Backend Development Case Studies - High-Load Systems & Microservices

PlayDeck is a developer toolkit that helps game creators integrate Telegram features and reach its 700M+ users. It enables in-game interactions, automated community tools, and seamless social sharing. Our team led the backend architecture, built real-time modules, secure payment systems, and ensured deep Telegram integration — all designed for scalability and high performance in a growing gaming ecosystem.

Technology Stack

• React
• TypeScript
• Kotlin
• Spring
• PostgreSQL
• ClickHouse
• JOOQ ORM
• Telegram Bot API
• Apache Kafka

A real-time data streaming system was developed for VTB Bank, capable of processing millions of messages per second. The project utilizes a tech stack based on Java 17, Spring, Kafka, PostgreSQL, as well as containerization and orchestration through Docker and Kubernetes. The solution enables real-time processing of vast amounts of data and ensures high performance for financial sector tasks.

Technology Stack

• Java 17
• Spring
• Kafka
• PostgreSQL
• Docker
• Kubernetes

Project Statistics

• Team Size: 5 people
• Duration: 9 months

A microservice architecture, including a biometric authorization system, was designed and implemented for Sber. The solution covers key client functions such as document generation, session tracking, and asynchronous integration with data spaces and other systems. The project is built using Spring, Java 17, Oracle, Docker, and Kubernetes for container management and scalability.

Technology Stack

• Spring
• Java 17
• Oracle
• Docker
• Kubernetes

Project Statistics

• Team Size: 5 people
• Duration: 18 months

A personalized advertising system for credit products was developed for Societe Generale Bank. The system includes a banner service, credit conveyor, and API for integration with external systems. The core technologies used include Java 11, Spring, Oracle, Docker, Kubernetes, and Jenkins for CI/CD processes. The project aims to improve customer engagement and automate credit operations.

Technology Stack

• Spring
• Java 11
• Oracle
• Docker
• Kubernetes
• Jenkins

Project Statistics

• Team Size: 5 people
• Duration: 12 months

The company developed a SaaS platform, EventStripe, designed for ticket sales at events, supporting high burst loads of up to 10,000 sessions. The project leverages modern technologies such as Next.js, Java 20, Spring, Docker, Kubernetes, and monitoring tools like Jenkins, ELK, and Grafana. The primary focus was to ensure system stability under high loads and provide scalability flexibility.

Technology Stack

• Spring
• Java 20
• Next.js
• Docker
• Kubernetes
• Jenkins
• ELK
• Grafana

Project Statistics

• Team Size: 3 people
• Duration: 12 months

A lightweight TOTP code provider was built for secure multi-factor authentication in corporate systems. Users can register a second factor and receive codes via email, Telegram, SMS, push, or authenticator apps. The service integrates with IAM platforms and supports session policies like device limits and timeouts.

Technology Stack

• Next.js
• TypeScript
• Telegram Bot API
• Redis
• PostgreSQL
• Docker
• CI/CD (GitHub Actions)