Allows developers to build and run JavaScript applications.
Asynchronous.
Non-blocking I/O operations: the program can execute other tasks while waiting for I/O operations to complete.
Built on the V8 JavaScript engine.
Used for building real-time applications.
Is cross-platform.
Python
Programming language.
Can be used for web development, data analysis, scientific computing, automation, AI, etc.
Do not need to declare the data type of a variable explicitly.
Extensive standard library that provides functions: file handling, string manipulation, networking, etc.
Ruby
Known for its elegant syntax and used with the Ruby on Rails framework.
Java
Platform-independent.
Used for a wide range of applications.
Runs on Java Virtual Machine (JVM).
Uses C++ and C#.
Server-Side Frameworks:
Express.js
A minimalist framework for building web applications with Node.js.
Ruby on Rails
A powerful framework for building Ruby applications.
Django
Python framework that promotes rapid development and clean, pragmatic design.
Spring Boot
Open-source Java framework.
Reduces the need for extensive configuration.
Includes embedded servlet containers (Tomcat, Jetty, and Undertow).
Production-ready management endpoints and tools that provide information about the application’s runtime behavior, such as health status, metrics, and environment details.
Relational Databases:
MySQL
Easy to use.
Popular choice for web applications, small-to-medium-sized businesses.
Good performance in read-heavy workloads.
Used for web applications, content management systems, e-commerce platforms, and various data-driven applications.
PostgreSQL
Supports JSON and other NoSQL-like features.
Great data integrity and adherence to standards.
Allows developers to create custom data types, operators, and functions.
Well-suited for applications with unique needs.
SQLite
Does not require a separate server process to operate. The database engine is embedded directly into the application, and it reads and writes to a single file on disk.
Cross-platform.
Minimal memory footprint.
NoSQL Databases:
MongoDB
Popular open-source NoSQL database management system.
Designed to handle large volumes of data, provide high performance, and allow for flexible and dynamic data modeling.
Stores data in documents in self-contained units that can hold complex data structures.
Cassandra
Query language like SQL.
Fault-tolerant.
Flexible schema-less data model.
Redis
Stands for Remote Dictionary Serve.
Open-source, in-memory data structure store.
It can store and manipulate a wide variety of data structures, not just simple key-value pairs.
Designed for speed, scalability, and flexibility.
API Development:
REST (Representational State Transfer)
Architectural style for designing networked applications.
GraphQL
A query language for APIs that allows clients to request specific data.
Server Management:
Nginx
A web server used as a reverse proxy and for load balancing.
Apache
Most widely used web servers.
Apache Tomcat: open-source application server used to deploy and manage Java-based web applications.
Apache Maven: build automation and project management tool used for building, packaging, and managing Java projects.
Apache Spark: open-source data processing and analytics framework that supports batch processing, stream processing, machine learning, and graph processing.
Apache Hadoop: ecosystem of open-source tools and libraries for processing and analyzing large datasets.
And eight other technologies.
Authentication and Authorization:
Libraries like OAuth, JWT (JSON Web Tokens), and sessions to manage user authentication and access control.
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