Datadog

When Isabel Zheng joined Datadog as a Product Design intern in 2022, she didn’t come from a traditional design program. With a background in data science, she brought a technical lends to design — focused on clarity and how people interpret complex data. “Designing for Datadog requires a technical mindset,” she says. “My data science studies shaped how I think about clarity, structure, and how people interpret information.” She returned full-time in 2024 and now designs intuitive experiences on our Integrations team. Swipe to see her journey and explore opportunities with us here: 🔗https://lnkd.in/epCtY3nw #DatadogLife

The hardest part of AI? Unlearning 20 years of habits. 🧠 Leading in the AI age requires humility and the willingness to question what you know and start fresh. Your edge isn’t just expertise; it’s how quickly you can adapt, experiment, and try again. Curious what that looks like in practice? Tune in to the full episode of This Month in Datadog: https://bit.ly/4tc0pRe

Fragmented tools make AI harder to ship. When visibility is disconnected across LLM behavior, application performance, and GPU capacity, teams struggle to control spend, prove ROI, and scale with confidence. Datadog gives Google Cloud users one platform to evaluate, optimize, and secure their AI stack, helping teams build and scale more reliable AI applications and agents. 🔗 https://bit.ly/4eDZKUd

The Datadog platform you love, soon with a local postcode. 🇬🇧 Datadog is partnering with Amazon Web Services (AWS) to bring a UK availability zone to market, so UK organizations can host observability and security data in the UK while maintaining full platform functionality. Learn more: https://lnkd.in/e6_Z5xWz

Cloud environments are getting more complex and harder to secure. In our latest State of Cloud Security report, we analyzed security posture data from thousands of organizations across AWS, Azure, and Google Cloud. Join us to unpack the findings, including: • Why long-lived credentials remain a persistent risk • Which security best practices are actually being adopted • How misconfigurations continue to create exposure Register to get access!

Join this session to learn how Datadog Cloud SIEM helps organizations unify observability and security, accelerate investigations, and respond to threats with confidence. In this session, you’ll learn how to: • Centralize and analyze security data in real time • Accelerate detection and response with AI-driven workflows • Simplify SIEM migration and reduce operational overhead • Enable better collaboration across security and engineering teams Register now!

We are incredibly honored to be recognized at the Google Cloud Awards. This is a testament to our partnership with Google Cloud and our commitment to helping customers build more resilient, secure, and cost-effective applications. A huge thank you to our team and our amazing users!

This morning at #GoogleCloudNext, our CPO Yanbing Li was joined by Director of Google Applied AI Eng, Ali Arsanjani, PhD for a deep dive into how AI is reshaping cloud operations. Check out our booth and sessions on-site to see how Datadog and Google Cloud are better together: https://lnkd.in/eVkqD2qM

Hello, Las Vegas! 🌵 We're officially on the ground for #GoogleCloudNext '26. 📍 Stop by at our booth to learn how we help teams evaluate, optimize, and secure their AI stack: https://lnkd.in/eVkqD2qM

GPU costs keep rising, but are you short on GPUs or wasting what you have? Datadog GPU Monitoring, now GA, provides insights from the health, cost and performance of your GPU infrastructure to the workloads relying on it. Efficiently use your capacity and realize your AI revenue potential. https://bit.ly/3ODZEkT