As organizations rapidly invest in AI applications and build out AI labs, telemetry volumes are growing exponentially and costs are becoming unpredictable. From LLM interactions to agentic workflows, AI systems generate unpredictable streams of logs, driving up costs and making it harder to maintain efficient observability. These challenges are critical for organizations in regulated industries with strict data residency requirements, where data must remain within controlled environments. While some organizations build their own self-hosted solutions to meet these requirements, they often introduce significant operational burden and limit scalability.

In this session, we’ll explore how Bring Your Own Cloud (BYOC) enables you to deploy the Datadog platform within your own environment, giving you control over your data with the scalability, cost efficiency, and familiar experience of SaaS. We’ll walk through BYOC support for logs to show how you can manage petabyte-scale telemetry while maintaining seamless correlation across your entire stack.