In the first part of this series, we created a Django online shop with htmx. In this second part, we'll handle orders using Stripe.

With practically everything moving online now and consumers making snap decisions about what to buy and what not- can you really afford to not have an ecommerce website for your business? Well, we don’t think so! According to Tech Jury, 90% of online experiences begin with a search engine. Yes, that’s true! This basically means that if your business doesn’t have a website, you’re losing out on a lot of potential consumers.

Imagine you're building an e-commerce application. You want to use Django and bring all the benefits of that framework. But there are issues. Django's service-oriented architecture doesn’t play well with the event-driven nature of what you need to build. You need to automatically send a welcome email when a new user registers, instantly update inventory levels when an item is purchased, and notify users when their orders are shipped.

If you’re not building with AI, are you even building these days? Sometimes, it seems not. AI has become such an integral part of workflows throughout many tools that a clear understanding of integrating it into your product and framework is critical. Django is such a framework that powers thousands of products across the web: Instagram, Pinterest, and Mozilla are all services built on Django.

Django is designed to be secure by default, which means that its got a number of featured out of the box to protect against common Web vulnerabilities, including SQL injection, cross-site scripting (XSS), and cross-site request forgery (CSRF). Its extensive documentation, active community, and strong ecosystem of reusable apps and libraries make it a common choice for developers looking to create scalable and maintainable Web applications.

Multi-tenant applications are crucial for efficiently serving multiple clients from a single shared instance, offering cost savings, scalability, and simplified maintenance. Such applications can allow hospitals and clinics to manage patient records securely, can enable financial institutions to provide personalized banking services, and can help streamline inventory management and customer relationship management across multiple stores.

Django is one of the leading Python frameworks used to create full-stack web applications. In this comprehensive guide, you will explore the intricacies of testing and debugging within the Django framework, focusing on advanced methodologies and essential tools. Beginning with the fundamentals of Django unit and integration testing, you will delve into advanced techniques such as mocking, testing middleware, and profiling for optimal performance.

Django is a “batteries-included” framework. It has a wide array of built-in features that handle common web development tasks: URL routing, template engine, object-relational mapping (ORM), and database schema migrations. This makes it highly efficient for rapid development, allowing developers to focus on building their applications' unique aspects without reinventing basic functionalities.

In this post, we will specifically look at using AppSignal to track errors in a Django application. We'll first create a Django project, install AppSignal, introduce some faulty code, and then use the AppSignal Errors dashboard to debug and resolve errors. Let's get started!

During my recent deep dive into new technologies, I found the classic issues of integrating numerous tech tools effectively. I've written about my experiences to save you the trouble I had. One essential component I've looked into is using Docker to implement containerization. While the initial setup takes a little longer, it significantly simplifies and optimizes your technological stack.