Your architecture is growing and needs scalable data streaming. How do you tackle this challenge?
As your architecture grows, ensuring scalable data streaming is crucial for handling increased data loads efficiently. Here's how to tackle this challenge:
What strategies have you found effective for scalable data streaming?
Your architecture is growing and needs scalable data streaming. How do you tackle this challenge?
As your architecture grows, ensuring scalable data streaming is crucial for handling increased data loads efficiently. Here's how to tackle this challenge:
What strategies have you found effective for scalable data streaming?
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To handle scalable data streaming, choose a robust platform like Apache Kafka, Amazon Kinesis, or Google Pub/Sub based on your ecosystem. Design for horizontal scaling with partitioning and replication, and use stream processing frameworks like Apache Flink or Spark for real-time processing. Decouple producers and consumers, monitor with tools like Prometheus, and ensure security through encryption and access controls. Plan for future growth with hybrid cloud support and integration with archival storage or AI pipelines.
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