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Addressing Web Application Performance Issues

With the use of hybrid technologies and distributed components, the applications are becoming increasingly complex. Irrespective of the complexity, it is quite important to ensure the end-user gets an excellent experience in using the application. Hence, it is mandatory to monitor the performance of an application to provide greater satisfaction to the end-user. Read this blog published by the leading ai automated root cause analysis solution provider in the USA, ZIF.AI

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Addressing Web Application Performance Issues

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  1. Addressing Web Application Performance Issues The hybrid technologies and distributed components are making the applications increasingly complex, irrespective of the complexity, it is quite important to ensure the end-user gets an excellent experience in using the application. Hence, it is mandatory to monitor the performance of an application.Read this blog extract by the leading digital transformation company in the USA, ZIF.AI. External factors •Is there always any performance issue or just during a specific period? •Whether a particular user or group of users face the issue or is the problem omnipresent for all the users? •Are you treating your production environment as real production environment or have you loaded it with applications, services, and background processes running? •Was there any recent release to any of the application stack how was the performance before this release? •Have there been any hardware or software upgrades recently? Action items on the ground •Look at the number of incoming requests •Identify how many requests are delaying more than a usual level •Is the load getting generated by a specific or group of users? •Look at the web pages/methods/functions in the source code which are taking more time. •Identify whether any 3rd party links or APIs which are being used in the application is causing slowness. •Check whether the database queries are taking more time.

  2. •Identify whether the problem is related to a certain browser. •Check if the server side or client side is facing any uncaught exceptions which are impacting the performance. •Check the performance of the CPU, Memory, and Disk of the server(s) in which the application is hosted. •Look at the web server performance •Check for deadlock, buffer hit ratio, IO Busy, etc. Challenges •Even if the data is collected, correlating them to arrive at the exact root cause is not an easy task •You need to be tech savvy across all layers to know what parameters to collect and how to collect ZIF APM, AI for application monitoring has more to offer than other regular APM. The APM Engine has built-in AI features, monitors the application across all layers, starting from end-user, web application, web server, API layers, databases, underlying infrastructure that includes the OS and performance factors, irrespective of whether these layers are hosted on cloud or on-premise or both Once the APM Engine is installed/run on portfolio servers, the build-in AI engine does the following automatically: •Monitors the performance of the application (Web) layer, Service Layer, API, and Middle tier and Maps the insights from User <–> Web <–> API <–> Database for each and every applications – •Traces the end-to-end user transaction journey for all transactions •Monitors the performance of the 3rd party calls •Monitors the End User Experience through RUM (Real User Monitoring)

  3. Key Features and Benefits •All-in-One •End-user experience (RUM) •Anomalies detection •Code-level insights •3rd Party and DB Layer visibility •AHI •Pattern Analysis •GTrace •JVM and CLR •LOG Monitoring •Problem isolation

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