One question arises: Is the class stacking extremely important? Digging deeper and looking at the requests processed, it demonstrated that each request tried to stack a class that did not exist. The application server was prompting a huge amount of the ClassNotFoundException class. The main driver of the issue is that the class could never be effectively stacked, but the application server continued attempting to stack it for each request. This should not be a problem for quick and moderate requests and features. This level of detail for each incoming request or feature may clutch the rare asset—the class loader—and, accordingly, affect the response time for requests.

The ability, adaptability, and capacity of the monitoring system is to catch each and every request and response with the data on stacking classes to help recognize the symptoms. The following screenshot displays one such scenario in the application framework:

The symptoms of a potential performance issue must be clear by now. It is specifically applicable to any JVM-based web application, not only a Spring-based web application. The following screenshot shows us the pointers that would basically help us identify the impact of performance issues:

Poorly performing applications matter a lot to businesses, as they have seen dips in sales because of application performance. An application can also notice productivity or business loss because of performance issues.

Let's understand the business impact of performance issues with a basic illustration:

As we can understand from the previous diagram, bad application behavior can impact business, which can be described in either high project costs, a decrease in conversion ratios, fewer repeat visits and poor customer retention, a decline in sales, a decline in productivity, losing customers, increases in project cost, and delays or declines in profit and returns on investments. Performance matters a lot to businesses.

What do we need to do to avoid or address performance issues? Don't wait for performance issues to occur. Get architecture, design, and code reviewed, and plan out for load testing, tuning, and benchmarking in advance. Today, in the world of competitive marketing, an organization's key point is to have their system up and running with the best performance. Any failure or downtime directly impacts the business and revenue; performance of an application is a factor that cannot be overlooked. Day by day, the mountain of data is growing because of the extensive use of technology in numerous ways. Due to this, the load average is going through the roof. For some cases, it cannot be assured that data will not exceed the limit or the number of users will not go out of bounds.

At any point, we can meet unexpected demands to scale. For any organization, it is very important for its application to provide scalability, performance, availability, and security. Application scalability in terms of scaling horizontally and vertically by spreading database to cater to different application queries across multiple servers, is quite feasible. It is easy to add horsepower to the cluster to handle the load. Cluster servers instantly handle failures and manage the failover part to keep your system available almost all the time. If one server goes down, it will redirect the user's request to another node and perform the requested operation. Today, in the world of competitive marketing, an organization's key point is to have their system up and running. Any failure or downtime directly impacts business and revenue; high availability is a factor that cannot be overlooked.

The following diagram shows us some of the common performance issues that we might come across:

Now, let's move towards the phases of the performance tuning life cycle.