Implements high-performance load testing and scaling strategies for enterprise-grade Customer.io integrations.
This skill provides a comprehensive framework for preparing Customer.io integrations for high-volume enterprise workloads. It includes automated k6 load testing scripts, Kubernetes horizontal pod autoscaling (HPA) configurations, and robust architectural patterns such as Kafka-based message queue buffering, rate limiting with Bottleneck, and batch processing to handle millions of events per day while staying within API limits.
Key Features
01Advanced rate limiting using the Bottleneck library
02Automated k6 load testing scripts for identify and track events
03Kafka-based message queue architecture for event buffering
040 GitHub stars
05Kubernetes HPA configurations for dynamic worker scaling
06High-throughput batch processing logic for API optimization
Use Cases
01Preparing marketing infrastructure for high-traffic product launches
02Scaling Customer.io integrations to handle over 10 million events daily
03Stress testing API resilience and throughput in staging environments
