Serverless Node.js on AWS Lambda: patterns and pitfalls
Introduction Serverless computing has changed how developers build backend applications. With AWS Lambda, you can run Node.js code without managing...
Using TypeORM for Database Access in Node.js
Introduction Working with relational databases in Node.js often requires a clean abstraction layer that simplifies queries, reduces boilerplate, and promotes...
Microservices with NestJS: a Progressive Node.js Framework
Introduction Microservice architecture has become the standard for applications that must grow quickly and serve large numbers of users. As...
GraphQL Servers with Apollo & Express
Introduction GraphQL has transformed how developers design modern APIs by offering flexible querying, predictable schemas, and efficient data fetching. When...
SQLAlchemy Best Practices with PostgreSQL
Introduction SQLAlchemy is one of the most powerful ORM and database toolkits in the Python ecosystem. When paired with PostgreSQL,...
Building Microservices with Python and gRPC
Introduction Microservice architectures demand fast, reliable communication between services. Traditional REST APIs are simple and flexible, but they can become...
Data Analysis with Pandas for Backend Engineers
Introduction Backend engineers increasingly work with data-heavy systems, whether they support analytics pipelines, API-driven applications, internal dashboards, or large-scale ETL...
Framework Showdown: Flask vs FastAPI vs Django in 2025
Introduction Choosing the right Python framework is one of the most important decisions when designing modern web applications. The landscape...
Deploying Python Apps with Docker & Kubernetes
Introduction Deploying Python applications consistently across different environments can be challenging. Systems often behave differently on development machines, staging servers,...