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Apache Kafka for Distributed Systems

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Learn everything you need to integrate Apache KAFKA for Distributed systems


1. Introduction
  • 1. Before getting started
  • 2.1 1. The problems before KAFKA.pptx
  • 2. The problems before Kafka
  • 3.1 2. The attributes you should look for.pptx
  • 3. The attributes you should look for
  • 4.1 Kafka as a solution.pptx
  • 4. Kafka as a solution
  • 5.1 what actually kafka is not about.pptx
  • 5. What actually Kafka is not about
  • 6.1 section 1 summary.pptx
  • 6. Section summary

  • 2. Installing Kafka
  • 1.1 5. Things you should consider.pptx
  • 1. Things you should consider before installing Kafka
  • 2. Kafka binaries and app structure
  • 3. Installing Kafka on plain Windows
  • 4. The problems of Kafka on plain Windows
  • 5. Installing Kafka using WSL2
  • 6.1 docker-compose.zip
  • 6. Running Kafka for all major Operation Systems
  • 7.1 connecting to KAFKA.pptx
  • 7. Connecting to Kafka
  • 8. Section summary

  • 3. Kafka essentials (Brokers, Topics and Partitions)
  • 1.1 Kakfa in general.pptx
  • 1. Kafka Simplified
  • 2.1 Cluster and Brokers.pptx
  • 2. Cluster and Brokers
  • 3.1 docker-compose.zip
  • 3.2 Running multiple brokers.pptx
  • 3. Running multiple brokers
  • 4.1 topics.pptx
  • 4. Kafka Topics
  • 5.1 partitions.pptx
  • 5. Kafka partitions
  • 6.1 real world simulation.pptx
  • 6. Real-world simulation of Kafka Topics
  • 7. Kafka Broker discovery
  • 8. Introduction to Kafka CLI
  • 9. Introduction to Kafka-topics CLI
  • 10. Kafka Partitions in Practice with CLI
  • 11. Other operations with Kafka-topics CLI
  • 12. Topic Replication Factor
  • 13. The concept of Leader Partition
  • 14. Kafka consumers replica fetching
  • 15. Topic replication factor in practice
  • 16. Section Summary

  • 4. Kafka Producer Essentials
  • 1. Introduction to Producers
  • 2. Producer Message internals
  • 3. Producer in practice using CLI
  • 4. Producer Message Serialization
  • 5. Producer partition strategies
  • 6. Producer acknowledgment essentials

  • 5. Kafka Consumer and Consumer Groups Essentials
  • 1. Introduction to Consumers
  • 2. Consumer message Deserialization
  • 3. Consumer in practice using CLI
  • 4. Consumer delivery semantics
  • 5. Introduction to Consumer Groups
  • 6. Consumer Groups in practice using CLI
  • 7. Manipulating offsets in Consumer Groups (Part 1)
  • 8. Manipulating offsets in Consumer Groups (Part 2)

  • 6. Advanced Kafka
  • 1. Partition distribution strategies
  • 2. RAFT- distributed consensus protocol
  • 3. Consumer rebalancing essentials
  • 4. Consumer rebalancing strategies and Static group membership
  • 5. Deep dive into Compression types

  • 7. Communication Strategies
  • 1. Synchronous communication
  • 2. Asynchronous communication
  • 3. Event Streaming using Apache Kafka

  • 8. Hands-on Producers using .NET and Apache Kafka
  • 1. Getting started with .NET and Apache Kafka
  • 2. Configuring a producer
  • 3. Our first producer
  • 4. Creating a Safe Producer
  • 5. Producer retries
  • 6. Primitive serialization
  • 7. Complex type serialization
  • 8. Custom serialization with IAsyncSerializer
  • 9. High-performance producer
  • 10. Producer idemportancy
  • 11. min.insync.replica with producer acks in detail

  • 9. Hands-on Consumers using .NET and Apache Kafka
  • 1. Configuring a consumer
  • 2. Our first consumer
  • 3. Simple deserialization
  • 4. Creating Custom deserializer
  • 5. Commit Strategies
  • 6. Manipulating offsets
  • 7. Advanced consumer configurations
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