Thus, when creating a new gem, a developer should take into account all Rails peculiarities, like ActiveRecord and ActiveSupport. Not true. Ever heard of Basecamp, Groupon, Airbnb and Shopify?
Well, they are all built with Rails. So, this Ruby on Rails criticism is totally uncalled for. The first thought of RoR being difficult to scale appeared when Twitter had switched from Rails to Scala. It was thought that if such a big company, like Twitter, abandoned Rails then Rails must be no good. But time has passed and has shown that other corporate giants have stuck to Rails and have had an awesome journey with it.
One of the examples is Shopify that has shared their experience in scaling Rails many times. Up to this day, Shopify uses Ruby on Rails to support over , businesses. Worth noting, scalability issues often occur when there are database performance dysfunctions. Related: Ruby on Rails Scalability Issues. There are a couple of solutions if you have scalability issues: Kubernetes, Docker Swarm and Marathon.
Yes, Trouble is the second name for ActiveRecord. ActiveRecord breaks the Single Responsibility Principle, a principle where each element has only one responsibility in which it fully executes and an Interface Segregation Principle, a principle that divides a large interface into smaller parts.
In essence, ActiveRecord tries to do all sorts of things, starting from interacting with a database and ending with data validation. ActiveRecord comes with over public methods and encourages the use of callbacks and concerns.
This is an ORM that is difficult to cope with its growing complexity. Because of this, large projects can be difficult to maintain. Luckily, developers have found some workarounds. For example, by using dry-rb , a collection of Ruby libraries, Rubyists are now able to work with different components in a more flexible way, since each element is divided into separate components.
Just use it on top of Rails for better support. True, Rails was not built with a focus on the low coupling between modules. Coupling applies to dependency relationships between modules. With high coupling, all components are connected with each other. Even if you succeed, there will be big functionality restrictions. However, low coupling provides easier project support and helps to manage complexity.
In a way , prices for hosting vary in different programming languages indeed. Meanwhile, Python is somewhere in between. Analyzing Ruby on Rails criticism, we can see that it has appeared when new languages like Go, Scala, Rust and Erlang have made their entrance. Nevertheless, it has reached its peak of popularity and has grown into a steady and evolving web framework.
Related: Is Ruby on Rails dying? It is true that Ruby on Rails has some weak spots that developers like to criticise a lot. Nonetheless, Ruby on Rails criticism can be sometimes completely undeserved. An important thing to keep in mind is that Rails has its own target audience and niche-orientation where it massively shines. Moreover, Ruby 3. We have to admit: Ruby on Rails may be cool for your project but maybe not. Click below to get a free minute tech consultation. Vote count:. No votes so far!
Be the first to rate this post. Nowadays companies that know how to build a product roadmap can create a smooth development process…. After the COVID pandemic, companies worldwide understood that in-house teams are no longer the best way to do business.
Quite a lot! But we can speed up this process by replacing the map! The runtime has now dropped drastically since the map! However, reading it line by line will GC it to relocate the memory from the previous lines when not necessary.
This one is an extension of the previous point with a more common example. On a small-scale, the difference is meaningless and methods such as map seems more readable. However, when it comes to larger data sets, it is always a good idea to consider replacing it with more basic loops. Like on the example below:.
This is a quick yet particularly useful tip. Ruby will create additional object. So, this:. In the controller, ActiveRecord will create only one query to find our posts. But later on, it will also trigger another 20 queries to find each author accordingly — taking up an additional time!
Luckily enough, Rails comes with a quick solution to combine those queries into a single one. By using the includes method, we can rewrite our controller this way:.
You can also use other gems, such as bullet to customize the whole process. Bezos showering in your AWS bill. They will be different for every organization. These performance requirements can be easily translated into automated alerts and thresholds. You just have to have the conversation beforehand. So how much of a difference does a web application which responds in 1 millisecond or less make in this environment? Vanishingly little. Nowadays, the average webpage takes 5 seconds to render.
Some JavaScript single-page-applications can take 12 seconds or more on initial render. Rails is just an example here - there are many comparable frameworks in comparable languages that you could substitute like Python and Django. Would you like to keep doing it? The answers I get back are always astoundingly positive. For all the FUD on the web at large, people writing Ruby are incredibly happy doing it. I'm Nate Berkopec nateberkopec. I write online about web performance from a full-stack developer's perspective.
I primarily write about frontend performance and Ruby backends. If you liked this article and want to hear about the next one, click below. I don't spam - you'll receive about 1 email per week. It's all low-key, straight from me. The Complete Guide to Rails Performance is a full-stack performance book that gives you the tools to make Ruby on Rails applications faster, more scalable, and simpler to maintain.
The Rails Performance Workshop is the big brother to my book. Learn step-by-step how to make your Rails app as fast as possible through a comprehensive video and hands-on workshop. Available for individuals, groups and large teams. Puma 5 is a huge major release for the project. It brings several new experimental performance features, along with tons of bugfixes and features. Let's talk about some of the most important ones. To understand completely, we have to dig through Ruby's Virtual Machine, queueing theory and Amdahl's Law.
Sounds simple, right? Programmers vaguely realize that 'premature optimization is bad'. But what is premature optimization? I'll argue that any optimization that does not come from observed measurement, usually in production, is premature, and that this fact stems from natural facts about our world.
By applying an empirical mindset to performance, we can Let's look at three common cases: misuse of the count method, using where to select subsets, and the present? I've completed the 'second edition' of my course, the CGRP. What's changed since I released the course two years ago? Where do I see Rails going in the future? What does this mean for Ruby web applications?
Memory fragmentation is difficult to measure and diagnose, but it can also sometimes be very easy to fix. Let's look at one source of memory fragmentation in multi-threaded CRuby programs: malloc's per-thread memory arenas. Application server configuration can make a major impact on the throughput and performance-per-dollar of your Ruby web application. Let's talk about the most important settings. Choosing a new web framework or programming language for the web and wondering which to pick?
Should performance enter your decision, or not? Did you miss Railsconf ? Or maybe you went, but wonder if you missed something on the performance front? Let me fill you in!
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