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Скачать или смотреть Understanding Why Filebeat Registers a New Broker in Kafka: A Simple Explanation

  • vlogize
  • 2025-05-28
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Understanding Why Filebeat Registers a New Broker in Kafka: A Simple Explanation
Why does filebeat register a new broker when inserting data into topic of kafka?apache kafkafilebeat
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Описание к видео Understanding Why Filebeat Registers a New Broker in Kafka: A Simple Explanation

Discover why Filebeat might register a new broker when sending data to Kafka and how it handles client connections. Learn to properly configure your setups!
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This video is based on the question https://stackoverflow.com/q/65502345/ asked by the user '박배선' ( https://stackoverflow.com/u/11611967/ ) and on the answer https://stackoverflow.com/a/65511001/ provided by the user 'OneCricketeer' ( https://stackoverflow.com/u/2308683/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

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Understanding Why Filebeat Registers a New Broker in Kafka: A Simple Explanation

When working with data streaming and logging systems, it’s common to run into certain issues that can be confusing, especially when integrating different technologies. One such case is when Filebeat registers a new broker when trying to insert data into a Kafka topic. If you've encountered this issue, you’re not alone. Let’s dive into the problem and understand why it happens, how Kafka behaves in this scenario, and what steps you can take to address it.

The Background

Filebeat is a lightweight shipper for forwarding and centralizing log data. It's often used to send data to systems like Kafka for further processing. When you try to push logs to a Kafka topic—in this case, the cta_test topic—and see no data, it’s crucial to understand whether the configurations are set correctly and what the logs are indicating.

The Specific Problem

In your situation, you attempted to send data to the cta_test topic, but it seemed like no data was being registered. Upon checking the Filebeat logs, you observed the following:

The intended bootstrap addresses were kafka-001-cluster.priv.com to kafka-003-cluster.priv.com.

However, the connection was reset to use kafka-001.publ.com to kafka-003.publ.com.

What’s Going Wrong?

At first glance, it appears that Filebeat is registering new brokers with public addresses instead of the intended private cluster addresses, leading to confusion.

The Solution Explained

It’s Not a New Broker

First and foremost, it's important to note that the brokers being displayed aren't new; they are simply the addresses that Kafka has provided through the advertised.listeners configuration. When you set up Kafka, it exposes endpoint information about its available brokers to the clients (in this case, Filebeat).

Bootstrap Servers:

The output.kafka.hosts setting in your filebeat.yml allows you to specify bootstrap servers. This is an initial list of Kafka brokers that’s used to discover the full set of brokers in the cluster.

Advertised Listeners:

When Kafka initializes, it uses the advertised.listeners setting to inform clients (like Filebeat) how to connect to the available brokers. If you set this to use private addresses and Kafka is not configured correctly or the client-side configurations mismatch, it can return unexpected public addresses.

Steps to Diagnose the Issue

To resolve the situation, follow these steps:

Check Kafka Broker Configuration:

Verify that the advertised.listeners configuration in your Kafka broker settings is set correctly to the private addresses (e.g., kafka-001-cluster.priv.com). This setting helps clients know how to reach the brokers directly.

Review Firewall Settings:

If Kafka exposes public addresses, ensure that your network allows private communication between your Filebeat instance and the Kafka brokers.

Filebeat Configuration:

Double-check your filebeat.yml file to make sure the broker addresses you are using are correct and match those that are configured in Kafka.

Testing Connectivity:

Using tools like telnet or nc, you can verify if the specified private addresses are reachable from the machine where Filebeat is running.

Conclusion

Having a clear understanding of how Kafka handles broker registrations and how Filebeat interacts with these brokers can save time and avoid confusion. Remember: the brokers you see in your logs aren't new; they are the results of Kafka’s advertised listeners based on its internal configuration.

If you're continuing to face challenges with your Kafka setup, revisit the broker configurations, and ensure everything aligns properly. This structured approach should he

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