Ingest fake customer and order data into Kafka with the MSK Data Generator and save it to S3, with connectors deployed as Strimzi custom resources.

Ingest records from a Kafka topic into a DynamoDB table using the Camel DynamoDB sink connector, defined and run on Kafka Connect.

Deploy a Kafka to OpenSearch pipeline on AWS with Terraform, covering a VPC, VPN server, MSK cluster, OpenSearch domain and the MSK Connect connectors.

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

Build the Glue Schema Registry client library and use it to manage and enforce schemas in Kafka producer and consumer applications.

Develop the Camel DynamoDB sink connector on Docker, consuming fake order records from a Kafka topic and writing them into a DynamoDB table.

A Kafka Connect ingestion pipeline on Docker. The MSK Data Generator creates fake customer and order records, and the Confluent S3 sink saves them.

A survey of the Kafka connectors available for AWS service integration, as the starting point for building real time data pipelines on AWS.