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RoboMetrics

RoboMetrics is a tool developed to messure system usage in a distribuited manner. Is a Python library for measuring system resources. Specially focused on CPU, Memory and GPU usage. It is designed to be used in a wide range of applications, from monitoring system resources to testing and benchmarking. image

Goals of RoboMetrics:

  • Provide a simple way to measure resources without losing data in the process.
  • Be able to measure resources in real-time.
  • Interconnect workers in a network.

https://github.com/RoBorregos/robometrics

Installation

To install the client install it via pip:

pip install roborregos-metrics-client

To install the server: 

pip install roborregos-metrics-server

Architecture

RoboMetrics is designed to be modular, extensible and distributed. It is composed of four main components:

  • Process: This represent your normal Python/C++ process/application. Inn order to measure its resources, you only need to import the robometrics.lib.register module and call register.
from robometrics.lib.register import Register

Register.async_auto_register() # Recomended for non-blocking calls

Register.auto_unregister()
  • Workers: The worker is a module made to run in the background in a host machine. The worker is responsible for collecting data from the registered processes and sending it to the intake server (or in its defect, save the data locally).

To start a worker, you only need to run the entry point robometrics.worker.worker.

robometrics-worker
  • Intake Server: The intake server is a server that receives data from the workers and stores it in a database. The server is responsible for managing the data and providing an API to access it.

The current implementation relies on a mongo database, but can be worked towards a more general solution. There is a docker-compose file that can be used to start the db.

To start the server, you only need to run the entry point robometrics.server.server.

robometrics-server
  • RoboMetrics-Viz: The visualization module is a web application that connects to the intake server and displays the data in a user-friendly way. The web application is built using Next.js and Vega-Lite.

Refer to the viz repo: RoboMetrics-Viz

Architecture

Recomendations

The modules are pretend to used in a robotics enviroment or a distributed system. This way each host sould be responsible to run a worker and a process. The intake server can be run in a central server or in a server that is always on. (Other alternative is to run the worker and process without a central server and run robometrics-sync to sync the data to a central server)