Ruby on Rails is the most popular web framework in the Ruby ecosystem and has a large user base, ranging from freelancers to large established companies. With an active user community and wide-ranging documentation, it can be used to build everything from simple applications to complex web platforms. That said, a new contestant is taking on Rails’ dominance for the full-stack Ruby framework title: Hanami.

Erlang is renowned for its remarkable fault tolerance and high concurrency. Erlang's scheduler efficiently handles many lightweight processes. The scheduler plays a crucial role in managing processes, concurrency, and system resources, efficiently coordinating these elements to help Erlang maintain fault tolerance and support high levels of concurrency in its applications. This post will dissect some of the scheduler's key components and shed light on how it works internally. Let's get started!

Grape is a popular Ruby framework for building RESTful APIs. Exception handling plays a crucial role in ensuring the stability and reliability of any application, including those made with Grape. This article will explore the basics of Grape exception handling, including customizing exceptions. We'll also touch on some best practices, and how to integrate your app with AppSignal for enhanced error monitoring and management. Let's get started!

Rate limiting is a fundamental mechanism for controlling the number of requests a client can make to a server in a given time frame. In a world where more than 30% of web traffic comes from malicious bots, that proactive strategy is critical to protect servers from abuse. In this tutorial, you'll delve into the concept of rate limiting and understand why you need it in your Node.js backend. Then, you'll learn how to implement it in Express to block or slow down incoming excess requests.

As your Elixir app grows, you might need advanced control over how and where to perform background tasks or pull them off queues to manage back pressure. In this post, you will learn how to handle background jobs with Flume, a job processing system that uses GenStage and Redis. It provides durability, back pressure, job scheduling, rate limiting, and batch processing, among other things. We will expand on each of these features in detail.

The AWS Cloud Development Kit (CDK) lets you build serverless applications with the expressive power of a programming language like TypeScript. The CDK defines cloud infrastructure in code and deploys via AWS CloudFormation. In this post, we will build a Lambda function, an AWS Gateway API, and an S3 bucket to upload CSV files. The API will take requests in JSON and seamlessly convert them to CSV format. We will use the AWS CDK in TypeScript to reliably deploy our app through AWS CloudFormation. Ready?

One great feature that comes with modern web frameworks is the ability to manage database schema migrations. However, schema migrations are not 100% safe and remain a recurring cause of issues within projects I have encountered over the last 15 years. This article will review the issues surrounding poorly managed schema migrations and then look into Strong Migrations, a gem that can help you avoid most problems. Finally, we will discuss a few good practices around database management. Let's get started!

In this post, we'll add file upload capabilities to a Phoenix LiveView application and directly upload files to Amazon S3. Without further ado, let's get started!

In part one of this series, we used Hotwire's Stimulus and Turbo Frames to present modals in Rails. Now, we'll dive into another method we can use to present modals: Turbo Streams.

Node.js offers a rich set of performance data through its APIs, similar to how modern web browsers expose performance metrics for webpages. With tools like the Performance Measurement API and the perf_hooks module in Node.js, you can gain insights into your application's performance from the server's perspective, closely aligning with what the end user experiences. In this article, the first of a two-part series about performance hooks, we'll explore how to approach performance optimization in Node.js.