kafka-ui

UI for Apache Kafka – Free Web UI for Apache Kafka  

UI for Apache Kafka is a free, open-source web UI to monitor and manage Apache Kafka clusters.

UI for Apache Kafka is a simple tool that makes your data flows observable, helps find and troubleshoot issues faster and deliver optimal performance. Its lightweight dashboard makes it easy to track key metrics of your Kafka clusters - Brokers, Topics, Partitions, Production, and Consumption.

Set up UI for Apache Kafka with just a couple of easy commands to visualize your Kafka data in a comprehensible way. You can run the tool locally or in the cloud.

Features

• Multi-Cluster Management — monitor and manage all your clusters in one place
• Performance Monitoring with Metrics Dashboard — track key Kafka metrics with a lightweight dashboard
• View Kafka Brokers — view topic and partition assignments, controller status
• View Kafka Topics — view partition count, replication status, and custom configuration
• View Consumer Groups — view per-partition parked offsets, combined and per-partition lag
• Browse Messages — browse messages with JSON, plain text, and Avro encoding
• Dynamic Topic Configuration — create and configure new topics with dynamic configuration
• Configurable Authentification — secure your installation with optional Github/Gitlab/Google OAuth 2.0

The Interface

UI for Apache Kafka wraps major functions of Apache Kafka with an intuitive user interface.

Topics

UI for Apache Kafka makes it easy for you to create topics in your browser by several clicks, pasting your own parameters, and viewing topics in the list.

It's possible to jump from connectors view to corresponding topics and from a topic to consumers (back and forth) for more convenient navigation. connectors, overview topic`s settings.

Messages

Let's say we want to produce messages for our topic. With the UI for Apache Kafka we can send or write data/messages to the Kafka topics without effort by specifying parameters, and viewing messages in the list.

Schema registry

There are 3 supported types of schemas: Avro®, JSON Schema, and Protobuf schemas.

Before producing avro-encoded messages, you have to add an avro schema for the topic in Schema Registry. Now all these steps are easy to do with a few clicks in a user-friendly interface.

Getting Started

To run UI for Apache Kafka, you can use a pre-built Docker image or build it locally.

Configuration

We have plenty of docker-compose files as examples. They're built for various configuration stacks.

Configuration File

Example of how to configure clusters in the application-local.yml configuration file:

kafka:
  clusters:
    -
      name: local
      bootstrapServers: localhost:29091
      zookeeper: localhost:2183
      schemaRegistry: http://localhost:8085
      schemaRegistryAuth:
        username: username
        password: password
#     schemaNameTemplate: "%s-value"
      jmxPort: 9997
    -

• name: cluster name
• bootstrapServers: where to connect
• zookeeper: zookeeper service address
• schemaRegistry: schemaRegistry's address
• schemaRegistryAuth.username: schemaRegistry's basic authentication username
• schemaRegistryAuth.password: schemaRegistry's basic authentication password
• schemaNameTemplate: how keys are saved to schemaRegistry
• jmxPort: open jmxPosrts of a broker
• readOnly: enable read only mode

Configure as many clusters as you need by adding their configs below separated with -.

Running From Docker Image

The official Docker image for UI for Apache Kafka is hosted here: hub.docker.com/r/provectuslabs/kafka-ui.

Launch Docker container in the background:

docker run -p 8080:8080 \
	-e KAFKA_CLUSTERS_0_NAME=local \
	-e KAFKA_CLUSTERS_0_BOOTSTRAPSERVERS=kafka:9092 \
	-d provectuslabs/kafka-ui:latest 

Then access the web UI at http://localhost:8080.
Further configuration with environment variables - see environment variables

Docker Compose

If you prefer to use docker-compose please refer to the documentation.

Building With Docker

Steps to build UI for Apache Kafka locally with Docker:

1. Install prerequisites: Java and Docker
2. Clone this repository and open a terminal in the directory of the project
3. Build a Docker container with UI for Apache Kafka
4. Start UI for Apache Kafka with your Kafka clusters
5. Navigate to UI for Apache Kafka

Prerequisites

• Java 13 or newer
• Docker

Installing Prerequisites on Mac

1. Install Homebrew Cask:

   > brew update
   

2. Install JAVA 13 with Homebrew Cask:

   > brew tap adoptopenjdk/openjdk
   > brew install adoptopenjdk13
   

   Building

Once you installed the prerequisites and cloned the repository, run the following commands in your project directory:

Build a Docker container with UI for Apache Kafka:

./mvnw clean install -Pprod

Start UI for Apache Kafka with your Kafka clusters:

docker-compose -f ./docker/kafka-ui.yaml up

To see UI for Apache Kafka, navigate to http://localhost:8080.

If you want to start only kafka-clusters:

docker-compose -f ./docker/kafka-clusters-only.yaml up

Then start UI for Apache Kafka with a local profile.

Running Locally Without Docker

./mvnw spring-boot:run -Pprod

Running in Kubernetes

helm repo add kafka-ui https://provectus.github.io/kafka-ui
helm install kafka-ui kafka-ui/kafka-ui

To read more please follow to chart documentation

Guides

• SSO configuration
• AWS IAM configuration
• Docker-compose files

Connecting to a Secure Broker

UI for Apache Kafka supports TLS (SSL) and SASL connections for encryption and authentication. This can be configured by providing a combination of the following files (placed into the Kafka root directory):

To be continued

Environment Variables

Alternatively, each variable of the .yml file can be set with an environment variable. For example, if you want to use an environment variable to set the name parameter, you can write it like this: KAFKA_CLUSTERS_2_NAME

Name	Description
SERVER_SERVLET_CONTEXT_PATH	URI basePath
LOGGING_LEVEL_ROOT	Setting log level (trace, debug, info, warn, error). Default: info
LOGGING_LEVEL_COM_PROVECTUS	Setting log level (trace, debug, info, warn, error). Default: debug
SERVER_PORT	Port for the embedded server. Default: 8080
KAFKA_ADMIN-CLIENT-TIMEOUT	Kafka API timeout in ms. Default: 30000
KAFKA_CLUSTERS_0_NAME	Cluster name
KAFKA_CLUSTERS_0_BOOTSTRAPSERVERS	Address where to connect
KAFKA_CLUSTERS_0_ZOOKEEPER	Zookeeper service address
KAFKA_CLUSTERS_0_KSQLDBSERVER	KSQL DB server address
KAFKA_CLUSTERS_0_PROPERTIES_SECURITY_PROTOCOL	Security protocol to connect to the brokers. For SSL connection use "SSL", for plaintext connection don't set this environment variable
KAFKA_CLUSTERS_0_SCHEMAREGISTRY	SchemaRegistry's address
KAFKA_CLUSTERS_0_SCHEMAREGISTRYAUTH_USERNAME	SchemaRegistry's basic authentication username
KAFKA_CLUSTERS_0_SCHEMAREGISTRYAUTH_PASSWORD	SchemaRegistry's basic authentication password
KAFKA_CLUSTERS_0_SCHEMANAMETEMPLATE	How keys are saved to schemaRegistry
KAFKA_CLUSTERS_0_JMXPORT	Open jmxPosrts of a broker
KAFKA_CLUSTERS_0_READONLY	Enable read-only mode. Default: false
KAFKA_CLUSTERS_0_DISABLELOGDIRSCOLLECTION	Disable collecting segments information. It should be true for confluent cloud. Default: false
KAFKA_CLUSTERS_0_KAFKACONNECT_0_NAME	Given name for the Kafka Connect cluster
KAFKA_CLUSTERS_0_KAFKACONNECT_0_ADDRESS	Address of the Kafka Connect service endpoint
KAFKA_CLUSTERS_0_JMXSSL	Enable SSL for JMX? true or false. For advanced setup, see kafka-ui-jmx-secured.yml
KAFKA_CLUSTERS_0_JMXUSERNAME	Username for JMX authentication
KAFKA_CLUSTERS_0_JMXPASSWORD	Password for JMX authentication