Performance analysis
Analysis tool for performance output generated by w3af. The input for this tool is generated using the AWS Collector.
Installation
git clone https://github.com/andresriancho/w3af-performance-analysis.git
cd w3af-performance-analysis
sudo apt-get update
sudo apt-get install cython
pip install -r requirements.txt --allow-external meliae --allow-unverified meliaeUsage
$ ./wpa ~/performance_info/master/i-e45d5fb5/
Total memory size:
0: 64.2 MiB
1: 68.2 MiB
2: 123.1 MiB
3: 665.8 MiB
Memory usage summary:
Total 8364538 objects, 286 types, Total size = 440.4MiB (461765737 bytes)
Index Count % Size % Cum Max Kind
0 2193778 26 181553569 39 39 4194281 str
1 12519 0 97231956 21 60 12583052 dict
2 1599439 19 68293428 14 75 304 tuple
3 3459765 41 62169616 13 88 20 bzrlib.StaticTuple
4 82 0 29372712 6 94 8388724 set
5 1052573 12 12630876 2 97 12 int
6 1644 0 4693700 1 98 2351848 list
7 4038 0 2245128 0 99 556 _LazyGroupCompressFactory
CPU Usage:
System load average: 1.59, 0.81, 0.75
Top10 most time consuming functions:
0: parse_foo()
1: parse_bar()
...
9: do_spam()
HTTP requests:
Total: 5030
Average RPM: 61
Top RPM: 890
Lowest RPM: 49
$The most common usage of this tool looks like this:
# Use the collector to gather some information
$ ./collect config.yml master
$ ./collect config.yml feature/performance-speedup
# In console #1
$ ./wpa ~/performance_info/master/i-e45d5fb5/
# In console #2
$ ./wpa ~/performance_info/feature-performance-speedup/i-f32dafb9/
# User compares performance results for each by putting the two consoles side by sideProcessing the performance information can take considerable time, be patient when running wpa!
Internals
This software is tightly coupled with the output of the
collector tool, if the collector
changes its output format, removes one or more of its files, etc. the wpa tool
will most likely crash or return unusable information.
The information is analyzed by various (independent) plugins which are stored
in the plugins directory. If at any point you want to add a new analysis
plugin, you'll have to create it inside the plugins module, import it from
main.py and finally add it to the list of plugins to run.
The logging module can be used by plugins to write any debugging information to
the output.
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