scyllaDB

ScyllaDB Library

Community Access PDFs

Read all about database performance and latency, on us! ScyllaDB is providing community access to these must-read resources.

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ScyllaDB-in-action-book

ScyllaDB in Action

By Bo Ingram (Discord)

A practical guide to everything you need to know about ScyllaDB, from your very first queries to running it in a production environment.

database performance at scale

Database Performance at Scale

By Felipe Mendes et al (ScyllaDB)

Discover new ways to optimize database performance — and avoid common pitfalls – based on learnings from thousands of real-world database use cases.

latency-book

Latency

By Pekka Enberg (Turso)

Learn how to better diagnose latency problems and master the low-latency techniques that have been predominantly “tribal knowledge” until now.

designing data-intensive applications

Designing Data-Intensive Applications

By Martin Kleppmann and Chris Riccomini

Discover new ways of thinking about your distributed data system challenges in the latest edition of this “must-read” resource (February 2026 release).

Related Resources

Data Modeling for Performance Masterclass

Learn pragmatic strategies for designing, implementing, and monitoring data modeling for performance – with ScyllaDB in Action author Bo Ingram and Database Performance at Scale author Felipe Mendes.
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Database Performance at Scale Masterclass

Explore commonly overlooked considerations that impact database performance at scale and discover commonly overlooked optimization opportunities. With Database Performance at Scale authors Felipe Mendes, Piotr Sarna, and Pavel Emelyanov.
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Latency Masterclass

Learn proven strategies to eliminate bottlenecks across the stack, from the application layer down to the database. With Latency author Pekka Enberg and Database Performance at Scale author Felipe Mendes.
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Designing Data-Intensive Applications Today

Martin Kleppmann and Chris Riccomini chat about the evolution of Designing Data-Intensive Applications. They discuss key tradeoffs in modern data systems, what’s next for data-intensive apps, and offer an inside look at revising their influential book.
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