Cloud infrastructure provides the foundation for scalable data processing through elastic resources and managed services.

Elastic compute and storage:

• Cloud services offer elastic compute and storage resources that scale automatically based on demand
• Support for both vertical and horizontal scaling to handle varying data processing requirements
• Automatic resource provisioning and de-provisioning to optimize costs and performance

Managed services integration:

• Services like Snowflake, AWS, and Databricks provide auto-scaling capabilities for seamless growth
• Managed data processing services reduce operational overhead while maintaining performance
• Integration with Snowplow's event pipeline enables granular, first-party data processing with real-time capabilities

Cost-efficient scaling:

• Pay-as-you-use models ensure businesses only pay for resources they actually consume
• Automatic optimization features help maintain cost efficiency as data volumes grow
• Support for both real-time and batch processing workloads with appropriate resource allocation