Exploring Our Outsourcing Technology Stack

Backend technologies

Go or Golang (Echo, Fiber)

We also use Go (or Golang), a statically typed, compiled language that's known for its simplicity and efficiency. It's particularly well-suited for high-performance applications that require concurrency. We use Echo and Fiber, two of the most popular Go web frameworks, for building our Go applications.

Echo provides a minimalistic yet powerful framework for developing web applications. It offers a robust set of features, including routing, middleware support, and data binding. Fiber, on the other hand, is a web framework built on top of Fasthttp, the fastest HTTP engine for Go. It's designed to be easy to use, fast, and concurrent, offering a great option for building efficient web applications.

Js (Nest JS, Express)

JavaScript, particularly Node.js, plays a significant role in our technology stack. We use two popular Node.js frameworks: Nest JS and Express. Nest JS is a progressive Node.js framework that helps us build efficient, reliable, and scalable server-side applications. It's built with TypeScript and combines elements of OOP (Object Oriented Programming), FP (Functional Programming), and FRP (Functional Reactive Programming).

Express, on the other hand, is a minimalist web application framework for Node.js. It provides a simple interface for building web applications and APIs, with a robust set of features for web and mobile applications. It offers a thin layer of fundamental web application features, allowing us to build applications with a great deal of flexibility.

Java (Spring, Springboot)

Java is another integral part of our backend technologies, and we use the Spring and Springboot frameworks for our Java applications. Spring is a powerful, lightweight framework used for developing Java applications. It offers a comprehensive programming and configuration model that supports a wide range of applications.

Springboot, a project built on top of the Spring Framework, simplifies the setup and development of Spring applications. It offers a 'just run' philosophy, which significantly reduces the configuration and setup time of Spring applications. It's a perfect choice for creating stand-alone, production-grade Spring applications that can be just run.

#2 Backend

.NET (C#, ASP, ETC)

Microsoft's .NET framework is another cornerstone of our backend technologies. It offers a powerful, flexible platform for building a wide range of applications, from web to mobile, to Windows-based applications. We use several languages and technologies within the .NET framework, including C#, ASP.NET, and VB.NET.

C# (C Sharp) is a simple, modern, object-oriented, and type-safe programming language derived from C and C++. ASP.NET is an open-source, server-side web application framework designed for web development to produce dynamic web pages. VB.NET (Visual Basic .NET) is a multi-paradigm, object-oriented programming language, implemented on the .NET Framework. Together, these tools provide a robust environment for backend development.

Rust

Rust is a relatively new addition to our technology stack. It's a system programming language focused on safety, especially safe concurrency, and performance. It's syntactically similar to C++, but its designers intend it to provide better memory safety while maintaining high performance. It's a great tool for creating highly concurrent and high-performance applications, and we're excited about the possibilities it brings to our technology stack.

PHP (Laravel)

At the heart of our backend technologies is PHP, specifically the Laravel framework. As the backbone of our server-side operations, Laravel provides a clean, elegant syntax that allows us to build robust applications with ease. It's simplicity and powerful capabilities have made it our primary choice for backend development.

From routing, security, sessions, to caching, Laravel offers all the tools we need to build full-featured web applications. It's integrated with a powerful ORM (Eloquent), which makes database operations a breeze. It also offers a powerful queue system for handling background jobs, and it's easy to integrate with other tools and services.

Deep dive into Database technologies

PostgreSQL

PostgreSQL is one of the primary databases we use in our projects. It's an open-source object-relational database system that uses and extends the SQL language combined with many features that safely store and scale the most complicated data workloads. It's highly scalable, both in the sheer quantity of data it can manage and in the number of concurrent users it can accommodate.

MySQL

MySQL is another database we frequently use. It's an open-source relational database management system. It's a central component of the LAMP open-source web application software stack (and other 'AMP' stacks). Its ease of use, speed, and flexibility make it an excellent choice for a wide range of database applications.

MongoDB

MongoDB is a source-available cross-platform document-oriented database program. Classified as a NoSQL database program, MongoDB uses JSON-like documents with optional schemas. It provides high performance, high availability, and easy scalability.

Redis

Redis is an in-memory data structure project implementing a distributed, in-memory key-value database with optional durability. It supports various types of data structures and is often used as a cache or a message broker. It's a great tool for building high-performance, scalable web applications.

API Gateway: Kong, Nginx, Traefik

For our API Gateway, we use Kong, Nginx, and Traefik. Kong is a cloud-native, fast, scalable, and distributed Microservice Abstraction Layer (also known as an API Gateway or API Middleware). Nginx is a web server that can also be used as a reverse proxy, load balancer, mail proxy, and HTTP cache. Traefik is an open-source Edge Router that makes publishing your services a fun and easy experience.

Data Streaming: Confluent (Kafka), RabbitMQ

Data streaming is a critical part of our technology stack, and for this, we use Confluent (Kafka) and RabbitMQ. Confluent, founded by the creators of Apache Kafka, provides a more complete distribution of Kafka designed for mission-critical production workloads. RabbitMQ, on the other hand, is a robust, easy-to-use, and flexible message broker, which we use to manage our communication between services.

Cloud Platforms: GCP, AWS, Azure

When it comes to cloud platforms, we use GCP (Google Cloud Platform), AWS (Amazon Web Services), and Azure. These platforms provide a wide range of cloud services, including computing power, storage options, and various other functionalities that enable us to scale our applications quickly and efficiently.

Containerization: Kubernetes, Docker

For containerization, we rely on Kubernetes and Docker. Docker is an open-source platform that automates the deployment, scaling, and management of applications. It encapsulates applications into containers, ensuring their smooth operation across different computing environments. Kubernetes, on the other hand, is an open-source container orchestration system for automating application deployment, scaling, and management. It works perfectly with Docker and other container technologies.

Monitoring and Logging: APM Log, EFK, Prometheus, Grafana

Monitoring and logging are crucial for maintaining the health and performance of our applications. We use various tools for this, including APM (Application Performance Monitoring) for real-time monitoring, EFK (Elasticsearch, Fluentd, Kibana) stack for centralized logging, Prometheus for event monitoring and alerting, and Grafana for visualizing metrics.