Slow Application Performance

🤖 AI Analysis

"The problem describes a 'significant slowdown' in application performance, affecting multiple users and specific actions like loading reports and saving data. Monitoring server resources (CPU, RAM, disk I/O) is a fundamental first step to identify if the application is being bottlenecked by the underlying hardware. This is highly relevant given the general performance degradation."

🤖 AI Analysis

"The user specifically mentioned 'loading reports' and 'saving data' as affected actions. These operations are heavily database-dependent. Reviewing database performance metrics like query execution times, index usage, and lock contention is crucial to pinpoint if the database is the source of the slowdown. This is a very strong candidate for the root cause."

🤖 AI Analysis

"Following up on the database performance, optimizing slow-running queries and ensuring proper indexing directly addresses potential bottlenecks identified in database operations like loading reports and saving data. This is a logical next step if database metrics indicate issues."

🤖 AI Analysis

"While the user stated 'other users are experiencing the same performance issues,' analyzing user activity logs can still be valuable. It might reveal if a particular *type* of report or a specific data saving pattern is causing the issue, even if it's affecting many users. It helps to narrow down the scope of the problem."

🤖 AI Analysis

"The user is 'unsure' about recent changes. Reviewing deployment logs is important because performance degradation that started 'gradually over the past week' could be a result of a recent deployment or configuration update that introduced inefficiencies or bugs. This is a good investigative step."

🤖 AI Analysis

"If reviewing deployment logs (Solution 7656) points to a recent change as the cause, then rolling back that change becomes a highly relevant solution. However, without confirmation of a recent change, this is a more reactive measure."

🤖 AI Analysis

"Network latency can impact application performance, especially for operations involving data transfer. While not as directly indicated as server or database issues by the user's answers, it's a possibility, particularly if the application involves significant client-server communication for reports or data saving."

🤖 AI Analysis

"Similar to network latency, network device health is a potential factor. However, the problem description doesn't strongly suggest a network-wide issue, and the specific actions affected (reports, saving data) lean more towards application or database bottlenecks. This is a lower priority unless other network-related symptoms appear."