What engine performance constraints are affecting GS3 GAC system efficiency in Pakistan?

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What engine performance constraints are affecting GS3 GAC system efficiency in Pakistan?

The GS3 GAC engine often experiences performance degradation due to limited processing capacity, inefficient query handling, and lack of optimization for large datasets. High request volumes during peak hours overload the system, resulting in slow response times and timeouts. This question highlights the need for engine tuning, optimized algorithms, and scalable processing resources.

Talha Kyanii asked on 13 Dec 2025 14:36:56 pm

1 Answer

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Gari Master - on 13 Dec 2025 14:39:03 pm

GS3 GAC engine performance issues are mainly caused by limited processing capacity, inefficient database queries, and lack of system optimization. The engine is often built on legacy infrastructure that cannot efficiently handle large datasets o r high numbers of concurrent requests. During peak usage, this leads to slow response times, request timeouts, and occasional system crashes.

Another contributing factor is the absence of load balancing and caching mechanisms, which forces the engine to repeatedly process similar requests. Improving CPU/memory allocation, optimizing queries, and adopting scalable infrastructure can significantly enhance performance.