Made as a part of Hackathon in College Of Management & Spot by NetApp
We were given a problem: Detect CPU anomalies from aws server and analyze them
(also dealt with SQL Injections problem)
We created an AWS machine and upload their 2 different programs
One that will demonstrate usual and normal usage
And another that will demonstrate unusual extreme usage
Using Python and BOTO3 module we communicated with the AWS server and got information about
the CPU utilization with possibilities to achieve more metrics in the future - code.
With the data came from the BOTO3 responses we created a server status.
Claim: The status calculation was based on guesses and unreliable methods
def detect(utilizations):
last = len(utilizations) - 1
# 0 usage
if utilizations[last] <= 1 and utilizations[last - 1] <= 1 and utilizations[last - 2] <= 1:
return "empty_server"
# low usage
if utilizations[last] <= 30 and utilizations[last - 1] <= 30 and utilizations[last - 2] <= 30:
return "change_server_host"
# calculate m
m = utilizations[last] - utilizations[last - 1] / utilizations[last - 1] - utilizations[last - 2]
# high m based on the prev one
if m >= 2:
return "hacked"
# low m based on the prev one
if m <= -2:
return "server_cooled_hard"
# normal
return "normal_status"Using 'Tkinter' and 'Matplotlib' modules we presented the CPU Utilization over Time together with the server status and a refresh button
