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Peak Shiny Performance
Don’t just make apps that work. Make apps that work better.
Professional software developers think about not only initial execution but performance optimization. It is part of your journey of being one of the best in your field. There are several ways to do this for an app. Some of these ways include: minimizing the number of computations, using efficient data structures and algorithms, properly caching your data, and optimizing image and file sizes. This article touches on these subjects as they relate to Shiny, one of the best web app development tools available.
R Shiny has a certain amount of popularity for building interactive web applications, especially in the data science and analytics space. Therefore, developers constantly face the challenge of scaling and optimizing performance. While Shiny is intuitive and productive for creating prototypes, deploying apps for broader audiences or handling large datasets demands a more deliberate focus on performance tuning.
Let’s explore key techniques and best practices that web developers can use to achieve peak performance with Shiny apps, covering front-end and back-end considerations, efficient coding strategies, and deployment tips.
