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CLOUD-NATIVE STREAMING AND EVENT-DRIVEN MICROSERVICES
• Processing large quantities of data in real-time
• Use cases:
• predictive maintenance, fraud detection, QoS, IoT
• enterprise integration meets ‘Big Data’
• Specific requirements
• High throughput, low latency
• Grouping, ordering, windowing
• Transition in messaging middleware design:
• Traditional (JMS-based, RabbitMQ)
• To log-style: Kafka, Amazon Kinesis, Google Pub/Sub, Azure Event Hubs
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