A package for easy collection and reporting of system and process metrics.
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@push.rocks/smartmetrics

easy system metrics

Install

To include @push.rocks/smartmetrics in your project, you need a Node.js environment with support for ES Modules. Make sure that your package.json contains "type": "module". You can install @push.rocks/smartmetrics using npm:

npm install @push.rocks/smartmetrics --save

Or using yarn:

yarn add @push.rocks/smartmetrics

Usage

The @push.rocks/smartmetrics package provides an easy way to collect and monitor system metrics such as CPU and memory usage within your Node.js applications. It's built with TypeScript, offering type safety and IntelliSense in editors that support it.

Getting Started

Before diving into the code, ensure you have @push.rocks/smartmetrics installed in your project and your environment is configured to use ES Modules (ESM) and TypeScript.

Initialization

To begin using smartmetrics, you need to import the module and initialize it:

// Import dependencies
import { SmartMetrics } from '@push.rocks/smartmetrics';
import { Smartlog } from '@push.rocks/smartlog';

// Setup a logger (or use your existing logger if applicable)
const logger = new Smartlog({
  logContext: 'applicationName',
  minimumLogLevel: 'info',
});

// Initialize smartmetrics with the prepared logger
const smartMetrics = new SmartMetrics(logger, 'sourceName');

In this snippet, Smartlog is used for logging purposes. Replace 'applicationName' and 'sourceName' with appropriate values for your application.

Starting Metrics Monitoring

With smartMetrics initialized, you can start the metrics monitoring process:

smartMetrics.start();

This starts the collection and monitoring of various system metrics. By default, smartMetrics sends heartbeat messages including these metrics at a regular interval.

Metrics Collection

To manually collect metrics at any point, you can call the getMetrics method. This could be useful for logging or sending metrics to a monitoring tool:

async function logMetrics() {
  const metrics = await smartMetrics.getMetrics();
  console.log(metrics);
}

logMetrics();

Customizing Monitoring

The start method begins an unattended process of collecting and logging metrics. If you require more control over how and when metrics are collected or reported, you can use the getMetrics method in combination with your logic.

Stopping Metrics Monitoring

To stop the automatic metrics monitoring, simply call:

smartMetrics.stop();

This stops the internal loop that periodically collects and logs metrics. It's useful for clean shutdowns of your application or when metrics monitoring is only needed during specific intervals.

Understanding the Metrics

The getMetrics method returns a snapshot of various system metrics, including CPU and memory usage. Here's a brief overview of the information provided:

  • process_cpu_seconds_total: Total CPU time spent by the process.
  • nodejs_active_handles_total: Number of active handles.
  • nodejs_active_requests_total: Number of active requests.
  • nodejs_heap_size_total_bytes: Total size of the heap.
  • cpuPercentage: Overall CPU usage percentage.
  • cpuUsageText: Readable string representation of CPU usage.
  • memoryPercentage: Percentage of memory used.
  • memoryUsageBytes: Total memory used in bytes.
  • memoryUsageText: Readable string representation of memory usage.

Conclusion

@push.rocks/smartmetrics offers a straightforward and efficient way to monitor essential system metrics of your Node.js application. By integrating it, you gain valuable insights into the performance and health of your system, aiding in diagnosis and optimization efforts.

This repository contains open-source code that is licensed under the MIT License. A copy of the MIT License can be found in the license file within this repository.

Please note: The MIT License does not grant permission to use the trade names, trademarks, service marks, or product names of the project, except as required for reasonable and customary use in describing the origin of the work and reproducing the content of the NOTICE file.

Trademarks

This project is owned and maintained by Task Venture Capital GmbH. The names and logos associated with Task Venture Capital GmbH and any related products or services are trademarks of Task Venture Capital GmbH and are not included within the scope of the MIT license granted herein. Use of these trademarks must comply with Task Venture Capital GmbH's Trademark Guidelines, and any usage must be approved in writing by Task Venture Capital GmbH.

Company Information

Task Venture Capital GmbH
Registered at District court Bremen HRB 35230 HB, Germany

For any legal inquiries or if you require further information, please contact us via email at hello@task.vc.

By using this repository, you acknowledge that you have read this section, agree to comply with its terms, and understand that the licensing of the code does not imply endorsement by Task Venture Capital GmbH of any derivative works.