Datadog on Stateful Workloads on KubernetesContainer orchestration platforms, like Kubernetes, were, from the beginning, an ideal solution for microservice architectures running a lot of stateless services. This was also the case for Datadog, which is run on dozens of self-managed Kubernetes clusters in a multi-cloud environment, adding up to hundreds of thousands of pods. But what about stateful applications? What are the best practices to run and scale those without losing data?
