A complete event streaming platform diagram. Producers, topics, consumer groups, schema registry, and Kafka Connect — ready to customize.
Copy this Mermaid code into Cybewave Studio or any Mermaid-compatible editor.
graph TD
P1[Order Service] -->|Produce| T1[orders Topic]
P2[User Service] -->|Produce| T2[users Topic]
P3[Payment Service] -->|Produce| T3[payments Topic]
subgraph Kafka Cluster
T1 --> Part1[Partition 0..N]
T2 --> Part2[Partition 0..N]
T3 --> Part3[Partition 0..N]
end
SR[Schema Registry] -.->|Validate| T1
SR -.->|Validate| T2
SR -.->|Validate| T3
T1 --> CG1[Analytics Consumer Group]
T1 --> CG2[Search Indexer Group]
T3 --> CG3[Notification Consumer Group]
T2 --> CG1
CG1 --> DW[(Data Warehouse)]
CG2 --> Elastic[(Elasticsearch)]
CG3 --> Email[Email / Push]
KC[Kafka Connect] --> T1
KC --> SinkDB[(Sink - PostgreSQL)]
KC --> SinkS3[(Sink - S3 Archive)]A proven Kafka streaming topology used by engineering teams worldwide.
Partitioned topics for orders, users, and payments with configurable retention and replication.
Avro/Protobuf schema validation ensures producers and consumers agree on data format.
Independent consumer groups for analytics, search indexing, and notifications — each at its own pace.
Source and sink connectors for PostgreSQL, S3, Elasticsearch, and more without custom code.
A Kafka architecture diagram visualizes producers, topics with partitions, consumer groups, schema registry, and connectors. It shows how event streams flow through the platform and are consumed by downstream services.
Open the template in Cybewave Studio and ask the AI to add new consumer groups. For example, "add a fraud detection consumer that reads from the payments topic." The AI updates the diagram instantly.
Yes. The template uses standard Kafka concepts (topics, partitions, consumer groups, schema registry, Connect) that apply to Apache Kafka, Confluent Platform, and Redpanda alike.
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