Backend performance often suffers from several critical bottlenecks. Slow database queries, often due to missing indexes or inefficient data access patterns, are a primary culprit, leading to significant delays in data retrieval. Another common issue is insufficient server resources such as CPU, memory, or disk I/O, which can overwhelm the system under heavy load. Inefficient application code, including unoptimized algorithms or excessive network calls between services, also contributes significantly to latency. Furthermore, external API dependencies can introduce unpredictable delays if third-party services are slow or unreliable. Finally, poorly configured caching strategies frequently lead to unnecessary database hits and slower response times, preventing the system from serving frequently requested data quickly. More details: https://www.pinterest.com/77gvv777/?invite_code=ce5121f612744a70928ed2c1cb0698bb&sender=1151514335882123069