Client Overview
A food delivery platform based in the UAE offers customers a convenient way to order food through mobile applications, supported by backend systems for order management, data analytics, and administrative functions. With increasing demand, the platform encountered performance challenges that slowed response times, increased server load, and affected overall customer satisfaction.
- Services: Testing
- Client: AlSaree3
- Location: UAE
- Year: 2024
Challenge
The platform required performance optimizations to address:
Scalability and Responsiveness
High CPU and memory usage were causing slowdowns, with some API responses taking up to 20 seconds.
Backend Efficiency
Inefficient database queries and redundant API calls overloaded servers, slowing down order processing.
Infrastructure Optimization
Over-reliance on current server setups led to resource inefficiencies.
API Security and Reliability
Some critical API calls lacked authentication, creating data security risks.
Solution
Duture conducted a thorough performance review to identify bottlenecks in the platform’s code, architecture, and infrastructure. Key improvements included:
1. Optimized Database Queries and Indexin
Index Implementation
To prevent inefficient COLLSCAN operations, Duture implemented indexes for frequently queried fields, significantly improving retrieval times.
Sharding and Read Preferences
Database performance was enhanced through sharding and setting up a read-only connection, which offloaded work from primary nodes and improved data availability for read operations.
2. Efficient Data Handling and API Optimization
Lean Query Methods
Duture introduced the Mongoose “lean” method to reduce memory usage and improve query speed by returning simple JavaScript objects instead of Mongoose Documents.
Reduced Data Payloads
APIs were optimized to return only necessary data fields, reducing response times and network bandwidth use.
3. Frontend Optimization and Local Storage Utilization:
API Call Reduction
Duture reduced redundant API calls and implemented token-based authentication, which decreased server load and improved response times.
Local Storage Utilization
Frequently accessed data was stored locally, reducing the number of server requests and enhancing speed.
4. Server and Infrastructure Adjustments
Autoscaling Implementation
Autoscaling was enabled to manage demand surges dynamically, ensuring reliability and cost-efficiency.
Connection Pooling
Duture implemented connection pooling to improve database efficiency.
Server Relocation
Servers were relocated closer to the primary user base, reducing response times from 100-180ms to below 50ms.
Results and Benefits
These optimizations led to:
Faster Response Times
API responses improved from 20 seconds to under 1 second, significantly enhancing user experience.
Scalability and Reliability
Dynamic resource allocation maintained consistent performance during peak demand.
Enhanced Security and Stability
Improved API security reduced data risks, and autoscaling minimized downtime.
Cost Savings
Optimized resources and server configurations lowered operational expenses.
Conclusion
Duture’s targeted optimizations significantly improved the platform’s scalability, response times, and security. This case showcases Duture’s expertise in optimizing performance for high-demand platforms, enabling the UAE-based food delivery platform to meet growing customer needs efficiently and reliably.
