Web Applications Performance Bottlenecks
Application architecture is formed by several components and there could be dozens of bad performance symptoms in each component. Being a good performance tester, one must know the list of performance symptoms on each tier to diagnose bottlenecks effectively.
Below is the detailed list of symptoms of each of the web applications 3-tier component.
Below is the detailed list of symptoms of each of the web applications 3-tier component.
Network Performance Bottlenecks
Network bottlenecks contribute very little however they are important enough to be discussed in detail because you cannot afford minor issues as well because they can lead to disasters. Following are the major network performance symptoms in context of 3-tier web applications,
Network performance bottlenecks don’t have any certain source. Load balancing, security and network architecture can be the major sources. Below pie chart depict percentage of each source to illustrate their impact on performance bottlenecks.
- Load balancing ineffectiveness
- Network interface card insufficient/poor configuration
- Very tight security
- Inadequate over all bandwidth
- Pathetic network architecture
Network performance bottlenecks don’t have any certain source. Load balancing, security and network architecture can be the major sources. Below pie chart depict percentage of each source to illustrate their impact on performance bottlenecks.
Web Server Performance Bottlenecks
Like network performance bottlenecks, web server bottlenecks don’t have major contribution to the performance issues as well. Web servers act as a liaison between client and processing servers (application and database). So web server performance bottlenecks need to be addressed properly since they can affect other components performance to great extent.
Below is the list of bottlenecks which can affect web server performance,
- Broken links
- Inadequate transaction design
- Very tight security
- Inadequate hardware capacity
- High SSL transactions
- Server poorly configured
- Servers with ineffective load balancing
- Less utilization of OS resources
- Insufficient throughput
Secure transactions has major contribution to web server performance bottlenecks however usually it is load balancing as well and sometimes high resource specialized functions cause web server performance. Below is the graphical representation of each web server performance bottlenecks with percentage.
Application Server Performance Bottlenecks
Business logic of an application resides on the application server. Application server hardware, software and application design can affect the performance to great extent. Poor application server performance can be a critical source of performance bottlenecks.
Below is the list of application server bad performance causes,
- Memory leaks
- Useless/inefficient garbage collection
- DB connections poor configuration
- Useless/inefficient code transactions
- Sub-optimal session model
- Application server poor configuration
- Useless/inefficient hardware resources
- Useless/inefficient object access model
- Useless/inefficient security model
- Less utilization of OS resources
Object caching, SQL and database connection polling are the main causes of application server bottlenecks and they contribute 60% to the application server. 20% of the times inefficient application server causes poor performances.
Below is the complete detail of application server bottlenecks with their impact.
Database Server Performance Bottlenecks
Database performance is most critical for application performance as this is the main culprit in performance bottlenecks. Database software, hardware and design can really impact the whole system performance.
Following is the comprehensive list of database poor performance causes,
- Inefficient/ineffective SQL statement
- Small/insufficient query plan cache
- Inefficient/ineffective SQA query model
- Inefficient/ineffective DB configurations
- Small/insufficient data cache
- Excess DB connections
- Excess rows at a time processing
- Missing/ineffective indexing
- Inefficient/ineffective concurrency model
- Outdated statistics
- Deadlocks
Bad SQL and indexes contributes nearly 60% to the database server performance bottlenecks. Below chart will show complete detail of database server causes with percentage.
Client Side Performance Bottlenecks
The client side performance aspects as undercome an increased interest in the last years with the release of Google performance optimization best practices like caching, lesser number of static files, file minification, compression, java script processing time, page rendering, etc.
For rich internet applications with lots of images, videos, etc, the client side aspects have a bigger bearing on the actual response time when compared to the server side response time and should be given due importance.
Using many modern AJAX architectures, it is possible to place so much code in the client that a significant amount of time is required before the request is transmitted to the application server. This is particularly true for underpowered client machines with inadequate memory and slow processors.
For rich internet applications with lots of images, videos, etc, the client side aspects have a bigger bearing on the actual response time when compared to the server side response time and should be given due importance.
Using many modern AJAX architectures, it is possible to place so much code in the client that a significant amount of time is required before the request is transmitted to the application server. This is particularly true for underpowered client machines with inadequate memory and slow processors.
Top 10 client side performance symptoms:
- Slow CSS Selectors on Internet Explorer
- Slow executing external services
- Multiple CSS Lookups for same object
- Extensive XHR Calls
- Large DOM
- Expensive DOM Manipulations
- Extensive Visual Effects
- Extensive JavaScript files
- Extensive Event Handler Bindings
- Too fine granular logging and monitoring
Third Party Services Performance Issues
Today web applications heavily relay on third party components which affect the page loading and result in bad user experience. It is a common practice that third party tools are not properly analyzed from performance point of view before integrating them into the application. If you ever observed the page components load time, you would have experienced that third party components take more time. These third party components can cause various performance bottlenecks but following are the most common,
- Size of page increases
- Third party services utilize more bandwidth utilization
- Not decreased resources
- Inadequate response time of third party component provider
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