Scalable pipelines require modular architecture and fault-tolerant components. Best practices include:

• Decouple pipeline stages: Separate ingestion, enrichment, storage, and analysis for independent scaling.
• Use distributed systems: Leverage services like Kafka, Kinesis, or Google Pub/Sub for robust event delivery.
• Stream or batch as needed: Use streaming for real-time insights and batch for historical or periodic workloads.
• Monitor and handle failures: Integrate real-time monitoring, retries, and dead-letter queues to ensure pipeline resilience.
  
  

Snowplow’s architecture naturally supports these principles, enabling production-grade, real-time pipelines.

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Design your pipeline to handle failures gracefully and alert on issues in real time.