18.65M

Категория:

Программирование

Performance testing

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2
Intro
I am Maksim
Petrov
QA automation engineer

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3
Agenda
⊗ Introduction to performance testing
⊗ Performance testing fallacies
⊗ Collected metrics
⊗ Performance test tools
⊗ Example of performance test cases
⊗ Best practices
⊗

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What is performance testing?
⊗ Performance testing of defined as a type of non-functional
software testing to ensure software applications will
perform well under expected workload
⊗ The goal of performance testing isn’t to find bugs but to
eliminate performance bottlenecks
⊗ The focus of performance testing is checking a software
program’s
⊚ Speed
⊚ Scalability
⊚

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Why do performance testing?

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Benefits of performance
testing
⊗ Improve optimization and load capability
⊗ Identify discrepancies and resolve issues
⊗ Measure the accuracy, speed, and stability of the
software
⊗ Validate the fundamental features of the software
⊗ Performance Testing allows keeping your users
happy
⊗
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9.

When should you consider
performance?
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Forecasting
4
3
2
1
Deploymen
t phase
Planning
and design
phase
Production
phase
Developme
nt phase
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10
Types of performance testing

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11
Types of performance testing
⊗ Load testing
⊗ Stress testing
⊗ Stability testing
⊗ Spike testing
⊗ Volume testing
⊗ Scalability testing
⊗ Capacity testing
⊗ Recovery testing
⊗ Failover testing
⊗ Configuration
testing
⊗ Compare testing

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12
Types of performance testing
⊗ Load testing
⊗ Stress testing
⊗ Stability testing
⊗ Spike testing
⊗ Volume testing
⊗ Scalability testing
⊗ Capacity testing
⊗ Recovery testing
⊗ Failover testing
⊗ Configuration
testing
⊗ Compare testing

13.

Load
testing
(maximum
load)
load
over max
max
med
min
at rest
time
13

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14
Load
testing
load
over max
max
med
min
at rest
time

15.

15
Stability testing
load
over max
max
med
min
at rest
time

16.

Stress
testing
& recovery
testing
load
over max
max
med
min
at rest
time
16

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17
Configuration testing
load
over max
max
med
min
at rest
time

18.

Common performance
problems
⊗ Startup time
⊗ Poor response time
⊗ Poor scalability
⊗ Bottlenecking:
⊚
⊚
⊚
⊚
⊚
CPU utilization
Memory utilization
Network utilization
Operating system limitations
Disk usage
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Performance testing process
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Performance testing process
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Performance testing process
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Performance testing process
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Performance testing process
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Performance testing process
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Performance testing process
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2.
PERFORMANCE
TESTING
FALLACIES

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Performance testing fallacies

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Performance testing fallacies
⊗ Performance testing is the last step in
development
⊗ More hardware can fix performance issues
⊗ The testing environment is close enough
⊗ What works now, works across the board
⊗ One performance testing scenario is enough

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30
Performance testing fallacies
⊗ Testing each part equals testing the whole
system
⊗ What works for them, works for us
⊗ Software developers are too experienced to
need performance testing
⊗ A full load test tells everything
⊗ Test scripts are actual users

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3.
COLLECTED
METRICS

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Performance testing metrics:
parameters monitored
⊗
⊗
⊗
⊗
⊗
⊗
⊗
⊗
⊗
⊗
⊗
Processor Usage
Memory use
Disk time
Bandwidth
Private bytes
Committed memory
Memory pages/second
Page faults/second
CPU interrupts per second
Disk queue length
Network output queue
length
⊗ Network bytes total per
second
⊗ Response time
⊗ Throughput
⊗ Amount of connection
pooling
⊗ Maximum active sessions
⊗ Hit ratios
⊗ Hits per second
⊗ Rollback segment
⊗ Database locks
⊗ Top waits
⊗ Thread counts
⊗ Garbage collection
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4.
PEFRORMANCE
TEST TOOLS

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Performance test tools

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5.
EXAMPLE
PERFORMANCE
TEST CASES

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Example

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6.
BEST PRACTICES

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Best practices
⊗ Test as early as possible in development
⊗ Follow a devops approach
⊗ Consider users, not just servers
⊗ Understand performance test definitions
⊗ Build a complete performance model
⊗ Define baselines for important system
functions
⊗ Consistently report and analyze the results