Understanding Concurrency in Backend Systems
Every backend system you build must handle multiple tasks simultaneously. A server that processes only one request at a time would immediately fail in a real-world environment where thousands of users
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Series
This series documents my learning journey through the "Backend from First Principles" playlist. Instead of jumping directly into frameworks, the focus is on understanding the core concepts that power backend systems.
Throughout this series, I explore how backend systems actually work — from the request-response lifecycle, HTTP fundamentals, routing, serialization, authentication, and validation to more advanced topics like caching, task queues, observability, security, and scaling.
The goal of this series is to build a strong conceptual foundation for backend engineering that applies across languages and frameworks. By learning backend development from first principles, we gain a deeper understanding of how modern web systems are designed, built, and scaled.
Every backend system you build must handle multiple tasks simultaneously. A server that processes only one request at a time would immediately fail in a real-world environment where thousands of users
Building scalable backend systems is not about memorizing a list of tools. It is about understanding where bottlenecks appear, how systems evolve with growth, and which techniques solve which problems
Modern backend systems must handle millions of requests, unpredictable traffic bursts, and strict latency expectations.Understanding performance metrics, bottlenecks, database optimization, caching, a
Modern backend systems rarely run on a single server for long. Deployments happen frequently, containers restart, orchestration systems replace instances, and infrastructure evolves continuously. Desp
Modern backend systems rarely run as a single application on a single server anymore. Today’s systems are distributed, run across multiple services, and operate in different regions and infrastructure
Configuration management is the systematic approach to organizing, storing, accessing, and maintaining the settings that control how an application behaves. These settings determine how software runs