High-Level Architecture of Silt Key-Value Stores

Designing storage systems that are both memory-efficient and incredibly fast on modern flash media is a classic engineering challenge. This text-based course guides you through the high-level design of Silt, a cutting-edge key-value store architecture that uses a multi-store approach to push hardware to its absolute limits. You will transition from understanding basic storage concepts to grasping how Silt minimizes memory overhead while maintaining high throughput. By reading detailed architectural breakdowns and examining design patterns, you will learn how to make informed trade-offs in modern systems engineering. What you'll learn: - Understand the core principles of key-value stores and flash memory characteristics. - Analyze the multi-store architecture of Silt and how different store types cooperate. - Explore memory-efficient indexing techniques, including hash tables and cuckoo hashing. - Evaluate the trade-offs between write-amplification, read latency, and memory footprint. - Apply system design patterns to optimize data layout for modern NVMe and SSD storage. - Compare Silt's design with traditional Log-Structured Merge (LSM) trees and B-trees. The course begins with foundational definitions of key-value storage and memory hierarchies before walking through each stage of Silt's multi-store pipeline. You will study how data transitions from write-optimized to read-optimized states through clear, structured text explanations. This course is designed for software engineers, system designers, and computer science students who want to learn high-level storage architecture. No prior experience with Silt is required, though a basic understanding of computer systems and data structures is helpful. Expand your system design toolkit by mastering memory-efficient storage architecture today.