Send and read Kafka topic records from Python client applications built with the kafka-python package and deployed on Kubernetes.

Create a Kafka cluster on Kubernetes with Strimzi, the first step in a series on Python clients and Kafka Connect pipelines on Kubernetes.

Consume Kafka messages with an AWS Lambda function, using Amazon MSK as an event source so that Lambda polls the topic and invokes the function.

A local Flink and Spark environment built from EMR container images, where Flink ingests data in real time and Spark queries it via the Glue Data Catalog.

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

Aggregate taxi ride counts and trip durations by vendor over five second windows with PyFlink, then chart them in an OpenSearch dashboard.

Export Kafka topic messages to S3 with PyFlink, enriching records through a user defined function and querying them on Athena through a Glue table.

Read records from S3 and send them into a Kafka topic with PyFlink, using a custom pipeline jar for IAM authentication, which is useful for enrichment.

Stateful stream processing set against traditional data infrastructure, showing which application patterns it improves and what opportunities it opens.

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