In this blog post, we will finish swapping out the frontend and backend of our Python AWS application. Although Flask and Redis are different from Django and MySQL in many ways, the underlying infrastructure behind their deployment is nonetheless very similar, and can be effortlessly updated as we transition from one to the other.
Today we’re excited to announce some fairly significant improvements to the experience of writing Pulumi programs in Python. We’ve added type annotations to APIs and now allow passing nested data as strongly typed classes instead of raw dicts. This provides a much better editing experience in IDEs, improved type checking, and overall consistency.
In our previous post, we created a Python voting application using Flask and Redis. This blog post will explore creating a MySQL database and initializing it with a schema and data. What seems to be a simple step is much more interesting than it appears, because Pulumi’s MySQL provider does not support creating and populating tables. To do it, we will extend it with a Dynamic Provider.
Meet Vova Ivanov—one of the Pulumi summer interns. He’ll be writing about his experiences learning Pulumi while modernizing a web app and its underlying infrastructure.
Policy as Code for Python is now GA in Pulumi 2.0. Policies written in code let you test, automate deployment, and enable version control. Python is a popular scripting language used for machine learning and artificial intelligence, data science, web development, and devops. It’s an ideal language for developers and operators to use in common.
Using Pulumi and general purpose languages for infrastructure as code comes with many benefits: leveraging existing skills and knowledge, eliminating boilerplate through abstraction, and using the same ecosystem of tools like IDEs and linters that your team already knows and loves. In general, these are all attributes of software engineering, which not only make us more productive, but also improve the quality of our code. It’s only natural, therefore, that using general purpose languages unlocks another important software engineering practice: testing.
In this article, we will see the many ways in which Pulumi lets us test our infrastructure as code.
Across the industry, the popularity of Python is exploding. Amongst our own customers at Pulumi, who automate their infrastructure using Python, we’ve seen the same. Stack Overflow wrote about the astounding growth of Python: The term “fastest-growing” can be hard to define precisely, but we make the case that Python has a solid claim to being the fastest-growing major programming language. – David Robinson, Stack Overflow Since Python is not a new language, what could be driving this incredible adoption curve?