Real-Time Data Infrastructure and Processing

Real-Time Data Infrastructure and Processing

Kafka-Based Streaming Architecture

Our real-time data processing infrastructure handles massive volumes of market data with enterprise-grade reliability and performance.

Three-Broker Kafka Cluster:

  • High Availability: Redundant brokers ensure no data loss during hardware failures

  • Scalability: Can process millions of messages per second with linear scaling

  • Fault Tolerance: Automatic failover and data replication across brokers

  • Low Latency: Sub-millisecond message processing for time-sensitive trading data

Data Stream Management:

  • Market Data Feeds: Real-time price, volume, and order book data from multiple exchanges

  • News Feeds: Instant processing of breaking news and market announcements

  • Social Media Streams: Real-time sentiment data from social media platforms

  • Economic Data: Immediate processing of economic indicators and central bank announcements

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