# Backend

**Programming Languages and Frameworks**

White Basics uses a combination of high-performance programming languages for backend development. Rust is used for critical components and smart contracts, ensuring maximum performance. Go (Golang) is used for microservices requiring high concurrency, using the Gin framework for REST API and gRPC for inter-service communication.

For tasks requiring rapid development and flexibility, Node.js with Express.js and TypeScript is used. Python finds its place in analytics and machine learning services, using FastAPI to create high-performance APIs.

**Databases**

White Basics' database architecture is built on the principle of "the right tool for the right job". PostgreSQL serves as the main relational database for storing structured data about users, transactions, and memecoins. MongoDB is used for working with unstructured data, storing analytical data, logs, and memecoin metadata.

Redis performs the role of an in-memory database for caching and quick data access, including session storage and queue organization. For specific tasks, InfluxDB (storing metrics and system monitoring) and Neo4j (analysis of social connections and operation of recommendation systems) are used.

**Server Infrastructure and Scaling**

White Basics is built on modern Amazon Web Services (AWS) cloud infrastructure, ensuring high availability and scalability. The multi-regional architecture guarantees low latency worldwide, and AWS Auto Scaling allows automatic adaptation of resources to current load.

The entire system operates in Docker containers, orchestrated by Kubernetes, providing flexibility and efficiency in resource management. AWS Elastic Load Balancing is used for traffic distribution, and CDN (Amazon CloudFront) helps reduce the load on main servers.

Interaction between microservices is organized through Apache Kafka and Amazon SQS, allowing efficient processing of large data streams and load balancing. A multi-level caching system using Redis and Memcached provides quick access to frequently requested data.

A set of tools is used to monitor and analyze system operation: Prometheus and Grafana for collecting metrics, ELK Stack for centralized log analysis, and AWS CloudWatch for monitoring cloud resources.

Such a comprehensive infrastructure allows White Basics to provide high performance and reliability, supporting millions of active users and processing huge volumes of transactions in real-time.

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