7 Aug 2016 Read in about 3 min
Kafka is now the de-facto platform for streaming architectures, and it’s eco-system is maturing, but is not just
Enterprise Ready as many people in Big | Fast Data would like it to be. Lenses.io is a London based start-up
that wants to drive Kafka faster to the future, and thus..
We are announcing the kafka-topics-ui a User Interface that allows browsing data from Kafka Topics and a lot more
The kafka-topics-ui is a user interface that interacts with the Kafka rest-proxy to allow browsing data from Kafka Topics. At the same time it brings visibility by providing a single entry point to explore i) Kafka data, ii) Kafka Schemas, iii) Kafka connectors and a lot more, such as partitions per topic, replication factor per topic and topic configurations.
The Kafka REST Proxy - is an excellent
state-less micro-service by Confluent that allows anyone to easily:
Utilizing it’s capabilities for building a UI was a straight-forward processes after overcoming the initial difficulties. First and foremost we had to tackle the fact you can’t tell a priory what type of data a particular topic contains. Once we figured out that, we can
Then things got so much more interesting. Another hidden gem was the flag - that allows us to efficiently stream
just enough data to feed the UI and achieve the above process in just 2-3 seconds.
Check https://github.com/landoop/kafka-topics-ui and follow instructions (Tip: Remember to enable CORS).
The easiest way to get it running is using
docker pull landoop/kafka-topics-ui
And run the container, by specifying the url of the kafka-rest service:
docker run --rm -it -p 8000:8000 \ -e "KAFKA_REST_PROXY_URL=http://localhost:8082" \ landoop/kafka-topics-ui
Lenses.io - similarly to you continuously brings to light best practices while thriving for operational excellence. Together with the open-source community we are aiming to enhance kafka-topics-ui with new features and capabilities:
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