Distributed event streaming with producers, brokers, consumer groups, partitions, and exactly-once semantics.
Applications publishing events — user actions, logs, metrics, transactions.
Avro/Protobuf schema management ensuring producer-consumer compatibility.
Kafka brokers storing partitioned, replicated topic logs across nodes.
Cluster coordination, leader election, and metadata management.
Stateful stream processing — joins, aggregations, windowing in real-time.
Source and sink connectors — database CDC, S3, Elasticsearch, JDBC.
Applications consuming events with offset tracking and rebalancing.
Failed messages routed for inspection, retry, or manual resolution.
Lag monitoring, throughput metrics, consumer health via JMX/Prometheus.
Cold storage for older segments — S3/GCS for cost-effective retention.
Explore this architecture with animated data flows, node auditing, and AI-powered analysis.
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