Kafka on AWS — Complete Guide
Kafka on AWS — Complete Guide: free step-by-step lesson with examples, common mistakes, and interview tips — part of AWS Cloud Tutorial on Toolliyo Academy.
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AWS Cloud Tutorial · Lesson 74 of 100
Kafka on AWS
Core services ✓ → Projects
Projects · 2 — Deploy · ~10 min · AWS — Cloud-Native & Microservices
What is this?
Amazon MSK runs Apache Kafka clusters managed by AWS for high-throughput event streaming and log-based messaging.
Why should you care?
AwsVerse fraud pipeline streams transactions to ML scoring via Kafka topics with replay capability.
See it live — copy this example
Run in AWS CloudShell / local AWS CLI v2, or follow the matching steps in the AWS Console (Free Tier).
aws kafka create-cluster \
--cluster-name awsverse-events \
--kafka-version 3.5.1 \
--number-of-broker-nodes 3 \
--broker-node-group-info '{"InstanceType":"kafka.t3.small","ClientSubnets":["subnet-1a","subnet-1b"],"SecurityGroups":["sg-kafka"]}'What happened?
- Creates three-broker MSK cluster in private subnets.
- Producers use bootstrap brokers string; consumers join consumer groups.
Practice next
- Create MSK cluster (lab: smallest brokers).
- Create topic transactions with kafka-topics.sh.
- Produce and consume test messages.
- Enable MSK open monitoring to Prometheus.
- Compare MSK Serverless for variable throughput.
Remember
MSK = managed Kafka. Use for high-volume event streams. Plan partitions for parallelism.
AwsVerse fraud stream
Real-time scoring needs ordered transaction stream.
Outcome: Kafka topic feeds Flink job detecting anomalies in under 2 seconds.
Interview prep for this lesson
Practice these questions aloud after reading—each links to a full structured answer.
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