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pls explain perfomence testing and strees testing load
testing
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Answer Posted / himanshu
Performance tests can be broadly classified in to
Load tests
Stress tests
Endurance tests
Spike tests
Capacity testing
Load test
Load tests are performance tests which are focused on
determining or validating performance characteristics of
the product under test when subjected to workload models
and load volumes anticipated during production operations.
What are the benefits?
Helps
Evaluate the adequacy of a load balancer.
Detecting functionality errors under load.
Determine the scalability of the application OR for
capacity planning purposes as the need may be.
What risks does it address?
How many users can the application handle before “bad
stuff” happens
How much data can my database/file server handle?
Are the network components adequate?
Stress test
Performance tests focused on determining or validating
performance characteristics of the product under test when
subjected to workload models, and load volumes beyond those
anticipated during production operations.
These tests are all about determining under what conditions
an application will fail how it will fail and what
indicators can be monitored to warn of an impending
failure.
What are the benefits?
Helps
Determining if data can be corrupted by over stressing the
system
Estimating how far beyond the target load an application
can go before causing failures and errors in addition to
slowness
Establishing application monitoring triggers to warn of
impending failures
Ensuring that security holes are not opened up by stressful
conditions.
Determining the side effects of common hardware or
supporting application failures.
What risks does it address?
What happens if we underestimated the peak load?
What kind of failures should we plan for?
What indicators should we be looking for to intervene prior
to failure?
Endurance test
A performance test focused on determining or validating
performance characteristics of the product under test when
subjected to workload models and load volumes anticipated
during production operations over an extended period of
time.
What are the benefits?
Helps
Slow memory leaks
Insufficient file storage capacity
Performance degradation as a result of an increased in
stored data
Overnight, automatic virus definition updates on a server
causing performance degradation
What risks does it address?
Will performance be consistent over time?
Are there slow growing problems that we haven’t detected?
Is there external interference that we didn’t account for?
Spike test
A performance test focused on determining or validating
performance characteristics of the product under test when
subjected to workload models and load volumes that
repeatedly increase beyond anticipated production
operations for short periods of time.
What are the benefits?
Helps Identify
Memory leaks
Disk I/O (thrashing)
Slow return to steady – state
What risks does it address?
What happens if we underestimated the peak load?
What kind of failures should we plan for?
What indicators should we be looking for to intervene prior
to failure?
Capacity testing
Capacity testing is related to stress testing .It
determines your server's ultimate failure point. You
perform capacity testing in conjunction with capacity
planning.
You use capacity planning to plan for future growth, such
as an increased user base or increased volume of data. For
example, to accommodate future loads you need to know how
many additional resources (such as CPU, RAM, disk space, or
network bandwidth) are necessary to support future usage
levels.
Capacity testing helps you identify a scaling strategy to
determine whether you should scale up or scale out.
What are the benefits?
Helps Identify
Provide actual data to the capacity planners to validate or
enhance their models and/or predictions.
Conduct various tests to compare capacity planning models
and/or predictions.
Determine current usage and capacity of existing system to
aid in capacity planning.
Provide usage and capacity trends of existing system to aid
in capacity planning.
What risks does it address?
Validate that capacity planning models represent reality.
Ensure capacity planning remains in sync with actual system
usage and growth patterns.
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