Ruby on Rails Optimisation and best practices
Hi, This is Shubham Mishra from India, this is the part of Ruby on Rails exploration journey. In this post we will discuss about the ruby's some special concepts and I am sure you will get excited to make your hands dirty with those code, so why to wait let's get started...
Achieving Lightning-Fast Ruby on Rails Performance: Tips and Tricks for Optimizing Your Application
Ruby on Rails is a popular web development framework known for its simplicity and ease of use. However, as your application grows and scales, you may start to encounter performance issues that can impact user experience and overall system efficiency. In this post, we'll explore some of the most effective strategies for optimizing your Ruby on Rails application to achieve lightning-fast performance. 1. Caching: One of the most effective ways to improve Ruby on Rails performance is to use caching. Caching allows you to store frequently accessed data in memory, reducing the number of database queries required to generate a page. You can use a variety of caching techniques, such as page caching, fragment caching, and action caching, to improve your application's response times and reduce server load. A. Page Caching In this example, we have enabled page caching for the index and show actions of the PostsController. This means that Rails will cache the generated HTML for these actions and serve them directly from the cache on subsequent requests, without having to re-run the controller action. B. Fragment Caching In this example, we are using fragment caching to cache a portion of a view template that renders a post. The cache key is automatically generated based on the contents of the block, so if the post is updated, the cache will automatically be invalidated. 2. Database Optimization: Another critical aspect of improving Ruby on Rails performance is optimizing your database. This involves identifying and eliminating slow queries, creating indexes on frequently queried columns, and using database connection pooling to reduce the number of database connections required. A. Indexing In this example, we are adding an index to the user_id column of the posts table. This will speed up queries that filter or order by this column. B. Eager Loading In this example, we are using eager loading to load all users and their associated posts in a single query. This reduces the number of queries required to render a page with a list of users and their posts. 3. Code Optimization: To achieve maximum Ruby on Rails performance, it's important to write efficient and optimized code. This includes reducing unnecessary database queries, minimizing the use of third-party libraries, and using optimized data structures and algorithms. A. Reducing Database Queries In this example, we are using eager loading to load all posts and their associated users in a single query. This reduces the number of queries required to render the view that displays the posts, and also avoids the N+1 query problem when accessing user data in the view. B. Minimizing Third-Party Libraries In this example, we are using a simple built-in Ruby method instead of a complex third-party library to process the post data. This reduces the amount of code and dependencies in the application and improves performance. 4. Load Balancing: As your application grows, you may need to scale out to multiple servers to handle the increased load. Load balancing allows you to distribute traffic across multiple servers, reducing the load on any one server and improving overall performance and availability. A. Using a Load Balancer In this example, we are using NGINX as a load balancer to distribute incoming HTTP requests across three backend servers. The upstream block defines the backend servers, and the proxy_pass directive forwards incoming requests to the backend servers. 5. Server Configuration: Finally, it's important to ensure that your server is configured correctly for optimal Ruby on Rails performance. This includes configuring the web server, database server, and application server to use the appropriate settings and hardware resources. Optimizing Database Connection Pooling In this example, we are optimizing the database connection pooling configuration for a production environment. The pool setting specifies the maximum number of database connections that can be open at the same time. We are using an environment variable to override the default pool size of 5, allowing us to adjust the pool size based on server capacity and load. In conclusion, achieving lightning-fast performance for your Ruby on Rails application requires a combination of caching, database optimization, code optimization, load balancing, and server configuration. By following these strategies, you can ensure that your application delivers a fast and responsive user experience and can handle high traffic and load with ease. You can explore my previous blog: Exceptions in Ruby and its type Or you can explore my other blogs too here,Get to know answers for common search on Google : A blog for posts which can help you for daily life problems, such as where to get free images, Topic suggestion for the blog.
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