What is the default rate limit for Customer.io?

The standard Customer.io Track and App API limit is 100 requests per second per workspace, which this skill helps you manage through rate limiting and batching.

Which load testing tools are supported?

The skill focuses on k6 for scriptable load testing but includes architectural patterns that work with Artillery or other performance testing tools.

Does this skill include batch processing?

Yes, it includes a TypeScript implementation for a BatchSender that groups events together to reduce the total number of API requests.

Can I run load tests in a production environment?

It is strongly recommended to use a staging environment and a dedicated test workspace to avoid polluting production data and hitting real-world rate limits.

How does this skill handle traffic spikes?

It provides Kubernetes Horizontal Pod Autoscaler (HPA) configurations and Kafka message queue patterns to buffer incoming events and process them asynchronously.

Customer.io Load & Scale

Name: Customer.io Load & Scale
Author: jeremylongshore

byjeremylongshore

•

983

Marketing Automation

Implements high-volume load testing and scaling architectures for Customer.io enterprise integrations.

About

This skill provides production-ready patterns for preparing Customer.io integrations for enterprise-level traffic and high-volume workloads. It includes automated k6 load testing scripts to simulate real-world traffic, Kubernetes horizontal pod autoscaling (HPA) configurations for worker services, and robust message queue architectures using Kafka. By incorporating advanced rate-limiting logic and batch processing implementations, it helps developers build resilient systems that respect Customer.io API limits while maintaining reliable throughput for millions of daily events.

Key Features

Automated k6 load testing scripts for Identify and Track events
Distributed message queue architecture patterns using Kafka
Efficient batch processing logic to optimize API request density
983 GitHub stars
Kubernetes HPA configurations for auto-scaling worker deployments
Advanced rate-limiting implementation to prevent API 429 errors

Use Cases

Migrating from synchronous event tracking to a distributed worker architecture
Preparing marketing infrastructure for massive seasonal traffic spikes
Auditing system reliability against Customer.io's per-workspace rate limits

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills customerio-load-scale

For use in Claude.ai and ChatGPT

Download Skill

GitHub