Code Optimisation Questions Medium
There are several common performance issues that can be addressed through code optimization. Some of these issues include:
1. High CPU usage: Code optimization can help reduce excessive CPU usage by identifying and eliminating unnecessary computations, loops, or recursive calls. It involves improving algorithms, reducing redundant calculations, and utilizing more efficient data structures.
2. Memory leaks: Code optimization can help identify and fix memory leaks, which occur when memory is allocated but not properly deallocated, leading to memory exhaustion. By ensuring proper memory management, such as deallocating unused objects or variables, memory leaks can be minimized or eliminated.
3. Slow execution time: Code optimization can improve the overall execution time of a program by identifying and optimizing bottlenecks. This can involve optimizing database queries, reducing disk I/O operations, or improving algorithm efficiency.
4. Excessive network usage: Code optimization can help reduce network usage by minimizing unnecessary data transfers, compressing data, or implementing caching mechanisms. This can lead to faster response times and reduced network latency.
5. Inefficient resource utilization: Code optimization can help improve resource utilization, such as CPU, memory, or disk usage. By optimizing resource-intensive operations, such as file I/O or database access, the overall performance of the system can be enhanced.
6. Poor scalability: Code optimization can address scalability issues by identifying and resolving performance bottlenecks that limit the system's ability to handle increasing workloads. This can involve optimizing parallelism, load balancing, or implementing caching and queuing mechanisms.
Overall, code optimization plays a crucial role in improving the performance of software systems by addressing common issues related to CPU usage, memory leaks, slow execution time, excessive network usage, inefficient resource utilization, and poor scalability.