VTB Bank

Enterprise-grade data streaming platform for real-time financial processing

VTB Bank Data Streaming Platform

For VTB Bank, H-Studio developed an Enterprise-Streaming-Infrastructure designed to process high volumes of financial events in real time, with low-latency processing, compliance-aligned architecture, and high-availability design. The platform is used as a core component within several security-critical banking workflows.

Challenge

The bank faced a business-critical modernization phase: 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 • Detect fraud attempts immediately • Continuously update risk models • Handle massive data volumes stably • Scale predictably with deployment strategies designed to minimize downtime • Fully meet compliance and security requirements In short: a real-time streaming architecture that combines banking standards with startup speed.

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 designed to reduce service interruptions 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 real-time event processing at scale
  • Significantly reduced end-to-end processing latency compared to the previous system
  • High-availability architecture with redundancy and fault tolerance
  • Reduced operational complexity and pipeline overhead
  • Architecture designed to support auditability and regulatory requirements

Technical Stack

Backend: Java 17 · Spring

Streaming: Apache Kafka

Database: PostgreSQL

Infrastructure: Docker · Kubernetes

Duration: 9 months

Team: 5 engineers

Why it Matters

The architecture principles from this project – event-driven design, microservices, streaming pipelines, and Kubernetes-orchestrated high-load systems – now shape many backend solutions from H-Studio. Everywhere that live analytics, transaction data, risk scoring, or real-time logs are business-critical, this architecture pattern serves as a foundation for scalable, reliable, and secure backend infrastructures.

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