Event-Driven Architecture Consulting
Design and implement event-driven systems designed for scalability using Kafka & RabbitMQ
Build systems that scale through events, not bottlenecks. We design and implement event-driven architectures (EDA) for backend systems designed to handle high load, real-time processing, and complex integrations. Instead of tightly coupled request–response logic, we build asynchronous, resilient systems based on events and message streams. This service is ideal for platforms where performance, reliability, and scalability play a critical role: fintech, SaaS, data platforms, and enterprise systems.
What We Deliver
Event-Driven System Design
- Domain-driven event modeling
- Clear separation of producers and consumers
- Asynchronous workflows and decoupled services
Messaging & Streaming Platforms
- Apache Kafka for high-throughput event streams
- RabbitMQ for task queues and async workflows
- Topic, queue, and consumer group design
Microservices & Events
- Event-based communication between services
- Saga patterns & eventual consistency
- Reliable message delivery and retries
Scalability & Reliability
- Horizontal scaling through consumers
- Backpressure handling
- Dead-letter queues and failure recovery
Observability & Operations
- Event tracing and monitoring
- Lag monitoring and alerting
- Debugging distributed event flows
Typical Problems We Solve
Our Approach
Typical Outcomes of Event-Driven Architectures
Technology Stack
Why H-Studio
Results we're
proud to show
FAQ
Kafka excels at high-throughput event streaming, log aggregation, and real-time data pipelines. RabbitMQ is ideal for task queues, request-reply patterns, and simpler message routing. We help you choose based on your load, latency requirements, and use cases.
We implement idempotency, retry logic, dead-letter queues, and proper acknowledgment patterns. We also design for eventual consistency and handle failure scenarios gracefully.
Yes — we design migration paths that gradually introduce events while maintaining system stability. This includes identifying event boundaries, implementing producers/consumers, and ensuring backward compatibility during transition.
We set up comprehensive monitoring with Prometheus and Grafana, track consumer lag, monitor message throughput, set up alerts for failures, and provide visibility into distributed event flows.
Yes — we help integrate event-driven patterns into existing microservices architectures, add event producers/consumers, and improve service decoupling through events.
Event-driven architecture consulting for companies operating production systems. We support organizations with Kafka and RabbitMQ implementations, event-driven systems, and microservices architecture based on the specific technical and regulatory context of each project. All services are delivered individually and depend on system requirements and constraints.
System scalability, reliability, and performance depend on architecture, workloads, infrastructure, and operational practices. No specific throughput or availability guarantees are provided.