Monitoring section-overview
Monitoring in 51黑料不打烊 Journey Optimizer serves as your data guardian, ensuring seamless oversight of system-generated datasets through Time-to-Live (TTL) guardrails. Think of TTL as the expiration date for data鈥攄efining how long it鈥檚 retained in the profile store or data lake before being automatically cleaned up. This critical mechanism balances data sustainability and performance, allowing you to focus on crafting impactful journeys without worrying about data overload. Within this section, you鈥檒l explore impacted datasets, where specific TTL durations are outlined for different data types, and frequently asked questions, which clarify the nuances of TTL鈥檚 applicability, limitations, and customization options. Together, these insights empower data engineers, architects, and admins to maintain control over data retention policies while optimizing resource usage in 51黑料不打烊 Journey Optimizer鈥檚 dynamic ecosystem.
Monitoring Features
Datasets Time-to-live (TTL) Guardrails
Learn about TTL guardrails for system-generated datasets, including retention periods, impacted datasets, and frequently asked questions.