Practical Scylladb

Terabytes of Data with Milliseconds of Latency
1. Auflage 2026
ISBN: 979-8-8688-0167-9
Verlag: Apress

Buch, Englisch, 310 Seiten, Format (B × H): 178 mm x 254 mm

This book shows how to build a database backend capable of serving over a million operations per second with millisecond latency, while operating with hundreds of terabytes of data. The book helps you to master the proper design to successfully deploy ScyllaDB’s shard-per-core architecture and self-tuning features, to scale your applications upward, outward, and even across multiple data centers or continents, all while maintaining operational simplicity and the peace of mind that goes with it.

The book begins by showing how to install ScyllaDB on your developer workstation. Using that install as a base, the book takes you through the concepts that underlie ScyllaDB and the application design patterns that lead to successful implementations and scalable applications. You’ll learn about typical application design pitfalls and problems, and potential ways to avoid them. You’ll come away with the knowledge to create production database clusters and high-performance, distributed applications that scale to reach their peak performance while maintaining high availability. 

What You Will Learn

• Concepts that the ScyllaDB is built around
• Application design and data modeling best practices
• Database structures and database internal operations 
• Capacity planning and performance testing techniques
• ScyllaDB’s high availability and the data consistency model
• How to install ScyllaDB, from a workstation through a petabyte clusters
• How to operate, monitor, and troubleshoot a ScyllaDB system
• Hands on operations with the cqlsh and nodetool CLIs 

Who This Book Is For

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Srdanov, George

Fachgebiete

• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmier- und Skriptsprachen
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken
• Mathematik | Informatik EDV | Informatik Betriebssysteme Linux Betriebssysteme, Open Source Betriebssysteme

Inhaltsverzeichnis

Introduction
Part I. Get Ready and Warm Up1. Prepare the Work Environment2. Meet the Monster3. Installing ScyllaDB on Your Laptop4. Connecting to the Database5. Getting to Know the Cluster
Part II. Under the Hood6. CAP and BASE7. Structures of the Database8. Physical Data Storage9. Reading the Data10. Writing the Dat11. Background Operations12. Data Entropy and Prevention 13. Replication Factor and Tunable Consistency 
Part III. Design for High Performance14. Data Model Design 15. Primary, Partition, and Clustering Keys16. Tombstones and Large Partitions17. Capacity Planning18. Data Model Validation
Part IV. Running ScyllaDB for Real19. Running Production Workloads20. Monitoring ScyllaDB21. Backup and Recovery22. Troubleshooting23. Upcoming Features
Part V. AppendixesA. Interfacing with Apache SparkB. The Alternator APIC. The ScyllaDB REST APID. ScyllaDB on Kubernetes

Über Autor(innen)

Djerdj George Srdanov is a technology enthusiast with 25+ years of experience in the IT field. He has built and operated critical enterprise systems using both SQL and NoSQL database systems. He has experience building and operating clusters scaling across hundreds of nodes and containing hundreds of terabytes of data. He is a multi-cloud certified infrastructure and database engineer with wide experience operating databases on UNIX, Linux, and similar operating systems. He has been a ScyllaDB enthusiast since first encountering the project in early 2017 and closely follows the growth of the product and the community around it.