Skip to main content

Magic of SpringBoot


 






⭐Spring:

πŸ‘‰ It Requires manual configuration for various aspects of the application, such as dependency injection, database connections, and web configurations.

πŸ‘‰We need to explicitly manage dependencies by including them in the project's configuration files (e.g., XML configuration, Java configuration).

πŸ‘‰Typically requires an external application server (e.g., Apache Tomcat, Jetty) for deploying applications.

πŸ‘‰ We need to manually configure features such as health checks, metrics, and externalized configuration for building production-ready applications.

πŸ‘‰ Offers a flexible but sometimes complex development experience due to the need for manual configuration and setup.




⭐SpringBoot:

πŸ‘‰It Offers auto-configuration, which automatically configures the Spring application based on the dependencies present in the classpath. This reduces the need for manual configuration.

πŸ‘‰It Simplifies dependency management by providing starter dependencies, which are pre-configured sets of dependencies for common use cases (e.g., web applications, data access). Developers can include these starters in their project, and Spring Boot will automatically manage the required dependencies.

πŸ‘‰Includes embedded servers (e.g., Tomcat, Jetty, Undertow) by default, allowing developers to create standalone applications without the need for an external application server.

πŸ‘‰It Provides production-ready features out of the box, including health checks, metrics, and externalized configuration, making it easier to build and deploy robust applications.

πŸ‘‰Offers a streamlined development experience with opinionated defaults and auto-configuration, allowing developers to quickly get started with Spring-based projects.




Comments

Popular posts from this blog

Understanding SQL in MySQL: From DDL to DCL

  πŸ“¦ MySQL is a widely-used relational database management system (RDBMS) that uses Structured Query Language (SQL) to manage and manipulate data. SQL is divided into several categories, each serving a specific purpose: DDL, DML, DQL, TCL, and DCL. 1. Data Definition Language (DDL) DDL commands are used to define and manage database structures such as tables, indexes, and schemas. The main DDL commands include CREATE, ALTER, DROP, and TRUNCATE. ⭐ CREATE: This command creates a new database object. CREATE TABLE students ( id INT PRIMARY KEY, name VARCHAR(100), age INT ); ⭐ ALTER : This command modifies an existing database object. ALTER TABLE students ADD COLUMN email VARCHAR(100); ⭐ DROP : This command deletes an existing database object. DROP TABLE students; ⭐ TRUNCATE : This command removes all records from a table without deleting the table itself. TRUNCATE TABLE students;

SQL vs NoSQL

  πŸ“¦ SQL vs NoSQL πŸ“‘ 🌟 SQL (Structured Query Language) :Organized and follows strict rules (like books on specific shelves). ▶ Think of it like a well-organized library where every book is placed neatly on a specific shelf. ▶ The shelves are labeled with categories, and each book has a specific spot. ▶ You have a strict rule about how books are organized, and every book follows this rule. 🌟 NoSQL (Not Only SQL) : Flexible and can be organized in different ways (like books on shelves, in piles, or in boxes). ▶ Now, imagine a different kind of library where books are placed in different ways. ▶ Some books are on shelves, some are in piles, and some are in boxes. ▶ There are no strict rules about where to put the books. You can organize them in whatever way makes sense at the time. 🎨 Use Cases: 🎒 SQL: Good for situations where you need to keep things very organized and follow rules, like keeping track of a catalog of books in a library. 🎑 NoSQL: Good for situations where you ne...

Logging in SpringBoot

  Hey Connections πŸ‘‹ Let's learn and grow together πŸ“ˆ 🌟 What is logging ??? ➡ loggers are like reporters for your application. They keep track of what's happening while your application runs, like noting down important events, errors, or just general information. πŸ“©There are different Logging Levels ⤵ πŸŒ† Events: Loggers record events, like when someone signs in or a new feature is added. ❌ Errors: They also note down errors, like when something goes wrong or an unexpected problem occurs. ⚠ Warnings: Sometimes, they give warnings if they see something that could be a problem later, like a traffic jam forming up ahead. πŸ‘¨‍πŸ’» Debugging: And if you need to figure out why something isn't working as expected, loggers can help by showing detailed information, like a detective piecing together clues. These logging levels help developers and operators understand the severity and importance of different log messages and prioritize them accordingly when troubleshooting or monitor...