Project that uses Fuzzy Logic to monitor a computer, analyzing CPU, Disk and Memory and outputs the healthcheck on screen with matplotlib.

The Fuzzy Logic rules are:

• If CPU is critical or MEMORY is critical is critical or DISK is critical then HEALTHCHECK is critical
• If CPU or MEMORY is high then HEALTHCHECK is degraded
• All rest then HEALTCHCHECK is normal

The thresholds of each variable is:

• monitor.py: process responsible for gathering computer data (cpu, memory and disk usage). Group these informations and save them on file on format: TIMESTAMP;DISK;CPU;MEMORY to be read after by the process fuzzy.py.
• fuzzy.py: Read data from monitor.py process, fuzzify, generate and update the environment healthcheck chart.
• load\_cpu.py: Process that load CPU, simulating a situation of high processing usage.
• load\_memory.py: Process that load memory, simulating a situation of high memory usage.

• (Optional) Create a virtual environment with virtualenv (first install it with pip install virtualenv, execute virtualenv venv then activate it with source venv/bin/activate)
• Install dependencies with pip install -r requirements.txt

• scikit-fuzzy: Collection of algorithms to use fuzzy logic on Python.
• numpy: Scientific Computing library.
• psutil: Process and System Utilities - Library to gather process and computing resources information and utilization.
• matplotlib: Library to generate charts

There is a Setting class on settings.py that controls some of the application configurations. They are the following:

• DISK_USAGE_THRESHOLD = (int): Threshold just to colorize the disk column on monitor.py to red when (int) value is reached.
• MEMORY_USAGE_THRESHOLD = (int): Threshold just to colorize the memory column on monitor.py to red when (int) value is reached.
• CPU_USAGE_THRESHOLD = (int): Threshold just to colorize the cpu column on monitor.py to red when (int) value is reached.
• DUMMY_DISK_USAGE = (bool): Boolean that tells the application to use the real disk usage or use a random value (as rising the disk usage is complex, it's easier to just use a random number).
• MONITORING_PERIOD_IN_SECONDS = (float): Cycle to gather computer data.
• PLOT_PERIOD_IN_SECONDS = (int): Cycle to show the chart on screen.

To execute the whole project:

• First, execute the code monitor.py to read your computer data
• Then, execute fuzzy.py to generate the resulting charts of luzzy logic
• (Optional) To rise the CPU load, execute load_cpu.py
• (Optional) To rise the memory load, execute load_memory.py