fast-data-dev
kafka-rest
fast-data-dev | kafka-rest | |
---|---|---|
10 | 3 | |
1,977 | 2,223 | |
0.3% | 0.6% | |
5.2 | 9.0 | |
10 days ago | 7 days ago | |
Shell | Java | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
fast-data-dev
- FLaNK Stack Weekly 16 October 2023
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Kafka visualization tool
I liked https://lenses.io/ Lots of capabilities but it's not free as I know.
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A list of GUI tools for working with Apache Kafka
Lenses
- Looking For Suggestions on The Definitive Guide (V2)
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Is there recommed UI for Kafka like RabbitMQ?
For Kafka Dev I use https://github.com/lensesio/fast-data-dev
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Couldn't connect to Kafka broker with Kafka UI tools: Lenses and kafka-ui
Currently I'm using Lenses:https://lenses.io/ as UI tool, but while turning on kafka-start-server server.properties and launch the UI on localhost, it failed to connect:
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Free tools to connect to multi-broker/SSL-enabled clusters & manage topics?
Oh thats sad to hear ... lenses.io is so powerful I am not sure how I would have gotten by to this point without it!
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Kafka as message broker for new platform?
In Addition to the more critical replys from others, why Kafka still makes sense imo: - you could organist everything with custom pipeline/services at your scale. The cost of maintaining those and keep the technology up to date is growing exponentially with every new Service. Kafka offers ansinge Plattform with a couple components which need to be kept up to date. - deploying, managing and monitoring those service is also a big task and does not come for free. - unless your using Kubernetes underneath, scaling is not easy with services. - peer to peer communications of microservices should be avoided because your building a „deathstar“-like architecture where everything is linked and effectively you’ll end up with a distributed monolith. A message broker or message queue helps to avoid this, Kafka is a good tool for that. - I heard that those aws Kafka replacements are not 100% Kafka as one might expect, you should be careful there. But confluent or other providers probably offer hosted solutions on aws too. - https://lenses.io/ helped us a lot when we started with Kafka to see how everything works together, create stream processor’s with sql and easily deploy Kafka connect workers. The tool costs money though but is worth it in the end in my opinion. (Disclaimer: I don’t work for confluent or lenses, we’re running open source Kafka with strimzi and lenses)
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[Beginner] Alternatives for starting kafka in windows 11 without wmic
https://github.com/lensesio/fast-data-dev is a really cool option for a Kafka development environment based on docker and/or kubernetes.
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Any dev tool ideas for the issues in Kafka so it makes things easier ? It can be combining other frameworks… Planning to do for final project in my college
Yes: - https://lenses.io/ (use the Lenses box, it’s free) - https://github.com/lensesio/fast-data-dev - https://github.com/provectus/kafka-ui
kafka-rest
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How are events actually published to kafka?
There is a REST API Producer for Kafka - https://github.com/confluentinc/kafka-rest - which can take HTTP API requests and put them into a Kafka topic for you.
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Kafka Rest API vs client library
When you say the Rest API, are you referring to the Confluent REST Proxy?
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Why does Kafka use long-polling instead of websockets?
Maybe you're referring to kafka-rest and http based long polling? Nevertheless, the reason linked in the other comment is still the same.
What are some alternatives?
kafka-stack-docker-compose - docker compose files to create a fully working kafka stack
examples - Apache Kafka and Confluent Platform examples and demos
kafka-ui - Open-Source Web UI for Apache Kafka Management
Apache Kafka - Mirror of Apache Kafka
console - Redpanda Console is a developer-friendly UI for managing your Kafka/Redpanda workloads. Console gives you a simple, interactive approach for gaining visibility into your topics, masking data, managing consumer groups, and exploring real-time data with time-travel debugging.
ksql-udf-deep-learning-mqtt-iot - Deep Learning UDF for KSQL for Streaming Anomaly Detection of MQTT IoT Sensor Data
cp-all-in-one - docker-compose.yml files for cp-all-in-one , cp-all-in-one-community, cp-all-in-one-cloud, Apache Kafka Confluent Platform
schema-registry - Confluent Schema Registry for Kafka
KafkaEsque - Kafka Development Tool
ns4kafka - Ns4Kafka brings namespaces on top of Kafka brokers, Kafka Connect and Schema Registry.
inference - A fast, easy-to-use, production-ready inference server for computer vision supporting deployment of many popular model architectures and fine-tuned models.
kafka-connect-elasticsearch - Kafka Connect Elasticsearch connector