Database Internals offers a comprehensive exploration of the inner workings of modern database systems, with a focus on storage engines, indexing, transactions, and distributed architectures. Alex Petrov provides an in-depth technical breakdown of how databases manage data at scale, making complex topics accessible to engineers, architects, and database enthusiasts.

The book covers core database components, including storage formats, concurrency control, replication, and sharding, while also addressing the challenges of distributed data systems. With clear explanations and practical insights, this book is ideal for those looking to understand database performance, scalability, and fault tolerance.

Why Read This Book

• Explores database internals from low-level storage to high-level distributed architectures.
• Covers key topics like indexing, query execution, concurrency control, and transactions.
• Explains distributed systems concepts such as replication, consensus algorithms, and partitioning.
• Helps engineers and database architects optimize and troubleshoot data-intensive applications.
• A must-read for those interested in database design, performance tuning, and scalability.

About the Author

Alex Petrov is a software engineer and database expert specializing in distributed systems, storage engines, and data management. His work focuses on designing and optimizing high-performance databases, making complex systems more efficient and scalable.