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Browse Kafka topics and understand what's happening on your cluster. Find topics / view topic metadata / browse topic data (kafka messages) / view topic configuration / download data. This is a web tool for the confluentinc/kafka-rest proxy.

Live Demo

Running it

    docker pull landoop/kafka-topics-ui
    docker run --rm -it -p 8000:8000 \
               -e "KAFKA_REST_PROXY_URL=https://kafka-rest-proxy-host:port" \
               -e "PROXY=true" \

Config: If you don't use our docker image, keep in mind that Kafka-REST-Proxy CORS support can be a bit buggy, so if you have trouble setting it up, you may need to provide CORS headers through a proxy (i.e. nginx).

Note: The schema-registry is optional and topics are attempted to be read using Avro, then fall back to JSON, and finally fall back to Binary.

Build from source

    git clone
    cd kafka-topics-ui
    npm install -g bower
    npm install -g http-server
    npm install
    bower install
    http-server -p 8080 .

Web UI will be available at http://localhost:8080

Nginx config

If you use nginx to serve this ui, let angular manage routing with

    location / {
      add_header 'Access-Control-Allow-Origin' "$http_origin" always;
      add_header 'Access-Control-Allow-Credentials' 'true' always;
      add_header 'Access-Control-Allow-Methods' 'GET, POST, PUT, DELETE, OPTIONS' always;
      add_header 'Access-Control-Allow-Headers' 'Accept,Authorization,Cache-Control,Content-Type,DNT,If-Modified-Since,Keep-Alive,Origin,User-Agent,X-Mx-ReqToken,X-Requested-With' always;

      proxy_pass https://kafka-rest-server-url:8082;
      proxy_redirect off;

      proxy_set_header  X-Real-IP  $remote_addr;
      proxy_set_header  X-Forwarded-For $proxy_add_x_forwarded_for;
      proxy_set_header  Host $http_host;

Setup Kafka Rest clusters

Use multiple Kafka Rest clusters in env.js :

var clusters = [
      NAME: "prod",
      KAFKA_REST: "https://kafka-rest-ip:8082",
      MAX_BYTES: "50000",
      RECORD_POLL_TIMEOUT: "5000",
      NAME: "dev",
      KAFKA_REST: "localhost",
      MAX_BYTES: "50000",
      COLOR: "#141414", // Optional
      RECORD_POLL_TIMEOUT: "5000",

Alternatively, you can pass multiple proxies within KAFKA_REST_PROXY_URL env. variable by separating them with a comma.



  • Use MAX_BYTES to set the default maximum amount of bytes to fetch from each topic.
  • Use RECORD_POLL_TIMEOUT to set the timeout in ms.
  • Use COLOR to set different header colors for each set up cluster.
  • Set DEBUG_LOGS_ENABLED to true to enable the debug logs.
  • Set LAZY_LOAD_TOPIC_META to true to lazy load topic meta information.

CP Version support

Latest release is for CP 3.2.0 and above.

For versions older than CP 3.2.0 you will need kafka topics ui version 0.8.3. You can also build it from source by running:

    git clone
    cd kafka-topics-ui
    git checkout tags/v0.8.3 -b v0.8.3
    npm install -g bower
    npm install
    http-server .

Important: For Kafka REST Proxy 3.2.x you should set Without this option, Kafka REST Proxy will fail to return messages for large topics. Although the default value is 1000, a bug in the Kafka REST code prevents you from manually setting (depending on some other consumer options) a value lower than 30000.



Common Issues

If having "CONNECTIVITY ERROR" problems make sure the file has CORS enabled. To enable CORS add the following configuration to that file, and restart the backend Kafka-Rest


If using a recent version of the Kafka-Topics-UI and Kafka-REST, make sure that you have properly configured Kafka-REST with the new consumer API. That requires setting up in the configuration of Kafka REST


Make sure you restart Kafka REST after changing it's configuration files


The project is licensed under the BSL license.

Relevant Projects

  • schema-registry-ui, View, create, evolve and manage your Avro Schemas for multiple Kafka clusters
  • kafka-connect-ui, Set up and manage connectors for multiple connect clusters
  • fast-data-dev, Docker for Kafka developers (schema-registry,kafka-rest,zoo,brokers,landoop)
  • Landoop-On-Cloudera, Install and manage your kafka streaming-platform on your Cloudera CDH cluster
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