Once you installed the prerequisites and cloned the repository, run the following steps in your project directory:
NOTE: If you are an macOS M1 User then please keep in mind below things
Make sure you have ARM supported java installed
Skip the maven tests as they might not be successful
Build a docker image with the app
./mvnw clean install -Pprod
if you need to build the frontend kafka-ui-react-app
, go here
In case you want to build kafka-ui-api
by skipping the tests
./mvnw clean install -Dmaven.test.skip=true -Pprod
To build only the kafka-ui-api
you can use this command:
./mvnw -f kafka-ui-api/pom.xml clean install -Pprod -DskipUIBuild=true
If this step is successful, it should create a docker image named provectuslabs/kafka-ui
with latest
tag on your local machine except macOS M1.
Using Docker Compose
NOTE: If you are an macOS M1 User then you can use arm64 supported docker compose script
./documentation/compose/kafka-ui-arm64.yaml
Start the kafka-ui
app using docker image built in step 1 along with Kafka clusters:
docker-compose -f ./documentation/compose/kafka-ui.yaml up -d
Using Spring Boot Run
If you want to start only kafka clusters (to run the kafka-ui
app via spring-boot:run
):
docker-compose -f ./documentation/compose/kafka-clusters-only.yaml up -d
Then start the app.
./mvnw spring-boot:run -Pprod
# or
./mvnw spring-boot:run -Pprod -Dspring.config.location=file:///path/to/conf.yaml
Running in kubernetes
Using Helm Charts
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.
kafka-ui
app running, navigate to http://localhost:8080.