PHP & Web Development Blogs

It's 2018, and you're a top-notch modern web developer, with a load of knowledge and tools right there at your disposal: Google and StackOverflow, debugger with a GUI, IDE with autocomplete, you name it. Occasionally, though, you still find yourself in a plain old text console on a remote server, or you have to do something without IDE, or there is no network connection... In such cases it might be helpful to feel comfortable in a simple terminal. In this post I'm going to list some switches for the PHP command that you can use to get information and some utilities.

Getting basic information about PHP

$ php -i
phpinfo()
PHP Version => 7.2.10-0ubuntu1

System => Linux awesome 4.18.0-10-generic #11-Ubuntu SMP Thu Oct 11 15:13:55 UTC 2018 x86_64
Build Date => Sep 13 2018 13:38:55
Server API => Command Line Interface
Virtual Directory Support => disabled
...

Full information about your PHP interpreter. Pipe the output to the Unix less command in order to get pagination and search: php -i | less. Type Q to exit the less shell. Some distros might lack less, in that case you may try php -i | more, which doesn't give you search but still has pagination.

Want a short summary of which PHP extensions you have? Just ask:

$ php -m
[PHP Modules]
calendar
Core
ctype
date
dom
ds
exif
...

More specific info about core and extensions' functions and classes

Full information about functions and classes provided by an extension:

$ php --re ds
Extension [ <persistent> extension #46 ds version 1.2.6 ] {

 - Dependencies {
 Dependency [ json (Required) ]
 Dependency [ spl (Required) ]
 }

 - Classes [11] {
 Interface [ <internal:ds> interface Ds\Hashable ] {

 - Constants [0] {
 }

 - Static properties [0] {
 }
...

Information on a specific class:

$ php --rc Ds\Vector
Class [ <internal:ds> <iterateable> final class Ds\Vector implements Ds\Sequence, Traversable, Countable, JsonSerializable, Ds\Collection ] {

 - Constants [1] {
 Constant [ public integer MIN_CAPACITY ] { 8 }
 }

 - Static properties [0] {
 }
...

Same for a function:

$ php --rf fopen
Function [ <internal:standard> function fopen ] {

 - Parameters [4] {
 Parameter #0 [ <required> $filename ]
 Parameter #1 [ <required> $mode ]
 Parameter #2 [ <optional> $use_include_path ]
 Parameter #3 [ <optional> $context ]
 }
}

Utilities

Ever found yourself creating a dummy PHP file of just a few lines - only to be run once and then deleted? The -a switch might be what you're looking for:

$ php -a
Interactive mode enabled

php > var_dump(join(", ", [1, 2, 3]));
php shell code:1:
string(7) "1, 2, 3"
php > 

It starts an interactive shell so you can type any PHP code and execute it straight away. Requires PHP to be compiled with readline support (most distros have that anyway).

Want a quick check for any parse/syntax errors in a PHP file? Use linter:

$ php -l test.php 
PHP Parse error: syntax error, unexpected 'array_shift' (T_STRING) in test.php on line 4
Errors parsing test.php

It has a web-server!

Yes! Just in case you missed it, as of PHP 5.4.0, the CLI SAPI provides a built-in web server. Want a quick look at a web page generated by an app? Here you go:

$ cd /my_application/document_root
$ php -S localhost:8000

Then open http://localhost:8000/ in your browser of choice and enjoy!

Hope you also have enjoyed this reading. Your feedback and questions are always appreciated!

Technology is constantly changing the way we interact, research, and react. One such way artificial intelligence is impacting our daily lives, and we may not even realize it is in weather forecasting.

The forecast we usually have been receiving in our phones and in older times primarily in newspapers, was based on data collected via satellites, radar system and weather balloons. In recent times there has been the addition of IoT based sensors as well. However, with the advent of Artificial Intelligence (AI) finding its way in numerous areas, AI has taken a role in improving the accuracy of weather as well.

The Dataset expansion

A significantly enormous set of data is available - from the weather satellites in space, to the private and government owned weather stations which are gaining real-time data. IBM for instance has more the 0.25 million weather stations that help IBM collect real-time data. Additionally, as we are in the age of Internet of Things (IOT), each small device to big device- cellphones, solar panels and vehicles everything has become or is yet to become yet another data source. Companies like GE have installed IOT street lights, which help in monitoring air quality and humidity. These are some of the few sources which help us in collecting the vast amount of data necessary for building on the AI technology, in future these sources and the amount of available data would grow exponentially.

Google and Weather forecast

Using the AI technology Google is able to develop a weather forecast tool, it has been trained to predict rainfalls accurately as much as six hours before. The underlying technology on which this prediction is build upon is U-Net convolutional neural network which is originally used in biomedical research. It works by taking satellite images as input and uses AI technology to transform these images into high resolution images. The only off-set is this is not real-time prediction and the delay due to complex calculations results in using six-hour old data and hence can only predict six-hours before.

IBM and its efforts in weather prediction

The quest for IBM to venture into weather forecasting began with IBM acquiring The Weather Company. IBM plans on using the large amount of weather data available coupled with IBM Watson and the cloud platform to enhance weather forecasting. In 2019 IBM developed Global High-Resolution Atmospheric Forecasting System (GRAF) in order to forecast weather conditions 12 hours prior to a greater degree of accuracy. The radius encompassed by the GRAF is also more narrowed down up to 3 kilometers as opposed to generally being 10-15 kilometers. Another of its marvel is that it gives accurate predictions down to each hour and not just daily.

Artificial Intelligence and Panasonic

Panasonic is the company behind TAMDAR, the weather sensor installed on commercial airplanes. With this advantage of extensive amount of data from in-flight sensors as well as publicly available data Panasonic developed Global 4D Weather. Proving to their claim of being the most advanced global forecasting platform globally they were able to timely predict Hurricane Irma in its early days.

Uses of Weather Forecasting

Sales

Everyday life decisions are affected by weather, it makes us choose in the way we travel, things we eat and things we buy to wear. The rise in temperature may increase sales of chilled drinks, if the company is fully aware of the forecast it would be able to manage productions as per demand. AI can help brands in maximizing sales based on weather forecasts and in minimizing waste.

Natural Disasters

The Panasonic Global 4D weather predicting Hurricane Irma is just another example where timely prediction can save millions of lives in face of situations like floods and Hurricanes. Companies like IBM combine weather forecasting data with utilities distribution network, which enables them to narrow down areas with likely outages. This enables utilities to place their workforce timely so the repair process catering to damage repairs post disasters is shortened. This in turn brings huge benefits to the overall economy.

Agriculture

The weather and agriculture have the most obvious correlation, each process in farming from sowing to reaping all depends on the weather. As farmers cultivate on huge farming lands, accurate information about each part of the land can help farmers in improving their crops and yield by manifolds. Weather conditions can lead to almost 90 percent of crop losses, 25 percent of these losses can be avoided using accurate AI prediction models to forecast weather and in turn improve the yield.

Transportation

Sea travel has always been eventful, timely prediction of storms by using machine learning techniques and hyper-local data allows companies to plan shipments accordingly and avoid severe weather conditions that usually result in delays. Tools like IBM’s Operations Dashboard for Ground Transportation equips in enhancing productivity based on weather predictions.

Another of the implementation of AI in transportation industry corelating to weather is fuel consumption. For instance, using weather prediction models to reduce airplane fuel consumption during its ascent.

To conclude Artificial Intelligence has a key role to play in weather forecasting, weather direct or indirectly impacts each sector in the economy. As the amount of information available to improve predictions increases exponentially it gives a chance to AI to improve accuracy even further. As we continue narrowing down weather conditions precise to time and location the benefits of such advancements across all industries are innumerable.

People that visit your website face an invisible threat each time they log on. Small businesses are especially vulnerable to digital data breaches, and that can change the way your customers feel about you. But, although you cannot stop hackers from trying, there are things you can do as a business owner to make your website a safer experience for everyone. Keep reading for tips.

Mature digitally.

You may be ahead of the times when it comes to products and services, but, chances are, your website hasn't fully kept up. It's time to learn all you can about the internet and digital security. If you are already somewhat tech savvy, a PHP Security Course from Nomad PHP can help you better understand everything from cryptography to website error messages.

Adapting to today's digital environment means transforming your website to quickly and easily identify threats via machine learning and network monitoring. And, as Upwork explains, digital maturity not only keeps your website safe, but adopting this mindset can also increase your efficiency and accuracy by reducing human errors.

Understand the threats.

It is not enough to simply keep up with your website, you also have to understand the types of threats that are out there. You're likely familiar with ransomware and phishing, but, it's also a good idea to know how a website can get hacked. Your site's content management system and vulnerabilities within your operating system are all weak points that hackers can easily identify.

Insist on security measures.

When customers log into your website, they input their credentials. Each time they do so, you can best protect their information by keeping your systems up to date. You'll also want to ensure that your site is hosted on a secure service and that you have an SSL certificate installed.

If you are not already, have your IT department or managed IT services perform regular website security checks. PhoenixNAP, an IT services provider, notes that those websites working via WordPress should also be safely outfitted with the most recent security plug-ins.

Eliminate spam.

If your website allows for comments that are not manually approved, anyone on the internet can post. This leaves it open for hackers and other unscrupulous individuals to comment with spam and malicious links that your customers may inadvertently click on. While many of these simply exist as a way for the commenter to drive traffic to another website, others are designed to draw your readers' attention, gain their trust, and access their personal information.

Prioritize passwords.

Your customers' passwords are the keys by which they open the door to your website. Unfortunately, many people do not treat them with as much care as they do the keys they use in the non-digital world.

It's true, passwords can be a pain, but you are not doing yourself or your customers any favors by allowing simple one-word passcodes to access your site. Instead, design your site to require a strong password. How-To Geek asserts that this will have a minimum of 12 characters and include a combination of upper and lower case letters, symbols, and numbers.

While you will likely rely on your IT experts to secure your website, the truth is that it is ultimately up to you to ensure this is done. So even if you are not a digital mastermind, knowing all you can about web security can help you be a better business owner. Your customers will be safer, and a secure website is just one way to strengthen your business's online presence and keep up with today's -- and tomorrow's -- technology.

In the realm of web development, the Model-View-Controller (MVC) architectural pattern stands as one of the most influential paradigms. It provides a structured approach to designing web applications, promoting modularity, scalability, and maintainability. In this guide, we'll delve into the MVC framework in PHP, exploring its key components, principles, and benefits.

Understanding MVC Architecture:

MVC separates an application into three interconnected components, each with its distinct responsibility:

Model: The model represents the application's data and business logic. It encapsulates the data structure, database interactions, and validation rules. In MVC, the model is responsible for managing data persistence and state.

View: The view is responsible for presenting data to the user in a visually appealing format. It encompasses the HTML markup, CSS styling, and client-side scripting necessary to render the user interface. Views are typically passive components that receive data from the controller and display it to the user.

Controller: The controller acts as an intermediary between the model and the view. It processes user requests, invokes the appropriate methods in the model to retrieve or manipulate data, and selects the appropriate view to render the response. Controllers handle user input, orchestrate business logic, and coordinate the flow of data between the model and the view.

Implementing MVC Framework in PHP:

PHP offers a robust foundation for building MVC-based web applications. Let's explore how to implement each component of the MVC pattern in PHP:

Model:

In PHP, models typically represent data entities and interact with the database. They encapsulate data access logic and provide methods for querying, inserting, updating, and deleting records. Here's a simplified example of a model class:

class User { 
 public function getUserById($userId) { 
 } 

 public function updateUser($userId, $userData) { 
 }

}

View:

Views in PHP are responsible for generating HTML markup to render the user interface. They receive data from the controller and use it to dynamically generate the content displayed to the user. Views can include HTML templates with embedded PHP code or utilize template engines for better separation of concerns. Here's a basic example of a view:

<!DOCTYPE html>

<html>

<head> <title>User Profile</title>

</head>

<body> <h1>Welcome, <?php echo $user['username']; ?>!</h1> <p>Email: <?php echo $user['email']; ?></p>

</body>

</html>

Controller:

Controllers in PHP handle user requests, process input data, and interact with models to retrieve or manipulate data. They select the appropriate view to render the response and pass data to the view for presentation. Controllers are responsible for defining application routes and managing the overall application flow. Here's an example of a controller method:

class UserController { 
 public function profile($userId) { 
 $userModel = new User(); 
$userData = $userModel->getUserById($userId); 

include 'views/profile.php'; 
 }
}

Benefits of MVC Framework in PHP:

Separation of Concerns: MVC promotes a clear separation of concerns, making it easier to manage code complexity and maintainability.

Modularity: Components in MVC are modular and reusable, allowing developers to build and extend applications more efficiently.

Testability: With distinct components, it becomes easier to write unit tests for models, views, and controllers independently.

Scalability: MVC facilitates the scalability of web applications by enabling developers to add new features or modify existing ones without impacting other parts of the system.

Conclusion:

The MVC framework in PHP provides a robust architectural pattern for building scalable and maintainable web applications. By separating concerns into models, views, and controllers, developers can organize code more effectively, enhance testability, and streamline the development process. Whether you're building a simple blog or a complex enterprise application, leveraging the MVC pattern in PHP can significantly improve the quality and maintainability of your codebase.

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.