ps_mem: A Lightweight Tool for Accurate Memory Usage Reporting

Abdul-Munim — Mon, 16 Sep 2024 17:04:01 +0000

ps_mem: A Lightweight Tool for Accurate Memory Usage Reporting

Are you looking for a reliable way to measure the memory footprint of your programs on Linux? Look no further than ps_mem! This simple Python script provides an accurate view of a program's in-core memory usage.

What it Does

ps_mem goes beyond the basic memory information provided by tools like ps. It delves into the /proc filesystem to extract a more precise picture of memory consumption, including:

Resident Set Size (RSS): The amount of physical memory a process actively uses.
Shared Memory: Memory shared with other processes. This helps identify potential memory optimization opportunities.

Key Features

Accuracy: ps_mem leverages the /proc/$pid/smaps file for more accurate memory reporting compared to traditional methods.
Lightweight: Being a Python script, ps_mem is easy to install and use, with minimal resource overhead.
Informative Output: ps_mem displays memory usage in human-readable units (KiB, MiB, etc.) for easy comprehension.
Process Counting: It also reports the number of processes with a specific name, aiding in identifying resource-intensive applications.

Getting Started

ps_mem is available on GitHub: https://github.com/pixelb/ps_mem

Installation:

Ensure you have Python 3 installed.
Clone the repository: git clone https://github.com/pixelb/ps_mem.git
Navigate to the project directory: cd ps_mem
Run the script: python ps_mem.py

Going Further

ps_mem offers a straightforward approach to memory analysis.

For detailed information on script functionality, refer to the commit history: https://github.com/pixelb/ps_mem
If you're comfortable with Python, consider contributing to the project's development!

For a deeper dive into memory management, explore tools like top and htop for real-time monitoring, or consider profiling tools for a more comprehensive analysis.

Send Email with Zip attachment having multiple files through Amazon SES using NodeJS

Abdul-Munim — Sun, 04 Sep 2022 19:38:07 +0000

We want to send an email with the following requirements:

Email to have an Zip attachment.
Zip file containing multiple log files
Email needs to go through Amazon SES.
Implementation to be done using NodeJS

We can also zip other sources, such as files from file system or a remote file. We just have to convert it to a Buffer to zip it with AdmZip.

We will use the following NodeJS library

PS: This whole operation is done in-memory. This should not be used on large files. In such case, Stream should be used.

Below is the code:

const NodeMailer = require("nodemailer");
const AdmZip = require("adm-zip");

const createSampleZip = () => {
  const zip = new AdmZip();

  zip.addFile("file1.txt", Buffer.from("content of file 1"));
  zip.addFile("file2.txt", Buffer.from("content of file 2"));

  return zip.toBuffer();
};

const sendEmail = () => {
  var sender = NodeMailer.createTransport({
    host: "email-smtp.eu-central-1.amazonaws.com",
    port: 587,
    secure: false, // upgrade later with STARTTLS
    auth: {
      user: "<<ses-smtp-username>>",
      pass: "<<ses-smtp-password>>",
    },
  });

  var mail = {
    from: "noreply@example.com",
    to: "recipient@gmail.com",
    subject: "test email with attachment",
    text: "mail body text with attachment",
    html: "<h1>mail body in html with attachment</h1>",
    // More options regarding attachment here: https://nodemailer.com/message/attachments/
    attachments: [
      {
        filename: "zipfile.zip",
        content: createSampleZip(),
      },
    ],
  };

  console.log("starting to send email");
  sender.sendMail(mail, function (error, info) {
    if (error) {
      console.log(error);
    } else {
      console.log("Email sent successfully: " + info.response);
    }
  });
};

sendEmail();

DEV Community: Abdul-Munim

ps_mem: A Lightweight Tool for Accurate Memory Usage Reporting

ps_mem: A Lightweight Tool for Accurate Memory Usage Reporting

Send Email with Zip attachment having multiple files through Amazon SES using NodeJS