kinesis

End-to-End Streaming Architecture with Kinesis and Glue

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Modern applications generate continuous streams of data—clickstream events from websites, IoT sensor readings, transaction logs, application metrics, and real-time user interactions—that demand immediate processing and analysis to extract timely insights. Building robust streaming architectures that ingest, transform, and analyze this data at scale while maintaining reliability and cost-efficiency presents significant engineering challenges that Amazon Web … Read more

How to Send CDC Events to Kinesis: Complete Implementation Guide

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Streaming database changes to Amazon Kinesis unlocks real-time data processing capabilities—enabling event-driven architectures, powering analytics dashboards with fresh data, and triggering automated workflows within seconds of database modifications. Change Data Capture (CDC) to Kinesis represents a powerful pattern, but implementing it correctly requires understanding multiple integration approaches, configuration nuances, and operational considerations. Poor implementations result … Read more

Kafka vs Kinesis: Choosing the Right Streaming Platform

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Real-time data streaming has become essential for modern applications that need to process events, analyze data, and react to changes as they happen. Two platforms dominate the streaming landscape: Apache Kafka, the open-source distributed streaming platform that has become synonymous with event streaming, and Amazon Kinesis, AWS’s fully managed streaming service. While both enable ingesting, … Read more

Kinesis Data Stream vs Firehose: Choosing the Right AWS Streaming Service

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Amazon Web Services offers two distinct services for handling streaming data: Kinesis Data Streams and Kinesis Data Firehose. While both process real-time data and share the Kinesis brand, they serve fundamentally different purposes and operate on different architectural principles. Choosing incorrectly between them can lead to unnecessary complexity, higher costs, or architectural limitations that force … Read more