Advanced Topic 35 of 51 Distributed Systems & Cloud
Apache Kafka
Distributed log for high-throughput event streaming.
How it works
Kafka is a distributed append-only log partitioned by key and replicated; consumers track offsets in consumer groups, enabling replay and high throughput.
Where it is used
Event streaming backbone.
Common pitfall
Partition count limits parallelism; ordering is per partition.
Where it fits in the course
Apache Kafka is topic 35 of 51 in Distributed Systems & Cloud, rated Advanced. It follows Batch vs Stream Processing. The next topic is Apache Spark.
Practice and explore
- Open the interactive lesson, with a mini quiz.
- Take the Distributed Systems & Cloud quiz.
How to study this topic
- Read the explanation above and restate the definition in your own words.
- Open the interactive lesson and answer its mini quiz.
- Read the common pitfall, then write a short example that avoids it.
- Check your understanding in the Distributed Systems & Cloud quiz, and revisit the topic if you miss a question.
Frequently asked questions
What is Apache Kafka?
Distributed log for high-throughput event streaming. It belongs to Distributed Systems & Cloud and is an advanced-level topic.
Where do people use Apache Kafka?
Event streaming backbone.
What is the most common mistake with Apache Kafka?
Partition count limits parallelism; ordering is per partition.
What should I learn before this topic?
Start with Batch vs Stream Processing, the topic just before it in Distributed Systems & Cloud.
How can I practice it?
Answer the mini quiz in the interactive lesson, then take the Distributed Systems & Cloud quiz.
Is Apache Kafka hard to learn?
It is an Advanced topic. Expect to read the explanation more than once and to connect it with earlier topics. Working through a small example by hand helps most.
How long does it take to learn Apache Kafka?
Most learners can read the explanation and finish the interactive lesson in under an hour. Fluency comes from applying the idea, so plan a few short practice sessions with the quiz.
Which topics are related to Apache Kafka?
Batch vs Stream Processing, Apache Spark, MapReduce are closely connected. The full list is in the related topics section of this page.
What should I study after Apache Kafka?
Continue with Apache Spark, the next topic in Distributed Systems & Cloud.
Related topics
- Batch vs Stream Processing (Distributed Systems & Cloud)
- Apache Spark (Distributed Systems & Cloud)
- MapReduce (Distributed Systems & Cloud)
- Service Discovery (Distributed Systems & Cloud)