Application performance is usually determined by the user and thus it is important to find out the metrics of the server in order to find out the bottlenecks. Apart from adapting load in order to optimize resource allocation, it also might be necessary to scale the infrastructure. It is imperative to deploy different forms of caching in order to reduce the burden on the servers and improve the speed of responses. It is essential to carry out timely upgrades of devices and software to enhance the effectiveness of operations. There are also problems that must have a solution in advance, so performance must be monitored all the time.

Use real time and Historic monitoring/ analysis and then Monitor server performance (can use Grafana, Datadog etc). Analyze and try to join dots using time, size, dates etc) logs to identify bottlenecks/ High usages. Pinpoint root causes (application, database, hardware, or network) on a broader aspect. Check if Caching is an option for any Db queries and app based loads. Optimize queries, indexing can be done. Review if changes as suggested made any difference in performance. Review Architecture, Check source codes for the inefficient code/ algorithms and rewrite the code (If necessary).

The fastest way to deal with the problem is scaling CPU and RAM of your servers, so that your clients wouldn't feel the problem. As this strategy would cost your company extra money, the second step would be identifying the points of your services that is most consuming resources. It's important to have APM tools monitoring your applications to help you with this step. Once you find the most consuming services, you have to analyse how It would be possible to improve the solution. Some common approaches are: - Caching - Indexing - Using better data structures