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Why Ruby on Rails Remains a Top Web Development Framework in ...
Excerpt
### Slow Performance Charge While Rails has slower runtime speeds than, for example, Node.js or Golang, this only becomes noticeable with huge products with large-scale traffic. However, when working with a team of experienced Rails developers, these issues can be mitigated through code optimization and efficient system architecture maintenance. … So, where does Rails' bad reputation come from? The issue often stems from the very thing that makes it powerful—its ability to streamline development. Because Ruby on Rails development handles so much behind the scenes, inexperienced developers may overlook best practices, leading to poorly optimized code. When that happens, performance issues become more about the developer’s approach than the framework itself. … ### Alleged Scalability Issues I’ll start by explaining why blaming only the framework for scalability issues and deficiencies in handling many user requests is wrong. For the application to serve requests quickly, each element in the server system architecture, not only the web app’s backend, should be configured correctly and be appropriately performant. Ruby on Rails was accused of being difficult to scale when Twitter moved away from Rails to Scala. The transition was probably what first sparked the debate around RoR’s scalability issues. Still, let’s keep in mind that we’re talking Twitter-sized traffic here. Many Ruby on Rails developers have implemented service-oriented architectures and horizontal scalability to successfully overcome these challenges. So, before condemning Rails, try to identify which element exactly is responsible for the slowdown. Available scaling options with Rails: - code optimization - service-oriented architecture - horizontal scalability Asynchronous database queries in Ruby on Rails 7 address scalability issues with a new feature called load_async. This feature allows the Rails app to request different pieces of information from the database simultaneously. For example, it can fetch a list of products and a list of users at the same time rather than waiting for the product list to finish before starting on the user list.
Related Pain Points
Application scalability challenges with high traffic and large datasets
8Scaling Rails applications to handle significant traffic and large datasets is difficult because the framework's default settings are often not optimized for high-traffic environments, leading to performance degradation as the application scales.
Ruby language culture encourages inefficient coding practices
6Ruby and Rails culture promotes code patterns that appear clean but are inefficient: individual database inserts instead of batch operations, excessive method abstraction creating 5x more lines than needed, and instance variables instead of local variables. These micro-optimizations are dismissed but collectively tank performance.