Explore the challenges and solutions encountered by Datadog in scaling gRPC usage across millions of containers in a Kubernetes environment. Learn how this data-intensive backend, written in multiple programming languages, overcame issues such as load imbalance, request failures, data corruption, and memory exhaustion. Discover the process of standardizing gRPC implementation and the resulting benefits. Gain valuable insights into potential problems that may arise when scaling gRPC usage and acquire practical knowledge to apply these lessons to your own organization's distributed systems.