| name | apollo-performance-tuning |
| description | Optimize Apollo.io API performance.
Use when improving API response times, reducing latency,
or optimizing bulk operations.
Trigger with phrases like "apollo performance", "optimize apollo",
"apollo slow", "apollo latency", "speed up apollo".
|
| allowed-tools | Read, Write, Edit, Bash(gh:*), Bash(curl:*) |
| version | 1.0.0 |
| license | MIT |
| author | Jeremy Longshore <jeremy@intentsolutions.io> |
| compatible-with | claude-code, codex, openclaw |
Apollo Performance Tuning
Overview
Optimize Apollo.io API performance through caching, connection pooling, request optimization, and efficient data handling.
Prerequisites
- Valid Apollo.io API credentials
- Node.js 18+ or Python 3.10+
- Completed
apollo-install-auth setup
Instructions
Follow these high-level steps to implement apollo-performance-tuning:
- Review the prerequisites and ensure your environment is configured
- Follow the detailed implementation guide for step-by-step code examples
- Validate your implementation against the output checklist below
For full implementation details, load: Read(plugins/saas-packs/apollo-pack/skills/apollo-performance-tuning/references/implementation-guide.md)
Output
- Connection pooling configuration
- LRU cache with TTL per endpoint
- Parallel request patterns
- Query optimization techniques
- Performance monitoring setup
Error Handling
| Issue | Resolution |
|---|
| High latency | Check network, enable caching |
| Cache misses | Tune TTL, check key generation |
| Rate limits | Reduce concurrency, add delays |
| Memory issues | Limit cache size, stream results |
Resources
Next Steps
Proceed to apollo-cost-tuning for cost optimization.
Examples
Basic usage: Apply apollo performance tuning to a standard project setup with default configuration options.
Advanced scenario: Customize apollo performance tuning for production environments with multiple constraints and team-specific requirements.
