AGM Network implements data streaming solutions using Apache Kafka, event hubs, and stream processing frameworks for real-time data integration, event processing, and continuous data pipelines with high throughput and low latency.
Streaming integration provides continuous data ingestion, distributed event logs, pub/sub messaging, stream processing with Kafka Streams or Apache Flink, exactly-once semantics, and fault-tolerant architectures for handling millions of events per second. AGM Network builds streaming pipelines with topic design, partition strategies, consumer groups, schema registry for Avro/JSON schemas, Kafka Connect for source/sink connectors, and KSQL for stream processing.
Our streaming approach includes architecture design, topic modeling, producer/consumer development, stream processing logic, state management, windowing operations, monitoring with JMX metrics, and cluster management. We implement streaming for real-time analytics, CDC from databases, IoT data ingestion, and event-driven microservices.
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