Course Outline
Introduction
- Overview of Apache Kafka.
- Introduction to event streaming and real-time data processing.
- Overview of Apache Kafka and its features.
- Use cases and benefits of Kafka in modern application development.
Understanding Kafka Architecture and Core Concepts
- Kafka architecture: brokers, topics, partitions, and replicas.
- Producers and consumers: publishing and consuming messages.
- Understanding the role of ZooKeeper in Kafka.
Kafka Topics and Partitions
- Topic creation and configuration.
- Understanding partitions and their implications.
- Replication and fault-tolerance in Kafka.
Kafka Producers
- Creating Kafka producers using various programming languages.
- Message serialization and serialization techniques.
- Producer configurations and best practices.
Kafka Consumers
- Developing Kafka consumers using different programming languages.
- Configuring consumer groups and offsets.
- Strategies for message processing and delivery guarantees.
Integrating Kafka with External Systems using Kafka Connect
- Overview of Kafka Connect and its connectors.
- Configuring and using Kafka Connect for data integration.
- Integrating Kafka with external systems.
Writing Streaming Applications with Kafka Streams & ksqlDB
- Introduction to Kafka Streams and its stream processing capabilities.
- Developing stream processing applications with Kafka Streams.
- Using ksqlDB for real-time data processing and analytics.
Integrating a Kafka Client Application with Confluent Cloud
- Overview of Confluent Cloud and its features.
- Configuring and connecting a Kafka client application with Confluent Cloud.
Kafka Security
- Introduction to Kafka security features.
- Configuring SSL/TLS for secure communication.
- Authentication and authorization mechanisms in Kafka.
Monitoring and Operations
- Monitoring Kafka using metrics and tools.
- Managing Kafka clusters and resources.
- Troubleshooting common issues and performance tuning.
Best Practices and Real-world Use Cases
- Best practices for designing Kafka-based applications.
- Case studies and examples of Kafka implementations in various industries.
- Best practices for building scalable and fault-tolerant Kafka architectures.
Summary and Next Steps
Requirements
- Basic programming knowledge.
Audience
- Developers.
- Programmers.
Custom Corporate Training
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- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
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Testimonials (2)
Very practical examples. The trainer has tried to keep a pace where everybody is able to go with even though the group was quite inhomogeneous regarding the knowhow. He has provided a lot of support to basically everybody who asked for it :)
Georgi - BMW SA
Course - Apache Kafka for Developers
The labs and the slides combine well with Jorge's knowledge and love for Kafka.
