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191 views · 1 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.
3916 views · 3 months ago


For any development project to be successful, it’s important to choose the right technology and programming language. Most of the time, developers get confused about which programming language to choose.

Nowadays, PHP and Python have gained popularity among the programming languages for web development projects. However, choosing one between PHP vs Python is a difficult task. Recently, this has become a good topic for discussion.

Here, in this blog, we will compare the two popular programming languages: PHP vs Python. Let’s see which one turns out to be the best choice for web development.


What is Python?

Python is an open-source programming language developed in the year 1991 by Guido Van Rossum. It is one of the most commonly used languages due to its high level and easy-to-understand syntax.

According to the survey by Stack Overflow, Python is one of the most preferred programming languages. These Python app examples highlight its robustness and suitability for building scalable and innovative solutions across different platforms. Most of the companies and developers around the world are using Python web development.

What is PHP?

PHP or Hypertext Pre-processor, is an open-source server scripting language that is used for creating interactive and engaging web pages. This programming language comes with many features, libraries, plugins, and add-ons that increase community support and functionalities.

PHP language was developed by Rasmus Lerdorf in the year 1995. Earlier, PHP was named as Personal Home Page, which was later changed to Hypertext Pre-processor. An advantage of using PHP language is it supports all web browsers.

PHP is a practical, flexible, and fast programming language that can handle dynamic content on HTML sites, session tracking, and databases.

Features: PHP vs Python

PHP

* Open-source language, anyone can download and use it for free.
* PHP is easy to use and code than other programming languages.
* It is more efficient than other scripting languages like ASP and JSP.
* Offers access to log in by creating a summary of the recent user accesses.
* Provides database integration and supports distinct databases such as MySQL and Oracle.
* It has predefined error-reporting constants that generate warning or error messages.

Python

* Python is an easy-to-learn programming language.
* Provides an ideal structure and support for large applications.
* It can operate on different hardware platforms utilizing the same user interface.
* Python can be integrated with C, C++, and Java programming code.
* It’s easy to incorporate low-level modules in Python interpreter.
* Python offers high-level dynamic types of data and support for dynamic type checking.
* Its features support automatic garbage collection.
* It supports an interactive mode of testing and debugging.


Pros and Cons: PHP vs Python

Here, we will compare the pros and cons of PHP vs python for web development.

Pros of PHP

* Has a large ecosystem.
* Flexible and platform-independent.
* Several open-source PHP frameworks are available to use for free.
* Offers many pluggable frameworks, Open-source and object-oriented.
* Supports different database interfaces such as No SQL, PostgreSQL, and so on.
* It is supported by many operating systems and works cross-platform.
* Encourages top-notch debugging.
* Provides in-built SQL support.
* Offers support for database collection modules.
* It supports all operating systems like Windows, Linux, and UNIX.

Cons of PHP

* Delayed and wired performance.
* Not apt for content-based applications.
* Utilizes weak typing that can lead to false knowledge and data to users.
* Its core behavior can’t be changed.
* There’s no IOT alliance.
* Fewer security protocols and features.

Pros of Python

* Easy to learn and maintain.
* An open-source and uniformly unfolding language.
* Enables cross-platform code reusability.
* Object-oriented and versatile language to deploy.
* Offers WORA functionality.
* Helps in developing GUI apps.
* Has automatic garbage collection.
* It can be integrated easily with other languages, such as Java or C++.
* Provides libraries like Tenseorflow for math-intensive tasks.

Cons of Python

* Creates delays in web app testing.
* It utilizes an enormous amount of memory to help developers in easy development.
* Operates slower than other web development languages.
* Not of much use in mobile computing browsers and mobile app development.
* It has dynamic typing, which makes error detection more difficult.
* It’s too large for a simple and small app or website.
* Run time errors occurs due to duck typing.

When Should You Select PHP?

PHP is a commonly used server-side scripting language among developers. The best use cases in which you should select PHP:
* For developing blogs, websites, and web applications.
* Work effectively on the server side.
* Less investment.

When Should You Select Python?

* Python programming language has gained popularity in recent times. Below we have given some of the best cases in which you should choose Python.
* For operating in the areas of robotics and data science.
* When you want accurate and extensive data analytics.
* Developing websites using the Django framework.

Why opt for PHP?

Here, we will give you some reasons why you should opt for the PHP programming language.
* Open-source language, easy to download and use.
* Easy to learn and operates effectively on the server side.
* This scripting language can run on distinct platforms such as Windows, Mac OS X, Linux, and UNIX.
* It’s compatible with every server, like IIS, Apaches, and so on.
* Supports a broad range of databases.

Why opt for Python?

As you know, there are many advantages and disadvantages of using Python. Here, we will tell you why you should choose Python for web development.
* Python language is easy to use and maintain.
* Python syntax is quick to understand and debug as well. Therefore, its source code is easier to maintain.
* It has a garbage collection feature and memory addresses accordingly.
* It comes with many pre-built libraries.
* Python supports GUI apps such as Django, Tkinter, WXPython, etc.
* It’s a versatile and portable language. You can run Python on different types of operating systems or platforms.
* Python comes with a database-friendly interface that can store a colossal amount of data for commercial DBMS systems.
* It has an interactive shell that helps in unit testing before deploying a product.

Comparison: PHP vs Python

Above, we have given the features and pros & cons of PHP vs Python. In this section, we will give you a comparison between PHP vs Python in accordance with different parameters.

Parameters
Python
PHP
Release
    .
    .
Learning curve
Easier
Steep
Language type
Specialized for web development
General purpose programming language
Syntax
Clear & concise
Complex
Security
High
Medium
Readability
High
Low
Database connectivity
Faster
Slower
Debugging
Fast
Slower
Performance
Lesser support
Faster
Supported Frameworks
Flask, Django, Web2Py
Laravel, Zend, Codelgniter
GitHub Stars
    . 9k
    . 5k
TIOBE Rating
    . st position
    . th position
Forks
    . 5 k
    . 9k
Major Users
Instagram, YouTube, Quora, Reddit
Facebook, Yahoo, Flickr, Tumblr


This comprehensive comparison between PHP vs Python can help you to choose the right language for web development. Now, we will compare some other elements that would give you a clear picture of both PHP vs Python.

1. Ease of Learning

Python is an easier language to learn compared to PHP. If you are a beginner, then Python is a good choice as you can learn it quickly. Python programs are shorter as well as easy to write in comparison to other languages.

PHP programming language is made for creating sophisticated web apps. It’s not a general-purpose language, and it takes time to learn it.

2. Ease of Use

Python is an open-source programming language that is versatile and portable. Python’s syntax is simple, and coding is easy to learn compared to PHP. But PHP is not just an ordinary programming language it’s used for creating dynamic web pages with HTML. This makes PHP more difficult to use than Python.

3. Community Support

Both PHP and Python provide good community support. PHP has been in the market for a long time and has a large community of developers. Therefore, you can immediately get support if you opt for PHP.

However, there are even many Python developers who constantly develop python apps. So, the community support in Python is also good. Consequently, we can’t say whether PHP or Python is better at providing community support.

4. Flexibility

Nowadays, web apps backed by Machine Learning are in high demand. Also, ML is a significant part of Python. Python provides many machine-learning libraries, such as Tensorflow, Theano, Pandas, and Scikit-learn. Additionally, these libraries are rapid, unique, & robust and work effectively with a web framework.

Nonetheless, Python programming language can be used in many other fields apart from web development. But when it comes to PHP, it’s best for web development. Therefore, we can say Python is a better choice here.

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5. Speed to Market

Python provides a comprehensive set of modules and third-party libraries to help developers finish the project faster. One of the popular web frameworks written in Python is Django. It utilizes the MVC pattern to allow developers to create apps fast using a significant division of concerns and reusability.

PHP also has a vast set of tools, frameworks, and libraries. Laravel is a popular PHP framework that allows the MVC pattern. Additionally, it comes with many helpful functionalities for web development, like routing, templating, authentication, and so on.

6. Web Frameworks

You get robust and well-designed web development frameworks both in PHP and Python. Most of the big businesses utilize web frameworks that PHP provides. For example, Laravel and Symfony are mature web frameworks, and a huge community supports them. So, we can say PHP makes web development easy.

Python also has many exceptional frameworks that are highly scalable, easy to use, fast and secure. It’s two most popular web frameworks are Flask and Django. If you want a shorter development period, then you can choose Django over PHP-based frameworks.

7. Library Management

Python uses Pip to handle and deal with packages. Pip ensures that Python app development is easy, rapid, and meets development needs. Python has powerful library management compared to PHP. It has a wide range of packages and tools that assist and make web app development easier. So, in terms of library management, Python clearly wins it.

8. Security

When it comes to security, most businesses prefer using Python. For instance, Django offers many pre-built security features that aid in safeguarding the apps from distinct security breaches & threats.

Apart from that, many government organizations rely on Python as their secret hacking tool. Most of the security problems are addressed by its large community support. However, PHP is less strong than Python in aspects of security.

9. Environment Management

In terms of handling environments, Python is the best programming language. It has a Virtualenv system that aids in installing different versions of the language and switching between them immediately.
PHP has no comparison with Python when it comes to handling environments. There’s an analog of PHP, VirtPHP, but it’s archived and not maintained. Therefore, most of the developers opt for Python.

10. Debugging

Python has an in-built debugger called Python Debugger or PDB. It utilizes many debugging strategies. PDB enables dynamic typing and lets developers work effortlessly without stating things at the start of a program.
PHP also comes with an XDebug package for handling bugs and error-checking the codes. But PHP development is quite slow in identifying and removing bugs. Therefore, it often experiences security issues.


The Bottom Line PHP vs Python: Which One You Choose for Web Development?


From the blog, you must have inferred that both PHP and Python are good for web development. However, there are many aspects in which Python wins over PHP. But this doesn’t mean that you only have to opt for Python. The selection of programming language majorly depends on the complexity and needs of the project.

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PHP vs Python: FAQs

1. Why choose Python over PHP?
Python is chosen over PHP for web app development due to many reasons, such as ease to use, simple syntax, flexibility, security, high performance, etc.
2. Which programming language is secure: PHP vs Python?
Python is a preferred programming language when it comes to security as it has many security features compared to PHP.
3. Why is Python used mostly?
Python is a general-purpose programming language and is utilized in web development, mobile app development, AI, ML, game development, big data, and so on.
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5885 views · 2 years ago
A Beginners Guide To Artificial Intelligence For Web Developers

Artificial Intelligence has significantly transformed the way we work and interpret information. With technologies such as OCR, machine learning, deep learning, natural language processing, and computer vision; machines are now able to provide greater insights and perform tasks that typically required hours and hours of work from humans.

What is artificial intelligence?


A.I. or artificial intelligence is the technology that enables machines to perform tasks that usually require human intelligence. But instead of using human brains, A.I. uses different technologies such as computers, or even software algorithms, to perform tasks. Some of the most common A.I. technologies include speech recognition, voice recognition, machine translation, natural language processing, computer vision, and predictive analytics. The term artificial intelligence comes from the combination of artificial and intelligence. While artificial intelligence is a property of the physical world, intelligence is the property of the mind. How does it make sense in Web Development? As mentioned earlier, A.I. has significantly transformed the way we work and interpret information.

How is AI applied to web development?


In the majority of cases, AI is used to assist a developer in a number of functions: Automatically format existing content, analyze images for semantic meaning Break down complex tasks into smaller pieces Example applications of AI in web development Example image compression algorithms. Tools such as image recognition and machine learning have been key factors in the development of new image processing algorithms. Traditionally, manually processing an image was a lengthy and tedious process, but when computer vision was introduced into the process it drastically decreased the amount of time required to complete this task. Now, programs such as image recognition can identify objects in images and classify them based on both visual and metadata attributes.

Machine learning


When data is fed into a machine learning algorithm, the machine learns to understand it. For instance, if you provide a machine learning algorithm examples of dogs verses blueberries, the machine will learn to identify what a picture of a blueberry looks like, verses a picture of a dog. Natural Language Processing Natural language processing is a sub-field of machine learning. You can apply natural language processing for reading emails, chatting, or writing blog posts (such as this one!). A good example of natural language processing in action can be found in Microsoft's Cortana. Deep learning This is the most popular type of artificial intelligence today.

Deep learning


Deep learning algorithms are very similar to how the human brain works, with its built in mechanisms to learn and memorise a vast amount of information. It's these connections that enable machines to be able to recognise patterns and learn from them. An example of this is Google Translate, which recognises more than a 1,000 languages. This isn't an example of AI but it shows how useful these programs can be. Deep learning is one of the hottest technologies in the field of machine learning and this explains why almost all of the major technology companies are pushing these advances forward.

Natural language processing


For example, your phone can understand you better when you speak to it. If you say “Hey, Siri,” your phone will listen to you and respond to your questions. In general, it means that the system has been trained and is able to better understand the context of what you’re trying to communicate. This type of Natural Language Processing is used in the majority of companies today, including the likes of Google and Apple, to improve the user experience, provide better customer service, and to aid in the effective execution of processes. Machine learning Machine Learning is an extremely powerful technique used to further improve the knowledge of artificial intelligence, as well as to make machines smarter by discovering patterns and generalities in vast amounts of data.

Computer vision


Computer vision is a technology that has been able to recognize objects in images and video for eons. A popular example is Apple's Siri, which was one of the first software to use computer vision to provide contextual awareness. AI is built on this technology, providing the capability to recognize various images and videos. The industry is still in its infancy, but what we have seen so far has been incredibly incredible. What's amazing is that just a few years ago we thought that vision was completely under our control, but now, it has evolved to understand the nuances of objects.

Conclusion

“In the year 2050, the Amazon book you ordered for your Kindle will be delivered by a drone.”

This futuristic statement by Amazon CEO Jeff Bezos did leave you pondering. But it is one thing to dream about the future and another thing to think about the innovations taking place in the present and how you can exploit them to drive better business results. To make the most of the technologies coming to our everyday lives, we must acquire a knowledge of the AI technology, its features, and its application. Succeeding in today’s competitive and challenging business world, requires a broad set of skills such as coding, business analysis, computer programming, and ecommerce marketing.

Learn more about AI with our video library
9758 views · 3 years ago
Web Sockets in PHP

In his talk Websockets in PHP, John Fransler walks us through the use of WebSockets in PHP.

While discussing bi-directional real-time application development, John notes that PHP is often not invited to the table due to its lack of native support. Of all the possible attempts to bring in PHP on this stage of real-time development, Ratchet, a PHP WebSocket library, comes closest. "Ratchet is a loosely coupled PHP library providing developers with tools to create real-time, bi-directional applications between clients and servers over WebSockets."* Ahem!

Today's dynamic world


In today's dynamic content world of the internet, it is required to serve real-time bi-directional messages between clients and servers. WebSockets are simple, full-duplex, and persistent. They work over Http and are a standard today.

WebSockets have compatibility with 96.5% of clients globally

There's a very high chance your client has the necessary plumbing to access your content via WebSockets. WebSockets gives the ability to have real-time data on to your clients without the need for polling.

To understand WebSockets, John takes an example of a Javascript client and Ratchet Server. Javascript has everything built in to allow access to a socket. For example, you can use the send method on a WebSocket variable to send a message to the server, or if you want to respond to a message from the server, you use the OnConnection method.

While on the Server, John uses Ratchet, which is built on React PHP. A server script is then configured and set up to run and listen on a port for incoming HTTP requests. For messages, JSON is used, and to find public methods, a router is set up. He then goes on to instantiate the server-side script in Ratchet.

There are four functions of a Ratchets message component interface that are used in this example:

OnOpen gets called when a new connection is made.

OnClose gets called when a client quits. It's essential to keep an eye on memory management, and essential to keep tidying up as you move through the code.

OnError gets called when there is an exception faced by the user.

OnMessage gives the text of the JSON message, which is being exchanged with the client.

For Initialization, Jason continues to walk through the example. He shows how one can loop through the clients, both inside the server and outside the server. Outside the server, it’s a feature of React PHP. On database access, and with traditional standard synchronous MySQL in PHP, what usually happens is that it forces the code to wait for the query to return a result and do nothing — Fortunately, with Asynchronous MySQLi, that is not the case.

John gets into the details explaining Variables, References & Pointers. He also gives a demo where a central site has updated information on the Bitcoin and ether prices. A client terminal reflects the last values. Now the client doesn't have to poll the server for new values. When there is a change in the Bitcoin or ether values, the server pushes down the client's update. No polling helps with a lot of overheads and gets closer to real-time.

Using Supervisord


For Long-running applications - Jason recommends running a supervisord, use proxy to expose the port, and add a site certificate. Supervisord keeps an eye out for the server running the service; it can be used to restart the service and log any service issues. Recommended proxies are AWS load balancer, Nginx, and HA Proxy. For scalability, use multiple smaller WebSocket servers and a smaller number of clients per server used and load balancing. If one has to support a chat feature to allow clients to talk to each other in near real-time, it is recommended to use Redis. The Redis server proxies the messages between the server nodes.

The talk concludes with John summarizing best practices on error handling and takes QnA on various aspects of WebSockets such as handling load balancers and asynchronous calls to MSQLi.

The presentation for this video, along with the code, is hosted at John Curt's GitHub. More info about John's current areas of interest can be found on John's Blog.

Watch the video now


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5374 views · 3 years ago
Top 12 PHP Libraries to Leverage Your Web App Development



PHP, by all means, is an immensely powerful language!



We may fall short of words, but there won't come any end to its qualities. The endless functionalities and possibilities of this server-side scripting language have managed to get it a strong and supportive community of PHP programmers on a global level. At present, PHP powers more than half on websites and applications on the internet.


Do you know what makes PHP so praiseworthy?



It is the simplicity, easy programming structure, and developer-friendly web functionalities that are to be credited to turn PHP into one of the top programming languages. You can create highly interactive and dynamic websites and applications with desired results by making use of PHP.



However, coding often could be a tough and tedious task to accomplish. As a solution to this, you get built-in PHP libraries that optimize the process of coding for maximum productivity.



But what are these libraries?




That's exactly what you will find out as you move ahead in this article, a list of top 12 PHP libraries capable of leading the development process in an intended manner.



So, without waiting any further, let's move ahead to learn about PHP libraries in-depth.



PChart




PChart is a PHP library assisting with the generation of text data in the form of something more appealing to the eyes and known as visual charts.



You can use this library to represent data as bar charts, pie charts, and many more different formats. The PHP script here utilizes SQL queries to put data in the impressive charts or graphs form.



Mink




Another well-known in the list of PHP libraries is Mink. It allows you to keep an eye on if a proper interaction is happening between your web apps and the browser. Eliminating the API differences between the two types of browser emulators, Mink offers an authentic testing environment for you. It also supports PHPUnit, Behat, and Symfony2.



Monolog




Monolog is a PHP logging library that helps you with saving logs to the specified locations by sending them to set files, sockets, inboxes, databases, or other web services. The use of the PSR-3 interface permits to type-hint logs in counter to your libraries that maintain optimum interoperability.



Hoa




This modular, extensible, and structured set of PHP libraries we know as Hoa establishes a link between the research and the industry.



It recommends essential paradigms, mechanisms, and algorithms for building the reliability of a site. Many PHP developers in different parts of the world use Hoa for ideal PHP development.



Guzzle




Guzzle is an HTTP client library for PHP that enables you to send HTTP requests to combine with web services.



It offers a simple interface that makes the development of query strings, POST requests, HTTP cookies, and many other attributes possible. You can also use Guzzle to send synchronous and asynchronous requests from the similar interface.



Ratchet




If your need is to develop real-time, two-directional apps between clients and servers over WebSockets, Ratchet is the PHP library you need to do it effectively.



Creating event-driven apps with Ratchet is a rapid, simple, and easy job to do!



Geocoder




Geocoder is a library to create applications that are very well geo-aware.



With Geocoder, there is an abstraction layer that helps with geocoding manipulations.



It is further split into two parts, known as HttpAdapter and Provider.



ImageWorkshop




ImageWorkshop is an open-source PHP library letting you work over the manipulation of images with layers. You can crop, resize, add watermarks, create thumbnails, and so much more. You can also enhance the images on the sites.



PhpThumb




phpThumb is the library specialized at handling the work associated with creating thumbnails with minimal coding. Accepting every image source type and image formats, it makes you do a lot ranging from rotating or cropping to watermarking or defining the image quality.



Parody




This simple library we know as Parody is used to copy classes and objects. It also provides results for method calls, acquiring properties, instantiating objects, and more. Sequential method chaining is used by Parody to produce defining class structures.



Imagine




This object-oriented PHP library is meant for working with images along with manipulating them. The often adopted operations such as resizing, cropping, and applying filters happen instantly and relatively well with Imagine.



With Imagine, you get a color class that forms the RGB values of any given color. Draw shapes like arc, ellipse, line, etc. with the features available.



PhpFastCache




PhpFastCache is an open-source PHP library that makes caching feasible. Coming as a single-file, it can be integrated within a matter of minutes.



Caching methods supported by PhpFastCache involve apc, memcache, memcached, wincache, pdo, and mpdo.


The Bottom Line




It's not about what extra difference these libraries make; it's about what significant individual contributions these libraries make for a final desired PHP app or website.



A PHP programmer, too, agrees with these libraries' benefits.



It's your time now to try and believe!

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