The cloud did not appear out of thin air. Before it existed, large enterprises had to build and manage their own data centers a process involving millions of dollars, 40–75 people, and over a year of work. This post explores the era that made the cloud not just possible, but inevitable.
Parallel, Concurrent, and Asynchronous are three of the most misused terms in engineering. This post breaks them down from first principles from single-core processors to cloud-scale architecture and shows you exactly when to apply each one in real systems.
Learn about Directed Acyclic Graphs (DAG) and Topological Ordering - essential concepts for understanding dependencies in computer systems. Discover how DAGs power everything from build systems to database operations, and why topological ordering prevents execution bottlenecks.
Learn the fundamentals of data types in programming. Understand the difference between primitive and composite types, static vs dynamic typing, and how type systems work in languages like Java, GoLang, and Python.
Learn what transactions are in IT systems and why they matter. Understand ACID properties, see real-world banking examples, and discover how transactions ensure data consistency and reliability in modern applications through practical SQL and Java examples.
Discover why your server crashes during high traffic and how to fix it. Learn the fundamental difference between blocking and non-blocking I/O thread models, their impact on application scalability, and which server stacks use each approach. Essential reading for developers building high-performance applications.
Discover how the Observer Pattern enables automatic notifications in smartwatches, hospital monitoring systems, and modern applications. Learn about this essential design pattern from the Gang of Four that allows data sources to automatically push updates to interested observers without manual polling.
An overview of common HTTP methods, explaining how each one is typically used and which success and error status codes they most often returns when interacting with web APIs
Explains idempotency in API design with practical examples, showing how HTTP methods, idempotency keys, request hashes, and atomic database writes work together to prevent duplicate operations in systems like payments and e‑commerce.