This repository is a suite of Kafka cluster management tools developed by DataDog. It provides four primary tools: `topicmappr` for partition reassignment and rebalancing with storage-aware placement, `registry` for a gRPC/HTTP API that exposes Kafka metadata and custom tagging, `autothrottle` for dynamically adjusting replication throttles based on Datadog network metrics, and `metricsfetcher` for pulling partition size and broker storage metrics from Datadog into ZooKeeper. The architecture is a collection of independent CLI binaries and a gRPC server, all sharing well-factored Go libraries (`kafkaadmin`, `kafkazk`, `mapper`) that abstract Kafka admin operations, ZooKeeper interactions, and partition mapping logic. The codebase is production-grade, with extensive unit and integration tests, Docker-based development environments, and CI pipelines. It is tightly coupled to Datadog for metrics and ZooKeeper for metadata, which introduces some drift risk as Kafka evolves away from ZooKeeper. The last commit date (2026-09-16) appears anomalous and may indicate a timestamp issue, but the repository shows active maintenance with recent CI configurations and issue triage.