WEBVTT 00:03.780 --> 00:09.000 Welcome to the example, number one, this example, we will agree the topic with multiple participants 00:09.210 --> 00:15.180 and afterwards we will try to produce math just to that topic and you'll see how math just spread across 00:15.240 --> 00:18.680 different partitions or messages inside of every partitions. 00:18.930 --> 00:25.260 We will get unique of that number and afterwards we will try to start consumer and zumthor just from 00:25.260 --> 00:27.840 the topic and from a specific partition. 00:28.320 --> 00:33.570 Also, you'll understand how to read messages from particular offset from particular autism. 00:33.900 --> 00:39.510 Also, you'll see that Kafka will automatically create a new system called consumer offsets and that 00:39.510 --> 00:41.310 Dobek will have 50 partitions. 00:41.580 --> 00:44.230 I'll explain why it is needed and how to structure. 00:44.490 --> 00:45.100 Let's get started.