DevJourney – Web Development for Beginners

  Introduction Have you ever clicked: Continue with Google Login with GitHub Sign in with Facebook Login with Microsoft on a website or application? Instead of creating a new account and password, you simply authorize the application using an existing account. Behind this seamless experience is a powerful authorization framework called OAuth 2.0 . Today, OAuth 2.0 is used by: Social media platforms SaaS applications Enterprise software Mobile applications Cloud services APIs It has become the industry standard for secure authorization. In this guide, you'll learn: What OAuth 2.0 is How it works OAuth vs Authentication OAuth roles and components Authorization flows Real-world examples Security best practices What is OAuth 2.0? OAuth 2.0 is an authorization framework that allows applications to access user resources on another service without sharing passwords. Simple Definition OAuth lets users grant limited access to their data without givi...

  Introduction Modern applications require secure user authentication. Whenever users: Log in to a website Access a dashboard Make payments Use protected APIs the application needs a secure way to verify identity and authorize access. Traditional session-based authentication has been widely used for years, but modern applications increasingly rely on JSON Web Tokens (JWT) because they work exceptionally well with: Single Page Applications (SPAs) Mobile Applications Microservices REST APIs Cloud-Native Applications In this guide, you'll learn everything about JWT authentication, including how it works, its advantages and disadvantages, implementation examples, and security best practices. What is JWT? JWT stands for JSON Web Token . It is an open standard used to securely transmit information between parties as a JSON object. A JWT is: Compact Self-contained Digitally signed This allows servers to verify users without storing session information on the ...

  Introduction In database design, developers are often taught to normalize data to reduce redundancy and improve consistency. Normalization is an essential concept and forms the foundation of relational database design. However, as applications grow and begin handling: Millions of users Billions of records Complex reporting systems Real-time analytics High-traffic APIs Fully normalized databases can sometimes become a performance bottleneck . This is where database denormalization becomes useful. Large companies often intentionally introduce duplicate data to improve performance and reduce expensive database operations. At first glance, this may seem wrong because normalization teaches us to avoid redundancy. However, in large-scale systems, performance sometimes becomes more important than perfect normalization. In this guide, you'll learn: What denormalization is Why companies use it Benefits and drawbacks Real-world examples Best practices Whe...