The communications team normally monitor the basic issues of the application server by keeping an eye on the CPU use, memory use, etc. though there are a lot of parts to the application server environment, and to understand which metric to apply for each part differentiates those environment that can effectively anticipate production. An online store, for example, can compare the money volume of a particular time segment against actual page hits to expose which page are participating in high/low money volumes.
What does application monitoring do?
It helps immediately identify the performance slowdown and resolve any application related performance problem before the user is aware of them. It can bring a good percentage reduction in the recurring of issues. This leads to better communication especially between different IT groups and their outsourcer. With faster response, more trade and revenue can be achieved. It’s very useful in effectively and efficiently troubleshooting application performance problems. It makes issues between application and network very simple and easy. It makes it simpler to detach the root cause and mention the origin of slowness of an application or the “weak-link” of the production chain. Also continuous monitoring applications can identify memory leaks and obtain intense visibility into application behavior to proactively recognize performance problems.
Practical application monitoring
There are basically two ways to approach problem solving in production environment
One is through frequent data collection through the use of application monitoring tools that provide up-to-date performance, health and status other way is through trial and error theory, often taking matter that’s available from scripts and random log records.
One of the major benefits of application monitoring is in being able to establish the historical trend of an application. Applications experience generational cycles, where each new version of an application may provide more functionality and/or fixes to previous versions. Application monitoring provides a way to test whether changes to the application have affected performance and, more importantly, how. Even after a fix to the former problem, if one experience reduced response times, one has the authority to question the implementation of the fix.
Likewise, if new features prove to be especially slower than others, one can focus the development team on understanding the differences.
Impact on worker efficiency
Downtime may hinder the productivity of your employee as well. This can be well measured while considering the wages, benefits and salaries that come to a standstill because of system downtime. Post a downtime event, investigative actions are frequently needed to rectify the damage. For instance, IT operations may work overtime to recover lost information and type in accumulated paper transactions. They intend to come up with a brand new marketing program so as to retain their customers and win them back. Thus it is always suggested to monitor the issues before hand to avoid such mishaps later.