teams have clear visibility into performance across their platform, helping them quickly identify bottlenecks and prioritize high-impact improvements. The results are clear. Using Datadog APM, Attraction Tickets reduced response times for a key booking API by 82%, from 11 seconds to just 2 seconds, dramatically improving speed and user experience. With better insight into performance, teams can continuously optimize their platform and drive stronger business outcomes. Explore how teams are innovating with Datadog: https://lnkd.in/ewaZj6hY

From Boston to New York City to San Francisco, Datadog employees came together to celebrate AAPI Heritage Month with events focused on teamwork, health, and movement. Our AMPED (Asian, Middle Eastern, Pacific Islander employees) Community Guild collaborated with our Veterans group to connect teams across our offices for AAPI 5Ks. Swipe through for highlights from the month 📸 #DatadogLife

When an alert fires in the middle of the night, every minute counts. Nulab's small SRE team resolved a DDoS attack in just 4 minutes with Bits AI SRE analyzing 1.7M+ logs per minute, creating a proactive reliability posture for incident response. Read the case study: https://bit.ly/4fbkNOy

Your GPUs are expensive. Are they earning their keep? Datadog GPU Monitoring is now GA — tying workloads and costs to hardware so your teams know exactly where capacity is going and how to use it better. Get more out of what you have: https://bit.ly/4vwFzgv

The Datadog Ambassadors program has grown into a global community of practitioners sharing what they learn about observability. This week, we've introduced the 2026 cohort, along with a new program: Datadog Champions, recognizing community contributors across 11 countries. Read more about our ambassadors' contributions: https://bit.ly/4abbaf6

Cloud costs change too quickly for retrospective reports and static spreadsheets to keep up, especially as AI workloads grow. Learn how Datadog Cloud Cost Management uses machine learning–based budget forecasting to help you project spend, stay proactive with alerts, and avoid overruns before they happen: https://bit.ly/4uz6ZlO