Kafka
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Kafka is a good choice for many use cases because of its various features and capabilities. Some reasons why Kafka is a good choice include:
Durability: Kafka stores all published messages for a configurable amount of time, allowing for fault-tolerance in the event of server failures.
High-throughput: Kafka is built to handle high-throughput, low-latency data streams, making it ideal for real-time streaming applications.
Decoupling: Kafka allows for decoupling of data producers and consumers, making it easier to add or remove data sources and data processing tasks without affecting other parts of the system.
Multi-subscriber: Kafka allows multiple consumers to read from the same topic, enabling different parts of an application or different applications to consume the same data.
Flexibility: Kafka can be used for a wide range of use cases, including real-time data streaming, log aggregation, event sourcing, and more.
Open-source: Kafka is open-source and actively developed, meaning it has a large and supportive community, and new features and improvements are added regularly.
Overall, Kafka is a powerful, highly scalable, and fault-tolerant distributed streaming platform that can handle high-throughput, low-latency data streams, making it a good choice for many use cases.
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Links? Screenshots?
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Kafka is a good choice for many use cases because of its various features and capabilities. Some reasons why Kafka is a good choice include:
Durability: Kafka stores all published messages for a configurable amount of time, allowing for fault-tolerance in the event of server failures.
High-throughput: Kafka is built to handle high-throughput, low-latency data streams, making it ideal for real-time streaming applications.
Decoupling: Kafka allows for decoupling of data producers and consumers, making it easier to add or remove data sources and data processing tasks without affecting other parts of the system.
Multi-subscriber: Kafka allows multiple consumers to read from the same topic, enabling different parts of an application or different applications to consume the same data.
Flexibility: Kafka can be used for a wide range of use cases, including real-time data streaming, log aggregation, event sourcing, and more.
Open-source: Kafka is open-source and actively developed, meaning it has a large and supportive community, and new features and improvements are added regularly.
Overall, Kafka is a powerful, highly scalable, and fault-tolerant distributed streaming platform that can handle high-throughput, low-latency data streams, making it a good choice for many use cases.
@nennogabriel said in Kafka:
Kafka is a good choice for many use cases because of its various features and capabilities. Some reasons why Kafka is a good choice include:
Durability: Kafka stores all published messages for a configurable amount of time, allowing for fault-tolerance in the event of server failures.
High-throughput: Kafka is built to handle high-throughput, low-latency data streams, making it ideal for real-time streaming applications.
Decoupling: Kafka allows for decoupling of data producers and consumers, making it easier to add or remove data sources and data processing tasks without affecting other parts of the system.
Multi-subscriber: Kafka allows multiple consumers to read from the same topic, enabling different parts of an application or different applications to consume the same data.
Flexibility: Kafka can be used for a wide range of use cases, including real-time data streaming, log aggregation, event sourcing, and more.
Open-source: Kafka is open-source and actively developed, meaning it has a large and supportive community, and new features and improvements are added regularly.
Overall, Kafka is a powerful, highly scalable, and fault-tolerant distributed streaming platform that can handle high-throughput, low-latency data streams, making it a good choice for many use cases.
Your request is far more likely to find support if you state what the application helps you do.
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Looks like ChatGPT wrote this generic prose. Spam?
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Looks like ChatGPT wrote this generic prose. Spam?
@marcusquinn said in Kafka:
Looks like ChatGPT wrote this generic prose. Spam?
Nice idea! Here is an example of a AI generated request for Kafka on Cloudron:
I am writing to request that the Cloudron platform include Kafka software. Kafka is a powerful and popular event-streaming platform that is used for building distributed, event-driven architectures and streaming applications. By including Kafka in the Cloudron platform, developers would be able to quickly and easily deploy Kafka clusters and use them to power their applications. This would help to reduce the amount of time and effort required to set up and maintain Kafka clusters, increasing productivity for developers and allowing them to create more powerful applications. I would greatly appreciate any assistance you can provide in making this request a reality. Thank you for your time and consideration.
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getting Error: getaddrinfo ENOTFOUND while performing rest api ...
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Looks like ChatGPT wrote this generic prose. Spam?
@marcusquinn Here is a chatGPT:
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Might be this?
In which case, I expect niche dev demand, and RabbitMQ does similar and might have more integrations with other apps here.
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I want to use a queue control to n8n tasks. I saw this is commonly done with RabbitMQ, but I use kafka on other projects and I guessed it could be used as queue control as well. So, i tried to create a local kafka with docker, but it is not simple. I guess RabbitMQ is more friendly to IT usage.
