- Overview
- Where to Start
- Confluent Cloud
- Stream Processing
- Data Pipelines
- Confluent Platform
- Build Your Own
- Additional Demos
This is a curated list of demos that showcase Apache Kafka® event stream processing on the Confluent Platform, an event stream processing platform that enables you to process, organize, and manage massive amounts of streaming data across cloud, on-prem, and serverless deployments.
The best demo to start with is cp-demo which spins up a Kafka event streaming application using ksqlDB for stream processing, with many security features enabled, in an end-to-end streaming ETL pipeline with a source connector pulling from live data and a sink connector connecting to Elasticsearch and Kibana for visualizations.
cp-demo also comes with a tutorial and is a great configuration reference for Confluent Platform.
| Demo | Local | Docker | Description |
|---|---|---|---|
| Beginner Cloud | Y | N | Fully automated demo interacting with your Confluent Cloud cluster using Confluent Cloud CLI  |
| Clients to Cloud | Y | N | Client applications in different programming languages connecting to Confluent Cloud  |
| Cloud ETL | Y | N | Cloud ETL solution using fully-managed Confluent Cloud connectors and fully-managed ksqlDB  |
| On-Prem Kafka to Cloud | Y | Y | This more advanced demo showcases an on-prem Kafka cluster and Confluent Cloud cluster, and data copied between them with Confluent Replicator  |
| GKE to Cloud | N | Y | Uses Google Kubernetes Engine, Confluent Cloud, and Confluent Replicator to explore a multicloud deployment  |
| Demo | Local | Docker | Description |
|---|---|---|---|
| Clickstream | N | Y | Automated version of the ksqlDB clickstream demo  |
| Kafka Tutorials | Y | Y | Collection of common event streaming use cases, with each tutorial featuring an example scenario and several complete code solutions  |
| Microservices ecosystem | Y | N | Microservices orders Demo Application integrated into the Confluent Platform  |
| Music demo | Y | Y | ksqlDB version of the Kafka Streams Demo Application  |
| Demo | Local | Docker | Description |
|---|---|---|---|
| Clients | Y | N | Client applications in different programming languages |
| Connect and Kafka Streams | Y | N | Demonstrate various ways, with and without Kafka Connect, to get data into Kafka topics and then loaded for use by the Kafka Streams API  |
| Demo | Local | Docker | Description |
|---|---|---|---|
| Avro | Y | N | Client applications using Avro and Confluent Schema Registry  |
| CP Demo | N | Y | Confluent Platform demo (cp-demo) with a playbook for Kafka event streaming ETL deployments  |
| Kubernetes | N | Y | Demonstrations of Confluent Platform deployments using the Confluent Operator  |
| Multi Datacenter | N | Y | Active-active multi-datacenter design with two instances of Confluent Replicator copying data bidirectionally between the datacenters  |
| Multi Region Replication | N | Y | Multi-region replication with follower fetching, observers, and replica placement |
| Quickstart | Y | Y | Automated version of the Confluent Platform Quickstart  |
| Role-Based Access Control | Y | Y | Role-based Access Control (RBAC) provides granular privileges for users and service accounts  |
| Secret Protection | Y | Y | Secret Protection feature encrypts secrets in configuration files  |
| Replicator Security | N | Y | Demos of various security configurations supported by Confluent Replicator and examples of how to implement them  |
As a next step, you may want to build your own custom demo or test environment. We have several resources that launch just the services in Confluent Platform with no pre-configured connectors, data sources, topics, schemas, etc. Using these as a foundation, you can then add any connectors or applications. See confluentinc/cp-all-in-one for more information.
Here are additional GitHub repos that offer an incredible set of nearly a hundred other Apache Kafka demos. They are not maintained on a per-release basis like the demos in this repo, but they are an invaluable resource.