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.
SREDAY Conference
Site Reliability, DevOps, and Cloud
March 27-28, London, United Kingdom