Learn strategies to optimize ClickHouse for massive data streams. Explore Kubernetes orchestration, query optimization, and real-world solutions for scalable, cost-efficient, and reliable analytics in modern systems.

ClickHouse is a high-performance columnar database designed for analytical workloads, but running it efficiently in cloud-native environments presents unique challenges. This talk explores the architecture of ClickHouse and provides strategies for scaling it to handle massive data streams in containerized and distributed systems. We’ll cover topics like volume provisioning, efficient data ingestion pipelines, query optimization, and orchestration with Kubernetes. Real-world examples will demonstrate how to tackle common bottlenecks, improve performance, and reduce costs while maintaining reliability in cloud-native setups. Attendees will leave with actionable insights to build robust, scalable storage and analytics solutions with ClickHouse in modern environments.

Diego Nieto is a seasoned software engineer with extensive expertise in database technologies and data engineering. Currently at Altinity, Inc., he specializes in advanced data solutions, including ClickHouse® optimizations and geospatial indexing. With over two decades of experience, Diego has contributed to leading organizations like SUN Microsystems, INFORMIX Software, and the Galicia Supercomputing Centre, where he developed cutting-edge IT and computing R&D projects.

Holding a BSc in Computer Science from the University of Deusto and a DEA (MSc equivalent) in Computer Science from the University of Santiago de Compostela, Diego blends deep technical knowledge with hands-on industry experience. Passionate about open-source innovation and Python development, he continues to drive impactful solutions at the intersection of data and technology.