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Back-End Technologies

Server-Side Programming Languages:

 

Node.js: 

  • 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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