As organizations rapidly invest in AI applications and build out AI labs, a new challenge is emerging: telemetry volumes are growing exponentially. From LLM interactions to agentic workflows, AI systems generate massive, unpredictable streams of logs, driving up costs and making it harder to maintain efficient, scalable observability.

At the same time, organizations in regulated industries or operating across regions can't send observability data outside controlled environments, while fully self-hosted solutions increase operational complexity and limit scalability.

In this session, we’ll explore how Bring Your Own Cloud (BYOC) enables you to deploy the Datadog observability engine within your own environment, combining the control of self-hosting with the scalability, cost efficiency, and operational simplicity of SaaS. We’ll walk through BYOC support across logs, metrics, and traces, and how it helps you manage high-volume telemetry while maintaining seamless correlation across your entire tech stack.