Operations | Monitoring | ITSM | DevOps | Cloud

AI has become incredibly sophisticated and changed the way we build and power applications. But it has also introduced volatile complexity that challenges how we ensure reliability and protect user experiences. Join our panel of experts as they discuss the realities of building AI-powered applications. They’ll talk about how testing has evolved, share insights into how they do evals and experiments, and offer advice on how to get better visibility into how your AI is performing.

As Datadog scaled to handle over a hundred trillion daily events, our engineering teams built their own custom query engines to keep things fast. While this helped teams move quickly, it also created silos that made it tough to analyze data across different products. To keep growing and support AI, we had to find a way to bring these engines together using open standards without slowing anyone down or risking reliability.

Join Datadog's Chief Product Officer Yanbing Li and OpenAI's Member of Product Staff Alexander Embiricos as they discuss emerging technologies and innovation, how they impact businesses today, and the new opportunities they create for you.

Automate Slack support questions with Datadog Workflow Automation and Bits AI Agent Builder. Datadog Workflow Automation can now trigger directly from messages posted in Slack. In this quick demo, Yuta Yoshida, Product Manager at Datadog, shows how to build an automated support workflow that: → Detects new support questions in a Slack channel→ Sends questions to a custom agent built with Bits AI Agent Builder→ Replies directly in the Slack thread with an answer and relevant documentation.

See how Datadog Journey Monitoring brings together user behavior, real-user insights, and proactive testing to track the health of critical user journeys, understand business impact, and quickly troubleshoot issues.

Modal is an AI infrastructure company rebuilding the cloud for AI, giving developers easy access to the compute needed to build and scale AI applications without managing the underlying complexity. Operating across more than 20 cloud providers and launching approximately 26 million containers daily, Modal relies on Datadog to unify observability across its infrastructure, applications, networking, and CI—helping its engineers detect 99% of incidents within five minutes, resolve 96% of issues before customer impact, and confidently scale one of the world’s most complex AI platforms.

We’ve built one of the most advanced access control models in observability, for every user and agent. Vikrant, who designed and built it, walks through,

Engineering ships faster than ever with AI writing more of the code, but test coverage has to keep pace, or users find the broken flows first.

A quick demo of fine-grained access control in SigNoz, using dashboards as the example. We’ve built one of the most advanced access control models in the observability space. See how to define exactly who can access each individual dashboard.