Kafka Based Microservices with Akka Streams and Kafka Streams

This course covers the following learning outcomes and goals: understanding Kafka-based microservices using Akka Streams and Kafka Streams, exploring the architecture and benefits of Kafka, learning about streaming alternatives, comparing Akka and Kafka, and implementing microservices using Akka Streams and Kafka Streams. The course teaches individual skills and tools such as Kafka partitioning, Spark and Flink integration, driver pipelining, event time vs processing time considerations, exactly-once processing, and running microservices with Kafka Streams. The teaching method of the course involves a combination of theoretical concepts, architectural discussions, code examples in Scala, and practical considerations for production tradeoffs, latency, and backpressure. The intended audience for this course includes developers, software engineers, architects, and anyone interested in building microservices using Kafka and Akka Streams.