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1361 views · 8 months ago


Linux is an incredibly powerful operating system favored by developers, system administrators, and tech enthusiasts alike. Whether you're just starting your journey with Linux or looking to refresh your knowledge, understanding basic Linux commands is essential for navigating the command line interface (CLI) efficiently. In this beginner's guide, we'll introduce you to some fundamental Linux commands that will help you get started and feel more comfortable in the terminal.

Accessing the Terminal:


Before we dive into the commands, let's briefly discuss how to access the terminal on different Linux distributions:

-GNOME (Ubuntu, Fedora, Debian): Press Ctrl + Alt + T to open the terminal.

-KDE (Kubuntu): Press Alt + F2, type konsole, and press Enter.

-Command Line Interface (CLI) Only (Arch Linux, CentOS): You're already in the terminal!

Basic Navigation:

cd (Change Directory): Use cd followed by the name of the directory to navigate to that directory. For example:
cd Documents 

ls (List Files): Use ls to list the files and directories in the current directory.
ls 

pwd (Print Working Directory): Use pwd to display the full path of the current directory.
pwd 


File Management:

mkdir (Make Directory): Use mkdir followed by the name of the directory to create a new directory.
mkdir my_directory 

touch: Use touch followed by the name of the file to create a new empty file.
touch my_file.txt 

cp (Copy): Use cp followed by the source file and destination to copy files.
cp source_file.txt destination_directory/ 

mv (Move/Rename): Use mv followed by the source and destination to move or rename files.
mv old_name.txt new_name.txt 

rm (Remove): Use rm followed by the file name to delete files. Be careful as this action is irreversible.
rm unwanted_file.txt 


Working with Text:

cat (Concatenate): Use cat followed by the file name to display the contents of a file.
cat my_file.txt 

nano or vim (Text Editors): Use nano or vim followed by the file name to edit a file in the terminal.
nano my_file.txt 

grep (Global Regular Expression Print): Use grep followed by a search term and file name to search for a specific pattern in a file.
grep "pattern" my_file.txt 


System Information:

uname (Unix Name): Use uname to display system information.
uname -a 

df (Disk Free): Use df to display disk space usage.
df -h 

top or htop (Process Monitoring): Use top or htop to display real-time system resource usage.
top 


Conclusion:


Mastering basic Linux commands is the first step toward becoming proficient in using the Linux command line interface. In this guide, we've covered some essential commands for navigation, file management, working with text, and obtaining system information. As you continue to explore Linux, you'll discover a vast array of commands and utilities that can help you streamline your workflow and accomplish a wide range of tasks from the terminal. Happy command line exploring!
1812 views · 8 months ago


In today's dynamic and fast-paced world of web development, ensuring the reliability, performance, and scalability of applications is paramount. Monitoring and observability tools play a crucial role in achieving these goals by providing insights into application metrics, performance trends, and system health. Prometheus, a popular open-source monitoring and alerting toolkit, offers robust capabilities for monitoring infrastructure and application metrics. In this article, we'll explore how to leverage Prometheus with PHP to monitor, analyze, and troubleshoot PHP-based applications effectively.

Understanding Prometheus:


Prometheus is an open-source monitoring and alerting system originally developed by SoundCloud. It is designed for reliability, scalability, and extensibility, making it suitable for monitoring complex, distributed systems. Key features of Prometheus include:

Time Series Data: Prometheus collects time-series data, allowing developers to track metrics such as CPU usage, memory consumption, request latency, and HTTP response codes over time.

PromQL: Prometheus Query Language (PromQL) enables users to query and aggregate metrics, create custom dashboards, and set up alerting rules based on specific conditions.

Scalability and Reliability: Prometheus is designed to be highly scalable and reliable, supporting a distributed architecture with multiple replicas and federated setups for global monitoring.

Integrating Prometheus with PHP:


To integrate Prometheus with PHP applications, developers can utilize client libraries and instrumentation libraries that facilitate metric collection and exposition. The following steps outline the process of integrating Prometheus with PHP:

Choose a Prometheus Client Library: Select a Prometheus client library for PHP that suits your needs. Popular options include prometheus/client_php and php-prometheus/client.

Instrument Your PHP Code: Instrument your PHP application code to collect relevant metrics. This involves adding instrumentation code to track metrics such as request duration, memory usage, database queries, and custom business metrics.

Exposing Metrics: Expose the collected metrics in a format compatible with Prometheus. This typically involves exposing an HTTP endpoint (e.g., /metrics) where Prometheus can scrape the metrics using the Prometheus exposition format.

Configure Prometheus Server: Configure the Prometheus server to scrape metrics from the PHP application's endpoint. Update the Prometheus configuration file (prometheus.yml) to include the target endpoint and define any additional scraping parameters.

Example Integration:


Let's illustrate how to integrate Prometheus with a PHP application using the prometheus/client_php library:

require 'vendor/autoload.php';

use Prometheus\CollectorRegistry;
use Prometheus\Storage\APC;
use Prometheus\RenderTextFormat;

$registry = new CollectorRegistry(new APC());

$requestDuration = $registry->registerCounter('php_requests_total', 'Total number of PHP requests');

$requestDuration->inc();

$renderer = new RenderTextFormat();
echo $renderer->render($registry->getMetricFamilySamples());


In this example, we register a custom metric (php_requests_total) to track the total number of PHP requests. We then increment this metric for each request and expose the metrics endpoint using the Prometheus exposition format.

Benefits of Using Prometheus with PHP:


Real-time Monitoring: Prometheus provides real-time monitoring capabilities, allowing developers to monitor application metrics and diagnose issues promptly.

Scalability: Prometheus scales horizontally, making it suitable for monitoring large-scale deployments and distributed systems.

Alerting: Prometheus supports alerting based on predefined rules, enabling proactive monitoring and alerting for potential issues or anomalies.

Integration: Prometheus integrates seamlessly with various programming languages, platforms, and frameworks, including PHP, enabling comprehensive monitoring across the entire technology stack.

Conclusion:


Prometheus offers powerful capabilities for monitoring and observability, making it a valuable tool for developers and DevOps teams tasked with ensuring the reliability and performance of PHP applications. By integrating Prometheus with PHP using client libraries and instrumentation, developers can gain valuable insights into application metrics, troubleshoot issues effectively, and proactively respond to performance anomalies. Embracing Prometheus as part of your monitoring strategy empowers organizations to build resilient, scalable, and high-performing PHP applications in today's dynamic digital landscape.

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