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Now, you know that in a Patricof car broker is responsible for storage of messages sent by producers

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and consumed by consumers in is centralized point of storage.

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And of course, if there was just a single broker and if this broker fails, nobody will be able to

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sell producers and consumers and Oprah be simply stopped this way.

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Usually Gloster of the brokers is created and you are able to create very small clusters with few sellers,

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but you are also able to scale them and create Glouster that will contain thousands of sellers and large

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companies like Linked In or Netflix who utilize Patricof can have such a large Gloucester's descarga

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Gloster.

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And if there was a Gloster, and if there are multiple producers and multiple consumers, they are able

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to interact with different brokers inside of the cluster.

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What I mean, for example, every single producer may send messages to different brokers and every broker

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will store part of the messages.

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So it means that the old messages from producers will be spread among different servers.

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On other hand, Kafka consumers might read messages from different Kafka brokers.

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Also, if one of the brokers fails in a Kafka, Gloster also brokers will take over it and the continued

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operation of an entire class.

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And now you may ask me a question.

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What if there are hundreds of brokers in a Kafka class or how those brokers synchronize between each

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other, how they talk to each other, how they agree, how to distribute workload and so on.

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That's where Zookeeper comes in.

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Let's discuss what is OK and what is responsible for in the next lecture.

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See you next.

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Bye bye.