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- Written by: Timothy Michel
Introduction
Modern web applications are no longer single, monolithic systems. Instead, they are composed of multiple layers that must work together coherently: a backend API, a frontend client, a database, and a deployment pipeline.
Designing these systems requires more than choosing frameworks. It requires establishing clear boundaries between components, defining how data flows through the system, and ensuring that changes can be tested, packaged, and deployed reliably.
This article outlines an approach to building and deploying a full-stack application using a Rails API backend and a React + TypeScript frontend, with an emphasis on testing, containerization, and CI/CD workflows.
Read more: Designing a Rails API + React Architecture for Production Deployment
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- Written by: Timothy Michel
Introduction
Modern web services must handle multiple requests simultaneously while maintaining responsiveness and efficiency. Traditional synchronous programming models can limit scalability because each request may block the execution of others.
Go addresses this challenge through built-in concurrency features, most notably goroutines.
Goroutines enable applications to perform concurrent operations efficiently without requiring complex thread management.
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- Written by: Timothy Michel
Introduction
Modern frontend development requires build tools that can efficiently manage module bundling, hot reloading, and dependency optimization. Traditional tools such as Webpack were designed during a period when frontend applications were smaller and build pipelines were less complex.
As applications grew larger, developers began to experience slower startup times and longer rebuild cycles during development.
Vite addresses these issues by introducing a development server and build pipeline designed around modern browser capabilities and native ES modules.
Read more: Extending React + TypeScript Development with Vite
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- Written by: Timothy Michel
Introduction
Many web applications rely on location data to support core functionality. Applications that coordinate events, track deliveries, or provide location-based services must be able to efficiently store geographic information and perform spatial queries against that data. Standard relational databases can store latitude and longitude values, but they lack the specialized indexing and query capabilities required for efficient geospatial analysis.
PostGIS extends PostgreSQL with geospatial capabilities that enable applications to store geographic objects and perform spatial operations directly within the database engine. This allows location-based queries to be executed efficiently without requiring additional application-level processing.
Read more: Using PostGIS to Enhance Data Storage and Retrieval in PostgreSQL