Read the blog post: Introducing Kafka-Kit: Tools for Scaling Kafka

This repository contains several services and tools for that help better operate Kafka. See the README for each tool for further details.

Topicmappr replaces and extends the kafka-reassign-partition tool bundled with Kafka. It allows for minimal movement broker replacements, cluster storage rebalancing / partition bin-packing, leadership optimization, many-at-once topic management, and more—all with rack awareness support.

README

A gRPC+HTTP API service for Kafka that allows granular resource (topics, brokers) lookup and management with custom tagging support.

README

A service that automatically paces Kafka replication/recovery throttle rates, powered with metrics using the Datadog API.

README

A utility that fetches metrics via the Datadog API for Kafka storage rebalancing and partition mapping with topicmappr.

README

All tools/services will likely build on recent versions of MacOS and Go: go install ./cmd/....

A Docker based environment is available for repeatable linux builds and local testing. This will setup a Kafka environment with a running Registry instance from which all other Kafka-Kit tools will be available:

$ make run-compose
docker-compose build
zookeeper uses an image, skipping
kafka uses an image, skipping
Building ssl_setup
[+] Building 0.5s (15/15) FINISHED
[...build output...]

$ docker exec -ti kafka-kit_registry_1 bash
root@280ae6597b9b:/go/src/github.com/DataDog/kafka-kit# which topicmappr registry autothrottle metricsfetcher
/go/bin/topicmappr
/go/bin/registry
/go/bin/autothrottle
/go/bin/metricsfetcher

root@280ae6597b9b:/go/src/github.com/DataDog/kafka-kit# curl -s localhost:8080/v1/topics/list | jq
{
  "topics": {},
  "names": [
    "__consumer_offsets"
  ]
}

When finished, make stop-compose will tear down the environment.

See the Development Guide for testing and contributing changes.