Measure and characterize the performance and resources consumption of my laptop.

COLLECTED DATA:

• Specific Services memory/cpu usage ( SERVICES List in Consts.py ) Example : SERVICES = ['chrome.exe', 'python.exe'] It is important to limit to specific services measure , Ive chosen chrome and python services because Im using them a lot. (To prevent heavy usage of all running services check.) I think most important metrics are cpu and memory usage per service, to measure real behaviour of each service and how much the service using cpu/memory of all system.

• OS System Important Metrics to check entire System:

  • CPU : Check total cpu usage.
  • Memory : Total ram memory and memory usage percentage.
  • Disk usage: Total disk space and disk usage percentage.
  • Network activity: Bytes sent and received.

Project Setup

Step 1: Clone the project

git clone https://github.com/dimag25/laptop_monitor_py.git
cd laptop_monitor_py

Step 2 : need to make sure opensearch installed & running on your machine.

• Windows : https://opensearch.org/docs/latest/install-and-configure/install-opensearch/windows/
• For other OS(mac/linux) check docs : https://opensearch.org/docs/latest/install-and-configure/install-opensearch/index/
• install requirements.txt libs:

pip install -r requirements.txt

Step 3: Run locally from any OS ( Win/Mac/Linux )

• Local Run Monitoring tool: (Runs for 60 secs with 5 secs intervals)

  python3 monitoring.py

Note:

SERVICES in Consts.py - example for Windows OS.

Output example :

  python3 test_results.py

[laptop_performance]: {'timestamp': '2024-03-25 14:10:01.297222', 'total_cpu': 26.9, 'total_memory': 93.8}
[laptop_performance]: {'timestamp': '2024-03-25 14:11:40.433905', 'total_cpu': 51.5, 'total_memory': 94.6}
[laptop_performance]: {'timestamp': '2024-03-25 14:13:20.123548', 'total_cpu': 28.9, 'total_memory': 93.2}
[laptop_performance]: {'timestamp': '2024-03-25 14:13:58.728128', 'total_cpu': 25.7, 'total_memory': 93.9}
[laptop_performance]: {'timestamp': '2024-03-25 14:26:39.743977', 'total_cpu': 46.6, 'total_memory': 92.1, 'disk_percent': 40.9, 'network_bytes_sent': 420231264, 'network_bytes_recv': 3448580572}
[laptop_performance]: {'timestamp': '2024-03-25 14:26:52.159067', 'total_cpu': 85.7, 'total_memory': 90.2, 'disk_percent': 40.9, 'network_bytes_sent': 420838209, 'network_bytes_recv': 3448613300}
[laptop_performance]: {'timestamp': '2024-03-25 14:27:03.640813', 'total_cpu': 83.8, 'total_memory': 91.8, 'disk_percent': 40.9, 'network_bytes_sent': 420885118, 'network_bytes_recv': 3448675105}
[laptop_performance]: {'timestamp': '2024-03-25 14:27:15.580165', 'total_cpu': 57.3, 'total_memory': 91.2, 'disk_percent': 40.9, 'network_bytes_sent': 420896953, 'network_bytes_recv': 3448697912}
[laptop_performance]: {'timestamp': '2024-03-25 14:27:25.358367', 'total_cpu': 71.7, 'total_memory': 85.9, 'disk_percent': 40.9, 'network_bytes_sent': 420967224, 'network_bytes_recv': 3448864473}
[laptop_performance]: {'timestamp': '2024-03-25 14:27:36.899882', 'total_cpu': 44.4, 'total_memory': 86.0, 'disk_percent': 40.9, 'network_bytes_sent': 421080930, 'network_bytes_recv': 3449489668}
[chrome.exe]: {'timestamp': '2024-03-25 14:35:07.746154', 'service_name': 'chrome.exe', 'cpu_percent': 2.8, 'memory_percent': 1.6962903801647746, 'memory_usage_mb': 136.2265625}
[chrome.exe]: {'timestamp': '2024-03-25 14:35:08.807056', 'service_name': 'chrome.exe', 'cpu_percent': 0.1, 'memory_percent': 0.26436136423110485, 'memory_usage_mb': 21.23046875}
[chrome.exe]: {'timestamp': '2024-03-25 14:35:08.840723', 'service_name': 'chrome.exe', 'cpu_percent': 0.1, 'memory_percent': 0.46446856799315916, 'memory_usage_mb': 37.30078125}
[chrome.exe]: {'timestamp': '2024-03-25 14:35:09.096886', 'service_name': 'chrome.exe', 'cpu_percent': 0.1, 'memory_percent': 0.42750175349166153, 'memory_usage_mb': 34.33203125}
[chrome.exe]: {'timestamp': '2024-03-25 14:35:19.958795', 'service_name': 'chrome.exe', 'cpu_percent': 3.3, 'memory_percent': 1.7434230686541843, 'memory_usage_mb': 140.01171875}
[chrome.exe]: {'timestamp': '2024-03-25 14:35:20.058934', 'service_name': 'chrome.exe', 'cpu_percent': 0.1, 'memory_percent': 0.24203535389401612, 'memory_usage_mb': 19.4375}
[chrome.exe]: {'timestamp': '2024-03-25 14:35:20.180685', 'service_name': 'chrome.exe', 'cpu_percent': 0.5, 'memory_percent': 0.2895085262012026, 'memory_usage_mb': 23.25}
[chrome.exe]: {'timestamp': '2024-03-25 14:35:20.218083', 'service_name': 'chrome.exe', 'cpu_percent': 0.5, 'memory_percent': 0.6489621566828705, 'memory_usage_mb': 52.1171875}
[chrome.exe]: {'timestamp': '2024-03-25 14:35:20.250249', 'service_name': 'chrome.exe', 'cpu_percent': 0.1, 'memory_percent': 0.46811660889791223, 'memory_usage_mb': 37.59375}
[chrome.exe]: {'timestamp': '2024-03-25 14:35:30.024156', 'service_name': 'chrome.exe', 'cpu_percent': 14.7, 'memory_percent': 1.942314258781321, 'memory_usage_mb': 155.984375}
[python.exe]: {'timestamp': '2024-03-25 14:35:09.160237', 'service_name': 'python.exe', 'cpu_percent': 29.6, 'memory_percent': 0.37779111609622656, 'memory_usage_mb': 30.33984375}
[python.exe]: {'timestamp': '2024-03-25 14:35:20.434147', 'service_name': 'python.exe', 'cpu_percent': 32.8, 'memory_percent': 0.3722947344663986, 'memory_usage_mb': 29.8984375}
[python.exe]: {'timestamp': '2024-03-25 14:35:31.966696', 'service_name': 'python.exe', 'cpu_percent': 33.5, 'memory_percent': 0.372732499374969, 'memory_usage_mb': 29.93359375}
[python.exe]: {'timestamp': '2024-03-25 14:35:46.916719', 'service_name': 'python.exe', 'cpu_percent': 32.8, 'memory_percent': 0.37900712973114425, 'memory_usage_mb': 30.4375}

Logs attached

File : monitoring_logs.log

Enjoy! :)