In addition, data can be distributed within the system to provide additional or safeguard against system errors that make data inconsistent, as well as the ability to scaling performance. Literally a file system or commit log database is designed to provide a consistent record of all transactions to make the system consistent, the data in Kafka is stored. It is often described as a “commit log distribution system” or more recently known as a “distributed distribution platform”. What is Kafka?Īpache Kafka is a publish / subscribe messaging system designed to solve this problem. So you want a single centralized system that allows you to create the same kind of data that can grow as your business grows. You also know there will be many new use cases for messages in the future.

Suppose your company maintains multiple queuing data systems (all with their own bugs and limitations). This way it is much better to take advantage of point to point connections but it does have a lot of repetition. And then you realize the similarity of those systems and the picture below shows three pub / sub systems models Individual Queue Systems (personal queuing system)Īt the same time you want to conduct other activities such as checking or providing user actions on your website for ML developers to collect and analyze customer habits. You set up a single application that receives data from all external applications and provides a server to maintain and query those data for any system that needs them.

Gradually due to the need you will have many applications and services to serve different purposes (my eyes inadequacies of this system building technique are obvious, so you decide to do something. And of course it also needs to make the same connection as the previous service. So now you have new applications that will generate data. To support this, you modify your application so that you can send data to both systems. So you’ll start needing a service that can take data, store them, statistic them. Later you decide to try data analysis for a long time and vs the current model does not work well. This is just a simple example when starting out with data tracking. For example, you create an application You need to send data to track website activity such as you make a direct connection from your website to an application that can display that data on a table to be able to track. There are a lot of use cases for Pub / sub, the simplest is to start with a message queue (message queue) or interprocess communication channel.

The pub / sub system usually has a broker, which is the center where messages are delivered. Instead, the sender will classify the message into classes and somehow the subscriber must register in a certain class to receive messages in that class. Publish / subscribe messaging is a pattern that is characterized by sending (publisher) data (message) without explicit recipient designation. Things to know before you learn Kafka Publish / Subscribe messagingīefore discussing the specifics of Apache Kafka, we need to understand the structure of pub / sub messaging and why it is important.

Markdown monster keeps crashing