fast-data-dev
FLaNK-Halifax
| fast-data-dev | FLaNK-Halifax | |
|---|---|---|
| 10 | 14 | |
| 1,977 | 1 | |
| 0.3% | - | |
| 5.2 | 7.3 | |
| 10 days ago | 6 months ago | |
| Shell | TypeScript | |
| Apache License 2.0 | Apache License 2.0 |
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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
FLaNK-Halifax
- FLaNK Stack Weekly for 27 November 2023
- FLaNK Stack Weekly for 20 Nov 2023
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- FLaNK Stack Weekly 06 Nov 2023
- FLaNK Stack Weekly for 30 Oct 2023
- FLaNK Stack Weekly 23 Oct 2023
- FLaNK Stack Weekly 16 October 2023
- FLaNK Stack Weekly 09 Oct 2023
- FLaNK Stack Weekly 2 October 2023
- FLaNK Stack for 25 September 2023
What are some alternatives?
kafka-stack-docker-compose - docker compose files to create a fully working kafka stack
rivet - The open-source visual AI programming environment and TypeScript library
kafka-ui - Open-Source Web UI for Apache Kafka Management
SeaGOAT - local-first semantic code search engine
kafka-rest - Confluent REST Proxy for Kafka
flink-cdc - Flink CDC is a streaming data integration tool
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.
vimGPT - Browse the web with GPT-4V and Vimium
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
CML_AMP_Intelligent-QA-Chatbot-with-NiFi-Pinecone-and-Llama2 - The prototype deploys an Application in CML using a Llama2 model from Hugging Face to answer questions augmented with knowledge extracted from the website. This prototype introduces Pinecone as a database for storing vectors for semantic search.
KafkaEsque - Kafka Development Tool
co-tracker - CoTracker is a model for tracking any point (pixel) on a video.