Unlike compiled languages, in PHP if you make a mistake, the program will crash when the line of code with the mistake is executed. When testing a PHP application, whether manually or automatically, developers spend a lot of their time discovering mistakes that wouldn’t even compile in other languages, leaving less time for testing actual business logic.
Previously, we explored the fundamental concepts and terminology utilized in Domain Driven Design (DDD), as well as the layers that make up its architecture. In this section, we will examine the artifacts employed to integrate these concepts and construct our application, using PHP as an example.
In the world of data management, there are often two contrasting approaches to removing information from a database: soft deletes and hard deletes. Both have their pros and cons, and the choice between them can significantly impact how your data is handled. Let's dive into this crucial decision and help you decide which option is best suited to your needs.
Managing a Laravel project involves many tasks that can be automated to save time and reduce errors. GitHub Actions offers a powerful way to automate workflows directly within your GitHub repository. By integrating GitHub Actions into your Laravel project, you can automate testing, deployment, and other routine tasks, ensuring a more efficient and reliable development process.
Arduino is an open-source electronics platform based on easy-to-use hardware and software. Arduino boards are able to read inputs - light on a sensor, a finger on a button, or a Twitter message - and turn it into an output - activating a motor, turning on an LED, publishing something online. You can tell your board what to do by sending a set of instructions to the microcontroller on the board. To do so you use the Arduino programming language and the Arduino Software (IDE).
Arduino is an open-source electronics platform based on easy-to-use hardware and software. Arduino boards are able to read inputs - light on a sensor, a finger on a button, or a Twitter message - and turn it into an output - activating a motor, turning on an LED, publishing something online. You can tell your board what to do by sending a set of instructions to the microcontroller on the board. To do so you use the Arduino programming language and the Arduino Software (IDE).
Arduino is an open-source electronics platform based on easy-to-use hardware and software. Arduino boards are able to read inputs - light on a sensor, a finger on a button, or a Twitter message - and turn it into an output - activating a motor, turning on an LED, publishing something online. You can tell your board what to do by sending a set of instructions to the microcontroller on the board. To do so you use the Arduino programming language and the Arduino Software (IDE).
MongoDB’s aggregation framework is a robust tool for processing and analyzing data directly within the database. Instead of retrieving data to manipulate it in your application code, you can run complex queries and transformations on the server side. The core of this framework is the aggregation pipeline, which allows you to chain together various stages to perform tasks like filtering, grouping, sorting, and reshaping your data.
In today's data-driven world, safeguarding critical information is paramount. As databases grow in complexity and size, it becomes increasingly crucial to have a reliable backup and restore strategy in place. MongoDB, a popular NoSQL database, offers powerful export and import commands that simplify the process of creating backups and restoring data. In this article, we will explore how these commands can be used as efficient backup and restore actions, ensuring the safety and integrity of your valuable data.
MongoDB proves itself as a robust solution for efficiently managing extensive datasets. A critical aspect contributing to MongoDB's effectiveness is its skillful use of indexes. Indexing acts as a meticulously organized roadmap for your data, enabling MongoDB to swiftly retrieve information. In this article, we will explore MongoDB indexes, shedding light on the diverse types and deciphering the nuances between ascending (asc) and descending (desc) indexes.
