How to create scalable, module-based applications with ease.
Modern applications thrive on modular architecture, adapting seamlessly to evolving business needs. To achieve true modularity, though, you need more than just independent components—you need an efficient way to bring them together. This means controlling how modules load, in what order, and with which dependencies. It gets even trickier when you want to turn off parts of the system without any traces in the code, like if/else statements, and without affecting the stability of other components.
The simplest example: imagine your application has numerous interconnected features. Sometimes, you need to disable one of them. Here’s the catch: some features may directly depend on it, while others may be affected indirectly (transitively). If you overlook these dependencies, your app might crash. And if you need to disable more than one feature, the combinations can become complex and error-prone. It would be ideal to have a way to explicitly describe feature dependencies and safely disable them without missing anything.
For instance, like this
const user = createContainer({ id: 'user', start: async () => { const data = await fetchUser(); return { api: { data } }; }, }); const accounts = createContainer({ id: 'accounts', dependsOn: [user], start: async ({ user }) => { const data = await fetchAccounts({ id: user.data.id }); return { api: { data } }; }, enable: ({ user }) => user.data.id !== null, }); const wallets = createContainer({ id: 'wallets', dependsOn: [accounts], start: () => ({ api: null }), });
...and expect something like this:
compose.up start user: 'idle', accounts: 'idle', wallets: 'idle' user: 'pending', accounts: 'idle', wallets: 'idle' user: 'done', accounts: 'idle', wallets: 'idle' # if user.data.id user: 'done', accounts: 'pending', wallets: 'idle' user: 'done', accounts: 'done', wallets: 'pending' user: 'done', accounts: 'done', wallets: 'done' # else user: 'done', accounts: 'off', wallets: 'off' compose.up done
I created the @grlt-hub/app-compose library, which makes this a reality.
The library offers convenient functions for creating and composing modules into a single system. Each module is encapsulated in a container with a clear configuration, including parameters like id, dependsOn, optionalDependsOn, start, and enable. Developers describe containers and launch them using compose.up fn, without the need to worry about the order of execution. This approach makes working with containers intuitive and close to natural language.
- Provides a simple and intuitive developer experience (DX).
- Designed with a focus on quality and performance.
- Weighs less than 1.5 kB, making it lightweight.
- Covered by 100% tests, including type tests.
- Ensures high performance, suitable for scalable applications.
- Includes debugging tools to facilitate the development process.
- Offers the ability to visualize the system composed of containers effectively (including transitive dependencies and their paths).
- Follows semantic versioning (semver), guaranteeing stability and predictability of changes with each release.
Ready to simplify your modular architecture? Dive into app-compose and experience efficient, scalable dependency management. Check it out and let us know how it transforms your projects!
- GitHub
- Documentation
The above is the detailed content of How to create scalable, module-based applications with ease.. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics











Python is more suitable for beginners, with a smooth learning curve and concise syntax; JavaScript is suitable for front-end development, with a steep learning curve and flexible syntax. 1. Python syntax is intuitive and suitable for data science and back-end development. 2. JavaScript is flexible and widely used in front-end and server-side programming.

The shift from C/C to JavaScript requires adapting to dynamic typing, garbage collection and asynchronous programming. 1) C/C is a statically typed language that requires manual memory management, while JavaScript is dynamically typed and garbage collection is automatically processed. 2) C/C needs to be compiled into machine code, while JavaScript is an interpreted language. 3) JavaScript introduces concepts such as closures, prototype chains and Promise, which enhances flexibility and asynchronous programming capabilities.

The main uses of JavaScript in web development include client interaction, form verification and asynchronous communication. 1) Dynamic content update and user interaction through DOM operations; 2) Client verification is carried out before the user submits data to improve the user experience; 3) Refreshless communication with the server is achieved through AJAX technology.

JavaScript's application in the real world includes front-end and back-end development. 1) Display front-end applications by building a TODO list application, involving DOM operations and event processing. 2) Build RESTfulAPI through Node.js and Express to demonstrate back-end applications.

Understanding how JavaScript engine works internally is important to developers because it helps write more efficient code and understand performance bottlenecks and optimization strategies. 1) The engine's workflow includes three stages: parsing, compiling and execution; 2) During the execution process, the engine will perform dynamic optimization, such as inline cache and hidden classes; 3) Best practices include avoiding global variables, optimizing loops, using const and lets, and avoiding excessive use of closures.

Python and JavaScript have their own advantages and disadvantages in terms of community, libraries and resources. 1) The Python community is friendly and suitable for beginners, but the front-end development resources are not as rich as JavaScript. 2) Python is powerful in data science and machine learning libraries, while JavaScript is better in front-end development libraries and frameworks. 3) Both have rich learning resources, but Python is suitable for starting with official documents, while JavaScript is better with MDNWebDocs. The choice should be based on project needs and personal interests.

Both Python and JavaScript's choices in development environments are important. 1) Python's development environment includes PyCharm, JupyterNotebook and Anaconda, which are suitable for data science and rapid prototyping. 2) The development environment of JavaScript includes Node.js, VSCode and Webpack, which are suitable for front-end and back-end development. Choosing the right tools according to project needs can improve development efficiency and project success rate.

C and C play a vital role in the JavaScript engine, mainly used to implement interpreters and JIT compilers. 1) C is used to parse JavaScript source code and generate an abstract syntax tree. 2) C is responsible for generating and executing bytecode. 3) C implements the JIT compiler, optimizes and compiles hot-spot code at runtime, and significantly improves the execution efficiency of JavaScript.
