Natan Silnitsky
Kafka and microservices expert | Large-scale system migration and developer productivity
About
Natan Silnitsky specializes in large-scale distributed systems, with particular expertise in Apache Kafka and microservices architecture. He has spoken at Devoxx conferences multiple times, sharing insights on complex technical challenges that teams face when building and scaling modern software systems.
His technical presentations cover the intricate details of migrating thousands of microservices to multi-cluster managed Kafka environments without service interruption - a challenge that requires deep understanding of distributed systems, architectural planning, and operational excellence. He also explores how developers can improve their effectiveness through the application of tiny atomic habits, bridging the gap between personal productivity methodologies and software engineering practice.
His work demonstrates how asynchronous systems like Kafka can unlock scalability in modern architectures.
What Natan Talks About
Migrating large-scale microservices architectures to managed Kafka infrastructure with zero downtime
Achieving scalability through asynchronous architectures and Kafka implementation
Building developer productivity through atomic habits and incremental improvement
Multi-cluster Kafka deployment strategies and operational best practices
Asynchronous system design patterns for high-performance applications
Talks3
Devoxx Greece 2025 - Async Excellence: Unlocking Scalability with Kafka
How do you scale 4,000 microservices while tackling latency, bottlenecks, and fault tolerance? At Wix, Kafka powers our event-driven architecture with practical patterns that enhance scalability and developer velocity. This talk explores four key patterns for asynchronous programming: Integration Events: Reduce latency by pre-fetching instead of synchronous calls. Task Queue: Streamline workflows by offloading non-critical tasks. Task Scheduler: Enable precise, scalable scheduling for delayed or recurring tasks. Iterator: Handle long-running jobs in chunks for resilience and scalability. Learn how to balance benefits and trade-offs, with actionable insights to optimize your own microservices architecture using these proven patterns.
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