Kafka presentation
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An event is an immutable object containing details of something that has occurred. Businesses need to respond to events in real-time to predict and move data to where it is needed. Kafka is an event streaming platform that can publish and subscribe to streams of events. It uses topics to organize event data, which are partitioned across brokers for scalability. Producers publish events to topics while consumers subscribe to topics to process event streams. Businesses can use event streaming for applications like e-commerce cart updates, IoT sensor data processing, and financial transactions.
Kafka presentation
- 1. Event - SOMETHING HAPPENED !!!! FACT Kafka Event Streaming - Sunitha
- 2. An Event is an Immutable Object containing details of something that has happened
- 3. Businesses need to Respond to Events ● before the moment passes ● Predict and get Data to where it is needed And move from Event-driven to Event-streaming Architectures
- 4. Shopping Cart Example: 1. Added to cart ( Cust id=123, prod id=34, quantity 2 ) Event key=1, value { Custid: 123, Activity: Add, Prodid: 34, Quantity: 2 TimeStamp: 12:34:04 } 2. Updated cart ( Cust id=123, prod id=45 quantity 3 ) Event key=2, value { Custid: 123, Activity: Add, Prodid: 45, Quantity: 3, TimeStamp: 12:34:15 } 3. Delete cart ( Cust id=123, prod id=34 quantity 2 ) Event key=3, value { Custid: 123, Activity: Delete, Prodid: 34, Quantity: 2, TimeStamp: 12:34:50 } 3. Placed the order ( Cust id=123, prod id=34 quantity 4 ) Event key=4 value { Custid: 123, Activity: Order, Prodid: 45, Quantity: 3, TimeStamp: 12:35:06 } All of your Data is a Stream of events. It is the history of any entity
- 6. Business uses of event streaming Process payments and financial transactions in real-time Track and monitor cars, trucks, fleets, and shipments in real-time Continuously capture and analyze sensor data from IoT devices or other equipment Collect and immediately react to customer interactions and orders Monitor patients in hospital care and predict changes in condition to ensure timely treatment in emergencies Connect, store, and make available data produced by different divisions of a company Serve as the foundation for data platforms, event-driven architectures, and microservices. Generate Real Time data-insights
- 7. Started by Linkedin Introducing Kafka: Event Streaming Platform
- 8. What Does Kafka do ? Publish and Subscribe Store Process streams of events
- 9. Kafka Terminologies Topic Producer Consumer Broker Partition ZooKeeper Any application who can publish Events (messages) to a topic Any application that subscribes to a topic and consume these Events Category or feed name to which records are published ( Folders in File System)-Container for Partitions Each Server in a Kafka cluster Topics are broken up into ordered commit logs called partitions/Units of storage for messages Manages and coordinates a Kafka Broker
- 11. Each Partition is sub divided into segments