Hey everyone, 
I am a big fan of DreamFactory here! I’ve been using it for a while now, and I love its flexibility and all the features it offers. However, as my application scales up, I’m noticing API performance becoming a bit of a bottleneck.
I’m reaching out to the community to see if anyone has some battle-tested strategies for optimizing API performance within DreamFactory. Specifically, I’m on the hunt for:
- Performance Boosting Tips: Any tricks or techniques you’ve used to shave milliseconds off response times would be gold!
- Caching Champions: What caching strategies have worked well for you within DreamFactory?
- Database Efficiency Experts: Any tips for streamlining database queries and minimizing load on the backend?
- Monitoring Mavens: What tools or techniques do you use to keep an eye on and analyze API performance?
I also check this: https://community.dreamfactory.com/t/what-kind-of-performance-can-i-expect-with-dreamfact
Any insights, experiences, or resources you can share would be a huge help. Thanks in advance for your support!
Looking forward to hearing your thoughts
Got it! Here’s a more concise version:
- Performance Boosting Tips
Limit Data: Use filtering, pagination, and selective fields (fields=id,name,email
) to reduce payload size.
Asynchronous Tasks: Offload heavy tasks using DreamFactory’s Job Queue.
Reduce API Layers: Simplify routes and avoid unnecessary intermediate API calls.
- Caching Strategies
Client-Side Caching: Use HTTP caching headers (Cache-Control
, ETag
) for frequently accessed data.
Server-Side Caching: Cache data with Redis or Memcached for faster responses.
DreamFactory Caching: Enable built-in API response caching for specific endpoints.
- Database Optimization
Optimize Queries: Ensure indexes on frequently queried columns and avoid unnecessary joins.
Connection Pooling: Tune persistent database connections for better throughput.
- Monitoring & Tools
DreamFactory Logs: Use built-in logging to track slow endpoints and errors.
External Monitoring: Tools like New Relic, Datadog, or Prometheus + Grafana offer deeper insights into API performance.
Rate Limiting: Use API rate limiting to avoid overloading the system.
5. General Best Practices
Load Balancing: Use a load balancer (Nginx, HAProxy) to distribute traffic across instances.
Optimize Custom Code: Keep scripts efficient to avoid slowdowns.
This should help you streamline performance as your app grows! Let me know if you need more details on any of these. 