VTB Bank

This enterprise-grade solution handles real-time financial data processing with sub-second latency, designed to support regulatory and security requirements common in banking environments.

This case study describes a project-specific technical implementation carried out within a restricted enterprise environment. Details are presented in an anonymized and generalized form and do not disclose confidential internal systems or processes.

Challenge

The bank needed to migrate from a legacy ETL-based data processing model to a real-time streaming infrastructure. The existing ETL system was too slow, too rigid, and not designed for real-time processing. The new platform had to: • Process transactions and events in real time • Enable near-real-time detection of suspicious patterns and anomalies • Continuously update risk models • Handle massive data volumes stably • Scale seamlessly – with minimal downtime • Fully meet compliance and security requirements In short: a real-time streaming architecture that combines enterprise banking standards with modern, agile engineering practices.

Our Approach

Event-Driven Architecture We developed a fully event-driven backend platform based on Apache Kafka as the central messaging backbone. Microservices + Kubernetes All services were containerized and orchestrated in a Kubernetes cluster: • automatic scaling • self-healing • rolling deployments without downtime Data Integrity at Massive Throughput To prevent data loss and duplicates with millions of events, we implemented: • a custom retry engine • deduplicated event processing • robust commit strategies • in-memory caching for hot paths Reliability & Observability Monitoring, logging, and alerting are based on: • Prometheus • Grafana • ELK Stack This gives the bank team real-time insight into latencies, throughput, and system health.

Results

• High-throughput event processing capable of handling millions of events per second in production environments
• Significant reduction in end-to-end processing latency compared to the legacy ETL-based system
• High availability achieved through redundant architecture and fault-tolerant system design (project-specific production environment)
• Noticeable reduction in operational complexity and manual intervention compared to the previous setup

Technical Stack

Why it Matters

The same streaming-first principles and microservice orchestration logic are now core to H-Studio's backend designs for modern startups — where live analytics, event logs, and real-time customer data are essential.