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FastAPI Alembic Migrations with PostgreSQL, SQLModel, and Docker

James Fielder API Development, Articles, Cloud, Databases, PostgreSQL, Python Leave a Comment

When building a FastAPI project with PostgreSQL, you need a reliable way to manage your database schema over time. As your application evolves, simple table creation is not enough. You need a way to safely apply, track, and roll back changes.

Alembic provides a structured, version-controlled approach to database migrations. In this guide, weโ€™ll walk through how to set up Alembic with FastAPI, SQLModel, and PostgreSQL, including common issues youโ€™ll run into when working with Docker.

How to Implement a Clean Service Layer in Flutter (With API Examples)

Jimmy Patterson API Development, Articles, Development Technologies & Tools, Flutter, Mobile Leave a Comment

This blog walks through building a clean, modular service layer in Flutter to keep mobile apps scalable, maintainable, and resilient to change. Using real examples with third-party APIs, it demonstrates how to abstract logic, structure code for API calls, and easily swap data sources without major rewrites. Youโ€™ll also learn strategies like creating request/response classes and centralizing error handling to reduce redundancy and improve code quality.

How to Optimize API Performance for High-Traffic Applications

Adi Rosenblum All Industries, API Development, Keyhole, Videos Leave a Comment

When an application struggles to keep up with user demand, slow response times can frustrate users and impact business performance. Without proper optimization, heavy traffic can lead to slow load times, system crashes, and lost opportunities. At Keyhole Software, we specialize in helping businesses optimize API performance for high-traffic applications to ensure their systems remain fast, reliable, and scalable. In …

Achieving Effective Test Code Coverage

Achieving Effective API Test Coverage: Best Practices and Tools

Geoffrey Blogref API Development, Articles, Testing Leave a Comment

Test coverage is a metric that measures how much of your codebase is exercised by tests, providing insight into the effectiveness of your testing efforts. In this blog, weโ€™ll focus on API projects, exploring the types of tests suited for code coverage, realistic goals (and tools to help achieve them), and the minimum coverage needed to reap the benefits of your tests.

Testing your codeโ€”down to individual linesโ€”is a critical practice in modern software development. It helps ensure applications remain reliable, stable, and maintainable, all while balancing practical constraints.