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The Stack That Helped Medium Drive 2.6 Millennia of Reading Time (article, free)
Medium's success in driving over 2.6 millennia of reading time was fueled by its robust tech stack, empowering seamless content delivery and personalized experiences. By leveraging cutting-edge technologies and scalable infrastructure, Medium created a platform that captivated readers and enabled significant engagement with their content.
Designing Data-Intensive Applications is a must-read book that provides a comprehensive guide to building robust and scalable data systems, emphasizing reliability and maintainability. With insightful explanations and real-world examples, this book equips developers and architects with the knowledge and principles needed to design data-intensive applications that can handle the challenges of modern data processing.
The GEMS white paper introduces a novel monitoring service for scalable heterogeneous distributed systems, leveraging gossip-based communication to efficiently collect and disseminate monitoring data. By combining gossip protocols and adaptive sampling techniques, GEMS enables effective monitoring in large-scale distributed systems, enhancing scalability and accommodating diverse system components.