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Event Driven Architecture & Event Streaming & Event Sourcing

Find the right architecture for the problem first, then the right product.

Overview

Build scalable, real-time event-driven systems with the right architecture and technology. We provide comprehensive EDA solutions including architecture design, stream processing, and integration with existing systems. Whether it's Apache Kafka for high-throughput event streaming or dedicated event sourcing platforms like EventStore, Kurrent, Axon Framework, we help you find the right fit.

With deep expertise in event-driven architecture patterns, Apache Kafka, and event sourcing technologies, we help organizations unlock the power of real-time data processing, event-driven integration, and system decoupling. We treat Domain Events as first-class architectural elements, enabling natural decoupling along context boundaries. We trained on Designing & Building Event-Driven Systems at GOTO Copenhagen, 2024.

Technology Ecosystem

Apache Kafka

Kafka Connect

Kafka Streams

Schema Registry

EventStore

Axon Framework

Use Cases

Event Sourcing

Capture all changes as a sequence of events for complete audit trails and system replay.

Real-Time Analytics

Process and analyze streaming data in real-time for immediate business insights.

Microservices Integration

Decouple microservices with asynchronous event-driven communication.

Event Streaming

Build reliable data pipelines for moving data between systems with Kafka Connect.

Log Aggregation

Centralize logs from multiple services for monitoring and analysis.

CQRS Pattern

Implement Command Query Responsibility Segregation with an event database.

Implementation Approach

Example: Apache Kafka Implementation

1

Gather Quality Requirements

Understand the quality attributes and non-functional requirements driving the architecture.

2

Find the Appropriate EDA

Evaluate event-driven architecture patterns and select the right approach for your problem domain.

3

Cluster Design and Setup

Design cluster topology, topics, partitions, and deploy with monitoring, security, and operational best practices.

4

Application Integration

Implement producers, consumers, and stream processing applications with proper error handling.

Ready for Event-Driven Architecture?

Let's build a scalable, real-time event streaming platform with Apache Kafka.

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