Scalability testing
is your answer to all misery. This defines common problems such as:
How is the server
performance when hardware and software are changed?
In that case, can we
improve system capabilities and increase productivity?
The need for testing
that can be scaled
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Why do you need a
scalability test? Well, the answer is clear. This helps you determine how your
application is done by increasing loads and helps you understand the total
number of users who can be detained. The reason behind this is to understand at
what point the system starts behind and what can be done to overcome these
challenges.
How to make a
scalability test
Scalability testing
is done by conducting a series of load tests with changes in hardware and other
software carried out while maintaining other conditions the same. It tests
various attributes as below:
System throughput
Network / memory
usage
Performance
measurement
Loading with a number
of users using the application
Screen transition
Request and response
time
Hits / Transactions
per second
Scalability tests
must be done systematically to ensure that all attributes are discussed and
data is collected. Obviously, the type of load may differ for each system
depending on the web server, the user and type of system. Think of all other
parameters that might be affected when the load increases.
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Important
requirements for doing scalability tests
Clear and compact
requirements before the test is done is a basic requirement. Pre-requirements
for scalability testing include:
Memory: evaluating
the need for memory allocation for all virtual users using the system
Processor: Check the
processor requirements before you start
Operating System:
Check which OS action as an agent and test the burden
Load distribution
capability: Make sure you have a centralized system where all the results are
collected and evaluated from several users and machines.
Steps to make a
scalability test
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1. Create and monitor
all scenarios
Try changing the
scenario and check the affected attributes due to changes
Check the scenario to
make sure they do the same way every time
Define a set of
virtual users for the testing system
Create a load test by
determining settings that allow you to evaluate application performance
Run your test
If there is a pause,
make changes to the server and run the test repeat.
Analyze test results
By running a test
case, you actually only determine 40% of your performance testing goals. The
important part of this is the analysis and improvement of results. The results
of scalability testing can be compared and analyzed in the following ways:
1. Virtual users vs
response time
Some companies set a
certain time interval, say for 2 minutes, where they increase the number of
users to load certain servers and test application behavior. In short, you will
test the application response time for a number of specific users.
2. User vs latency
This analysis is done
to check network latency where the user operates.
3. Hits vs. Users
Hit per second was
observed after 3 minutes of response and the latency time began.
4. User vs. error
The burden on the
system that causes errors and bugs is tracked to the number of certain people.
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