Python is a versatile language that can be used for a variety of purposes, from web development to business applications. In this post, we’ll explore how to use Python and Django to create microservices for your next app.
Whilst microservices architecture is a relatively new concept, the technology has been around for decades. And while Python isn’t a language that you would traditionally think of when considering microservices, it’s actually an excellent choice for building them.
Python is one of the most popular programming languages, along with being one of the easiest to understand. It’s also one of the most versatile languages that can be applied to a variety of apps and projects.
Microservices are small, autonomous, and scalable parts of an application. Each microservice does one thing, and does it well.
The idea behind microservices is that you can build a large monolithic application by putting together lots of small services instead of trying to build just one big application from scratch. This is called the “monolith-first” approach. Microservices can then be deployed independently and communicate with each other to create one large app.
The good thing about using the microservice approach is that if a single component of the application fails, then only a small part will be down. Compared to the monolithic approach, one component of the application failing will cause the entire application to also fail. Deployment and scaling are much easier when using the microservice model compared to the monolithic model.
Benefits of Using Python and Django for Microservices:
Python microservices are a great way to break up large applications into more manageable chunks. Microservices will allow you to develop, test, and deploy smaller pieces of your application much more quickly and easily.
Additionally, microservices can make your application more resilient to failure. Individual microservices can be restarted or replaced without affecting the entire application.
Django can also be used to create Python microservices, which means there’s even more reason to choose Django. We’ve discussed why you should use Django for your next web project. It provides a simple yet powerful web development framework that makes it easy to build high-performing, scalable web applications.
Django also includes a powerful Object-Relational Mapping (ORM) that makes it easy to interact with your database. Moreover, it provides built-in support for popular web technologies such as AJAX.
Python microservices can provide several other benefits, including:
- Faster development times – Python microservices can be developed quickly and easily, which can speed up your time to get to the market.
- Improved scalability – easily scale up or down to meet your needs.
- Greater flexibility – can be quickly adapted to changes in your project or requirements.
- Reduced complexity – help simplify your architecture and reduce complexity.
- Improved reliability – less likely to fail than traditional monolithic applications.
- Lower costs –help reduce your costs by allowing you to use more affordable hardware.
Getting Started with Python Microservices:
Python has become a popular choice for developing microservices, thanks to its ease of use and wide range of libraries and frameworks. Let’s explore how you can get started with microservices.
There are several ways to get started with Python microservices. One option is to use a Python microservices framework such as Tornado or Flask. These frameworks provide a lot of built-in functionality, making it easy to get started with microservices.
Another option is to use a library such as Twisted or Pyramid. These libraries provide more flexibility than the other frameworks, but can be more difficult to use. In addition, you can use vanilla Python to write microservices. This option provides the most flexibility, but also requires the most work.
No matter which option you choose, there are a few things to keep in mind when developing Python microservices. Make sure that your services are small and lightweight.
You’ll also need to make sure that your services are loosely coupled and can be easily scaled. Moreover, using a messaging system such as RabbitMQ to communicate between services is also necessary.
Challenges of Using Python for Developing Microservices:
Although it can seem like microservices can be a great choice for various reasons, there are also several challenges you’ll need to consider. Overcoming these issues can take up a lot of time and money. As a result, you should consider if it’s worth switching from a monolithic to a microservice model in terms of saving cost and time
Let’s take a look at some of the challenges microservices present in more detail:
- The API is essential to the functioning of a microservice architecture. It enables communication between services, and provides a consistent interface for clients. However, it can be difficult to design an appropriate API for each use case without having access to user requirements or usage patterns during the development stages.
- With so many services running in parallel, it’s very important for them all to work together well. This allows the microservice to deliver what users need from them on time without slowing down their systems. Monitoring these complex relationships will help ensure that everything runs smoothly without any big issues coming up. Otherwise, issues might come up that can affect the user experience.
- Operational complexity also increases with microservices. On paper, it sounds great that you can break up a big project into smaller tasks. On the other hand, managing all the microservice teams who have the ability to run each microservice differently can lead to issues. It’s important to make sure all your microservice teams are on the same page.
- Debugging is a massive issue when it comes to microservices. Unlike traditional applications, using logging to find errors in microservices doesn’t work well. Logging formats are also different for different microservices, making it difficult to keep track of where a bug might have come up.
Building an application using individual microservices is a relatively new concept, but seems to be very promising. Microservices definitely have a lot of advantages. This includes quick scalability and deployment that allow you to create larger apps in a shorter time frame.
Although, they also come with several disadvantages, such as complex debugging issues and increased operational complexity. It depends heavily on your project, as using a microservice model instead of a monolithic model may cost more in terms of time, money and resources in certain cases.
Contact the Raw Jam team if you need any advice on using Python for microservices.