Building Stronger, Scalable Systems with Python & JavaScript
Learn how to make your systems scalable using microservices, caching, and more. With Python and JavaScript, see how easily you can support growing demand.
A scalable system is one that can handle an increasing workload without compromising its performance. Scalability is vital for systems because it determines how well your application can grow based on demand. Many systems like this exist nowadays, and they are usually built with Python and JavaScript. In this blog, we will discuss key strategies for building scalable systems with these two programming languages and provide examples of systems that can be built.
If you would like to learn more about these programming languages, you will find information here about the main differences between Python and JavaScript, and when to use asynchronous Python.
Strategies for Building Scalable Systems
1 Microservices Architecture
Rather than developing a single, integrated application, a suite of small, independent services that communicate with each other over a network can be created. Each service focuses on a specific business capability and can be developed, deployed, and scaled independently.
2 Asynchronous Programming
Asynchronous programming enables a system to perform other tasks while awaiting the completion of an operation. This non-blocking nature is particularly beneficial for applications that support thousands of concurrent connections, such as online streaming services and chat applications.
3 Load Balancing
Implementing load balancing is crucial to managing incoming traffic effectively. Load balancers distribute incoming requests across multiple servers, ensuring that no single server becomes overwhelmed. This improves fault tolerance and enhances overall system performance.
4 Caching Strategies
Caching is a technique that stores frequently accessed data in memory. This reduces latency and decreases server load. With caching, applications can serve subsequent requests much faster.
5 Database Optimization
Efficient database management is essential for scalable systems. Proper indexing, query optimization, and selecting the appropriate database technology for specific needs are all part of this.
Systems Built with Python
- Web Applications
- Data Analysis and Machine Learning
- Automation and Scripting
- Scientific and Numeric Computing
- Desktop Applications
- Networking Applications
Systems Built with JavaScript
- Web Applications
- Server-side Applications
- Mobile Applications
- Real-time Networking Apps
- Microservices
- IoT Solutions
What’s a Rich Text element?
The rich text element allows you to create and format headings, paragraphs, blockquotes, images, and video all in one place instead of having to add and format them individually. Just double-click and easily create content.
Static and dynamic content editing
A rich text element can be used with static or dynamic content. For static content, just drop it into any page and begin editing. For dynamic content, add a rich text field to any collection and then connect a rich text element to that field in the settings panel. Voila!
How to customize formatting for each rich text
Headings, paragraphs, blockquotes, figures, images, and figure captions can all be styled after a class is added to the rich text element using the "When inside of" nested selector system.
.png)
.png){kind=logo}
.png){kind=small}
