UI for Apache Kafka

Versatile, fast and lightweight web UI for managing Apache Kafka® clusters. Built by developers, for developers.

DISCLAIMER

UI for Apache Kafka is a free, open-source tool that is curated by Provectus, and is built and supported by the open-source community. It will remain free and open-source in the future. Provectus does not plan to add any paid features or subscription plans so that everyone can have a better experience observing their data. UI for Apache Kafka is a part of the Provectus NextGen Data Platform — Check it out! Also, learn more about Professional Services for Apache Kafka, to start handling your Kafka clusters and streaming apps with the help of Provectus Kafka experts.

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 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.

Guides

Configuration File

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

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

name: cluster name
bootstrapServers: where to connect
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 JMX port of a broker
readOnly: enable read only mode

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

Running a 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.

Helm chart

Helm chart could be found under charts/kafka-ui directory

Quick-start instruction here

Building With Docker

Liveliness and readiness probes

Liveliness and readiness endpoint is at /actuator/health. Info endpoint (build info) is located at /actuator/info.

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_KSQLDBSERVER`	KSQL DB server address
`KAFKA_CLUSTERS_0_KSQLDBSERVERAUTH_USERNAME`	KSQL DB server's basic authentication username
`KAFKA_CLUSTERS_0_KSQLDBSERVERAUTH_PASSWORD`	KSQL DB server's basic authentication password
`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 JMX port 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_KAFKACONNECT_0_USERNAME`	Kafka Connect cluster's basic authentication username
`KAFKA_CLUSTERS_0_KAFKACONNECT_0_PASSWORD`	Kafka Connect cluster's basic authentication password
`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
`TOPIC_RECREATE_DELAY_SECONDS`	Time delay between topic deletion and topic creation attempts for topic recreate functionality. Default: 1
`TOPIC_RECREATE_MAXRETRIES`	Number of attempts of topic creation after topic deletion for topic recreate functionality. Default: 15

harshsavasil/kafka-ui