Largest Contentful Paint

Is your goal to rank first on Google? Have you already tried using the best keywords and strategies to rank higher but none of that has worked? It might be because your LCP, or Largest Contentful Paint, score is high and needs improvement.

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ReadyTech Accelerates Revenue Growth, Cuts Infrastructure Costs 5-10% with Ruby on Rails Upgrade

Based in Sydney, Australia, ReadyTech combines technology with a people-centric approach to help organisations navigate complexity and deliver meaningful outcomes. With more than 500 employees globally, the publicly-traded company continues to grow rapidly and now serves 4,000+ customers across three vertical segments: Education & Work Pathways, Workforce Solutions, and Government & Justice.

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How To Delay A Rails Upgrade

Maintaining an up-to-date Ruby on Rails application is crucial for performance, security, and feature enhancements. However, finding the time for a full-scale upgrade can be challenging. In this blog post, we’ll explore practical steps you can take to delay a Rails upgrade when you don’t have the immediate bandwidth but want to set the stage for a seamless process in the future.

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Machine Learning: An Introduction to Gradient Boosting

Welcome to the third article in our Machine Learning with Ruby series!

In our previous article Machine Learning: An Introduction to CART Decision Trees in Ruby, we covered CART decision trees and built a simple tree of our own. We then looked into our first ensemble model technique, Random Forests, in Machine Learning: An Introduction to Random Forests. It is a good idea to review that article before diving into this one.

Random Forests are great for a wide variety of cases, but there are also situations where they don’t perform quite as well. In this article we’ll take a look at another popular tree-based ensemble model: Gradient Boosting.

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Machine Learning: An Introduction to Random Forests

In our previous article Machine Learning: An Introduction to CART Decision Trees in Ruby, we covered CART decision trees and built a simple tree of our own. Decision trees are very flexible and are a good tool for simple classification, but they are often not enough when it comes to real-world scenarios.

When dealing with large and complex data, or when dealing with data with a significant amount of noise, we need something more powerful. That’s where ensemble models come into play. Ensemble models combine a number of weak learners to build a strong model, with increased accuracy and robustness. Ensembles also help manage and reduce bias and overfitting.

In this article, we’ll cover a very popular tree-based ensemble model: Random Forest.

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Machine Learning: An Introduction to CART Decision Trees in Ruby

In the middle of last year, we released an internal tool to help address a pretty significant issue. That is how the Pecas tool was born, and you can read about the Business Case for Pecas here.

Pecas relies on a binary classification machine learning model to classify time entries as valid or invalid. It is a combination of a Django app, that hosts the Slackbot and other data processing tasks, and a FastAPI app that hosts the machine learning model built using the Scikit-learn Python library. Scikit-learn provides a great set of classification models you can use, which are optimized and very robust, making it a solid choice to build your model. However, understanding the principles behind the classification can be a bit tricky, and machine learning models can feel a bit like a black box.

In this series, we’ll explore some principles of machine learning, namely binary classifiers, and walk through how they connect to each other, in Ruby. This article will focus on decision trees, namely CART (Classification And Regression Trees) and a little bit of the mathematics behind them.

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Rails Performance Unveiled: Identifying Common Culprits

When it comes to improving application performance and areas to focus on, I would recommend looking at the APM data, and then deciding which areas to prioritize.

However this article isn’t about where to focus efforts, but rather a compilation of techniques to improve your application’s performance, from tackling common problems like N+1 queries and database indexing to leveraging the jemalloc memory allocator. Let’s look at these performance-boosting strategies designed to fine-tune your application.

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A Step-by-Step Guide to Upgrading Your Ruby Version

Every year, Ruby enthusiasts anticipate the December release of a new Ruby version. At the end of 2023, Ruby 3.3 was released and you can read this article to learn more about the new features and improvements it brings. This makes it a good time to start considering if your application is due for an upgrade.

Upgrading your application can sound complicated and difficult, but it doesn’t have to be. Below, we will discuss how to identify when to upgrade your Ruby version and the steps necessary to complete a smooth and successful upgrade.

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RubyConf 2023 – A Ruby Renaissance

Late last year our team members headed to beautiful San Diego to join the incredible Ruby community at RubyConf 2023. Attending the conference is always a highlight, and we were excited to participate as a sponsor and engage with attendees, learn and share expertise, and have some fun.

The Ruby community is special. It has an incredibly inclusive and supportive culture that feels different than other languages. It was great to take some time to come together and enjoy the community’s hard work, network, and plan for the future.

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Serving ActiveStorage attachments through a CDN

Here at FastRuby.io we always try to have our own applications in such a state that they can always be pointed to as models in terms of performance and accessibility.

One of the tools we use to achieve that is our CDN. After all, considering we have clients everywhere from the US to New Zealand, we want anyone perusing our websites to have good loading times for the pages and, especially, the assets.

However, no matter how thorough, one always misses a spot or two.

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How to use Brakeman to find Rails security vulnerabilities

Security is a huge concern for web applications. To protect your Rails app from potential vulnerabilities and threats, it’s essential to perform regular security assessments. Brakeman, a widely used static analysis tool for Ruby on Rails, can help you identify security vulnerabilities proactively.

In this article, we’ll explore how to use Brakeman to check your Rails app for security vulnerabilities.

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