Advanced Usage Guide
Master complex patterns, custom integrations, and performance optimization for expert users.
Performance Optimization
Leverage batching, caching, and parallel processing to maximize throughput and reduce latency.
// Batch processing example
const batches = chunkData(userInput, 200);
batches.forEach(async (batch) => {
const response = await processBatch(batch);
await storeResults(response);
});
Request Batching
Group similar requests to reduce network overhead
Response Caching
Leverage 5-minute result caching for repeated queries
Custom Processing Pipelines
Build data flow orchestrations using our low-code pipeline builder.
Data Sources
Add multiple data sources
Transformers
Apply transformations
Output
Configure destinations
Security Implementation
API Keys
Best Practicecurl -X POST https://api.easyma.com/token -H 'X-API-Key: YOUR_SECRET_KEY'
IP Whitelisting
Restrict access to specific endpoints by IP ranges in your dashboard.
Rate Limiting
Our tiered rate limits help protect against DDoS and abuse.
- FREE: 1000/m
- PRO: 10,000/m
- ENTERPRISE: Custom
OAuth2 Support
For enterprise-level multi-user access control.
Advanced Features
Webhooks
Receive real-time notifications for all events across your data pipeline.
Scheduled Tasks
Automate recurring data jobs with our cron-based scheduler.
Custom Validation
Define custom rules for data validation at ingestion time.
Common Questions
How to handle 429 errors?
Use the Retry-After header to determine backoff strategy. Implement exponential backoffs with jitter for best performance.
Best caching strategies
Use our Bearer caching middleware with max-age directives for time-sensitive data. Set Vary: Accept-Encoding for compressed responses.