Dear TMDB Team,

I’m reaching out to better understand how TMDB’s API infrastructure handles data updates and to explore potential strategies for reducing latency in reflecting changes.

As a user of your API, I’ve observed that updates (e.g., metadata edits, new entries) take significant time to propagate. Based on industry practices, this delay could stem from factors like: Caching mechanisms (e.g., CDN/in-memory caches with longer TTLs), Batch processing of updates instead of real-time handling, Database constraints (e.g., write bottlenecks in relational systems), Geographical replication lag.

Could you share insights into how TMDB currently manages these aspects? For instance:

Are updates processed in batches, or is there a real-time event-driven system in place? How is caching optimized to balance performance and freshness of data? Are there plans to adopt edge computing, distributed databases, or CQRS/event-sourcing patterns to minimize latency?

I’d appreciate any details on TMDB’s roadmap for improving update responsiveness. Thank you for your time and for providing such a valuable service to the community!

Best regards.