Introduction Microservice architectures demand fast, reliable communication between services. Traditional REST APIs are simple and flexible, but they can become...
Introduction Backend engineers increasingly work with data-heavy systems, whether they support analytics pipelines, API-driven applications, internal dashboards, or large-scale ETL...
Introduction Deploying Python applications consistently across different environments can be challenging. Systems often behave differently on development machines, staging servers,...
Introduction Real-time features such as live notifications, chat messaging, dashboards, and collaborative tools all rely on persistent, low-latency communication between...
Introduction Building scalable backend systems often requires processing tasks outside the main request-response cycle. Whether you are sending emails, generating...