Deploying Python Applications to Azure

As a cloud engineer who’s also a dabbler in building applications at home, I’ve taken a big interest recently in how we can take the local prototypes & applications built by techies and turn them into valuable tools available to other members of an organisation, particularly when looking at enterprise environments. This post shows how easy it can be to get such tools up and running in the cloud! <h1>Why talk about this at all?</h1> It is quite common for some talented programmer or engineer to come across a really useful library, framework, or tool of some sort, build a really good demo, but then it goes nowhere after showing it to their team. Why? It can be a mix of factors — uncertainties over cost implications, lack of knowhow in terms of how to get it up and running, needing more confidence that all the key considerations have been covered, etc. The aim of this article is to highlight it can be very straightforward to pick a framework, build something, and get it delivered to end users. For today, we’ll pick Streamlit, a popular framework for building web apps to visualise data. The point of this article is that there’s a great way to build applications out there which is underutilised. Realistically, most SaaS/PaaS tools like Power BI or Dynamics will cover you for most use cases whether it be dashboarding, some sort of CRUD application, or something else altogether. However, if you do want to take some of the really cool things people can build and make them available to others, read on! <a href="https://medium.com/@cillbis_73082/deploying-streamlit-applications-to-azure-f9ad515ad0aa">Click Here</a>