Operations | Monitoring | ITSM | DevOps | Cloud

AI is changing everything. At Datadog, our approach is two-fold: empower you with complete observability across your entire stack, including AI as you incorporate it, and harness emergent technologies to make Datadog even more powerful. Join VP of Product Michael Whetten to see how Datadog is accomplishing these two approaches. He'll share the latest feature updates and new products designed to help you thrive in an AI-powered world. Plus, get a look at our long-term vision for the future of AI and its impact on your work.

Custom Metrics provide critical visibility into your environment and applications. In this video, we’ll show you how to govern Custom Metrics volumes in Datadog by: Building monitors to proactively catch usage spikes Identifying and attributing your largest cost drivers Reducing costs on less valuable, unused metrics.

Take control of your observability spending with complete transparency into usage patterns across logs, metrics, and traces. No more surprise bills or blind cost optimization - get the visibility you need to manage budgets effectively.

​Map service dependencies and validate architectural patterns without manually analyzing trace flows. Trace Operators let you query relationships between services within distributed traces using simple, intuitive syntax.

​Map service dependencies and validate architectural patterns without manually analyzing trace flows. Trace Operators let you query relationships between services within distributed traces using simple, intuitive syntax.

Query Builder v5 brings familiar SQL-like syntax to observability data with expression-based querying that works across logs, metrics, and traces. Write complex queries using the syntax you already know.