The latest
software applications need to be compatible across a plethora of digital
platforms. These include devices, operating systems, browsers, frameworks,
third-party APIs, and networks. However, the success of such applications can
only be ensured if they are able to function seamlessly across the
above-mentioned digital elements or channels for peak load conditions. In other
words, the applications should perform accurately and without any issues
(latency, downtime, etc) should they be subjected to specific load patterns.
However, to ensure the software performs to its optimum capacity when faced
with extreme loads, it should undergo load testing.
What is
load testing?
As
non-functional testing, it is carried out to find out the behavior of a
software application under specific load threshold. A software application load
testing helps to determine a system’s behavior during normal and peak traffic
conditions. For example, during Black Friday sales in the West, people throng
retail or eCommerce stores in droves. And unless these systems have undergone load testing, they
can get overwhelmed leading to system latency, downtime, or worse, crashes.
This type of application performance testing is meant to check an application’s
performance in the event of a large number of users trying to access it at the
same time.
What does
application load testing tell us?
The
following outcomes can be determined by subjecting an application to load
testing.
·
Identify if the hosting infrastructure is sufficient to run
the application.
·
Find if the application is able to perform to its optimum
when subjected to its peak user load.
·
Verify the number of simultaneous users the application can
handle. Also, evaluate the hardware configuration, network capacity, and other
considerations the application may require to function optimally.
·
Identify the specific element in the application that is
causing the deterioration in performance. For example, in the event of an
increase in user count, the testing would throw light on the quantum of memory
and processor usage, and response time for network bandwidth.
Benefits of
load performance testing
To ensure
software applications perform to their optimum when maximum number of users try
to access them at the same time, they should undergo rigorous load testing. The
benefits to accrue from such a type of performance testing include:
Stimulation
of real-time user scenarios: It is important to know how an application, website, or API
shall behave when accessed by a large number of users at a given point in time.
It is needed to prevent situations like system latency, downtime, or crashes,
which have the potential to mar customer experience and confidence. Simulating
real user scenarios can help in identifying bugs or understanding bottlenecks
that may impact the application when put to real use.
Measurement
of the quality of product or service: Application performance
testing measures the quality of a product or service as per the user
behavior. Testers using tools like LoadRunner, Blitz, BlazeMeter, CloudTest,
and Apache JMeter evaluate an app or website’s performance under actual load
conditions. Also, the testing exercise monitors the throughput of servers,
memory, CPU, and other hardware elements when subjected to extreme load
thresholds.
Analysis of
key performance parameters: Testers, through application load testing, can identify a
slew of performance parameters. These include throughput, response time per
transaction, delay in network between server response and client request, or
design issues. Further, configuration issues like database server, application
server, web server, memory limitation, and CPU maximization are identified.
Improved
scalability: This type
of performance testing helps testers to find out the actual quantum of load
that an application, web portal, or server can support. The information can be
of great help when developers need to scale up the infrastructure as per the
changing business demand. Besides, in order to preempt special load scenarios
like Black Friday, music festivals, or sporting events witnessing a surge in
traffic, testers can perform special load testing.
Prevention
of application failure: Any application may contain a hidden glitch, which, if not
identified and mitigated in time, can lead to its failure. Such failures can
manifest themselves when the load is beyond the capacity of the application to
handle. This is where load testing can help by detecting such issues early on
in the SDLC. If not, such failures can incur huge costs for organizations and
impact their brands adversely.
Conclusion
Load
testing can help an organization to evaluate the capacity of an application or
website. It ensures user satisfaction in the case of a surge in traffic and
renders superior performance for the software. This type of testing should be
made a part of the usual QA process to preempt software failure.
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