In this post we'll discuss significant performance improvements made to our support ticket system. These optimizations reduce load times by 62% and improve routing accuracy for faster resolution of technical issues.
$ Performance Improvements
We implemented several key enhancements:
-
Database query optimization using indexed fields
Async task processing for request handling
Caching layer for frequently accessed data
New load balancing architecture
Performance Results
After deployment, we observed:
-
68% faster ticket creation
42% reduction in response latency
23% increase in daily active tickets
99.95% system uptime
Tip: Try filtering tickets by category to find related technical queries faster in the system.
Technical Example
// Sample query optimization
async function getTickets(filters) {
const query = buildQuery(filters);
return await executeOptimizedQuery(query);
}
System Architecture Changes
The new architecture includes:
-
Redesigned API gateway
Redis cache layer for session data
Load balancer with failover support
Database sharding strategy
Want to see improvements live? Open a test ticket and experience the new optimized system.
Future Plans
Upcoming developments include:
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Adding real-time updates via websockets
Implementing AI-powered triage
Mobile app accessibility