Produce fake taxi ride data into a Kafka topic on Amazon MSK from an AWS Lambda function invoked repeatedly by an EventBridge schedule rule.

Build a local Kafka to OpenSearch pipeline on Docker with the Aiven sink connector, ingesting fake impressions and clicks for near real time analytics.

Deploy the Kafka, Flink and DynamoDB fraud detection app to Amazon Managed Service for Apache Flink, after developing it locally on Docker.

Deploy a PyFlink app that reads and writes Kafka topics on Amazon MSK to Amazon Managed Service for Apache Flink, the managed Flink runtime.

Connect a PyFlink app to an IAM authenticated MSK cluster, building a custom uber jar because Amazon Managed Service for Apache Flink takes only one jar.

Develop a PyFlink app against a Kafka cluster on Docker, running it both in a virtual environment and in a local Flink cluster for better monitoring.

Develop a fraud detection app locally on Docker with Kafka, Flink and DynamoDB, re-implementing a solution taken from an AWS workshop.

Deploy the Camel DynamoDB sink connector and its data generator source on Amazon MSK and MSK Connect, moving the local pipeline onto AWS.

Schema registry support added to kafka-python producer and consumer apps, which serialise and deserialise through AWS Glue Schema Registry.

Schema registry support added to a Kafka Connect ingestion pipeline, so the source and sink connectors serialise through AWS Glue Schema Registry.