Overview
Explore the core technologies and practices that power modern DevOps workflows
Programming
The foundation of software development, enabling the creation of applications and services.
Frameworks & Libraries
Tools that accelerate development by providing pre-built components and functionality.
DevOps & Cloud
Technologies that enable continuous integration, deployment, and scalable infrastructure.
Databases
Systems for storing, retrieving, and managing data with different performance characteristics.
Tools
Utilities that support the development lifecycle from planning to monitoring.
technologies.categories.title
technologies.categories.description
Java
Object-oriented programming language known for its 'Write Once, Run Anywhere' capability
technologies.role: Backend Development
TypeScript
JavaScript with syntax for types, enhancing code quality and developer experience.
technologies.role: Frontend development, type-safe APIs
Python
A high-level language known for readability and versatility in various domains.
technologies.role: Data processing, automation, ML/AI integration
Shell
Command-line scripting for automation of system tasks and deployment processes.
technologies.role: DevOps automation, system administration
Microservices Architecture
A comprehensive view of our microservices-based e-commerce platform architecture
Client Applications
API Gateway
Kafka Message Broker
Microservices
Data Layer
Infrastructure
Integration & Deployment
Streamlined CI/CD pipelines and deployment strategies
Development
The development workflow integrates various technologies to ensure code quality, collaboration, and efficient delivery of features.
Feature Development
Developers work on features using TypeScript for frontend (React) and Java/Spring Boot for backend services.
Version Control
Code is managed in GitLab repositories with branch-based workflow and merge requests for code reviews.
Code Review
Team members review code changes for quality, security, and adherence to architectural patterns.
Automated Testing
Unit tests, integration tests, and end-to-end tests verify functionality across the microservices.
Local Development
Docker Compose enables developers to run the entire system or specific services locally for testing.
Continuous Integration
GitLab CI runs automated builds and tests for every code change to catch issues early.