How we scaled fast, reliable configuration distribution to thousands of workload containers | Datadog

What this post added

This post details the evolution of Datadog's system for distributing configuration data to workload containers. It highlights the challenges of scaling configuration updates, the limitations of simpler approaches like on-demand fetching and basic caching with Kafka invalidation, and introduces a new internal system designed for fast, reliable, and resilient configuration distribution at scale. The system aims to abstract operational overhead and adapt to new use cases.