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What can you do with Kafka?

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Deepika Sahu answered on December 15, 2022 Popularity 8/10 Helpfulness 1/10

answer What can you do with Kafka?

related What is Kafka?

related How Kafka works?

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What can you do with Kafka?

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It can perform in several ways, such as:
>> In order to transmit data between two systems, we can build a real-time stream of data pipelines with it.
>> Also, we can build a real-time streaming platform with Kafka, that can actually react to the data.

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Contributed on Dec 29 2022

Deepika Sahu

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Closely Related Answers

What is Kafka?

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Apache Kafka is an open-source distributed event streaming platform used by thousands of companies for high-performance data pipelines, streaming analytics
Key Features:-
High Throughput	Support for millions of messages with modest hardware
Scalability	Highly scalable distributed systems with no downtime
Replication	Messages are replicated across the cluster to provide support for multiple subscribers and balances the consumers in case of failures
Durability	Provides support for persistence of message to disk
Stream Processing	Used with real-time streaming applications like Apache Spark & Storm
Data Loss	Kafka with proper configurations can ensure zero data loss

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Contributed on Dec 17 2022

Deepika Sahu

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How Kafka works?

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How does Kafka work? 
Kafka combines two messaging models, queuing and publish-subscribe, to provide the key benefits of each to consumers.
Queuing allows for data processing to be distributed across many consumer instances, making it highly scalable. 
However, traditional queues aren't multi-subscriber.

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Contributed on Dec 15 2022

Deepika Sahu

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What is Kafka used for?

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Kafka is a distributed system used for creating real-time streaming data pipelines and applications.

@Configuration
@EnableKafka
public class Config {

    @Bean
    ConcurrentKafkaListenerContainerFactory<Integer, String>
                        kafkaListenerContainerFactory(ConsumerFactory<Integer, String> consumerFactory) {
        ConcurrentKafkaListenerContainerFactory<Integer, String> factory =
                                new ConcurrentKafkaListenerContainerFactory<>();
        factory.setConsumerFactory(consumerFactory);
        return factory;
    }

    @Bean
    public ConsumerFactory<Integer, String> consumerFactory() {
        return new DefaultKafkaConsumerFactory<>(consumerProps());
    }

    private Map<String, Object> consumerProps() {
        Map<String, Object> props = new HashMap<>();
        props.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, "localhost:9092");
        props.put(ConsumerConfig.GROUP_ID_CONFIG, "group");
        props.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, IntegerDeserializer.class);
        props.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class);
        props.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "earliest");
        // ...
        return props;
    }

    @Bean
    public Sender sender(KafkaTemplate<Integer, String> template) {
        return new Sender(template);
    }

    @Bean
    public Listener listener() {
        return new Listener();
    }

    @Bean
    public ProducerFactory<Integer, String> producerFactory() {
        return new DefaultKafkaProducerFactory<>(senderProps());
    }

    private Map<String, Object> senderProps() {
        Map<String, Object> props = new HashMap<>();
        props.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, "localhost:9092");
        props.put(ProducerConfig.LINGER_MS_CONFIG, 10);
        props.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, IntegerSerializer.class);
        props.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, StringSerializer.class);
        //...
        return props;
    }

    @Bean
    public KafkaTemplate<Integer, String> kafkaTemplate(ProducerFactory<Integer, String> producerFactory) {
        return new KafkaTemplate<Integer, String>(producerFactory);
    }

}

https://aws.amazon.com/msk/what-is-kafka/#:~:text=Kafka%20is%20primarily%20used%20to,historical%20and%20real%2Dtime%20data.

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Contributed on Feb 06 2023

Pragya Keshap

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kafka basics

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Immutable, append-only logs

Fast, resilient, scalable, high throughput

Relies on file system for storing and caching messages

Resilient and fault-tolerant by replication

Disk caching, memory mapped files instead of GC eligible memory

Scale by partitions

Ordered inside partition

As an event store: A great match for event-driven microservices

kafka-topics — create — zookeeper zookeeper:2181 — topic applog — partitions 5 — replication-factor 3

https://medium.com/inspiredbrilliance/kafka-basics-and-core-concepts-5fd7a68c3193#:~:text=Kafka%20works%20as%20a%20cluster,available%2C%20and%20fault%2Dtolerant.&text=Kafka%20stores%20data%20as%20a,be%20processed%20in%20different%20methods.

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Contributed on Feb 21 2023

Pragya Keshap

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What can you do with Kafka?

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What can you do with Kafka?

Closely Related Answers

What is Kafka?

How Kafka works?

What is Kafka used for?

kafka basics

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