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Discover critical considerations and best practices for improving
database performance based on what has worked, and
failed, across thousands of teams and use cases in the field.
This open access book provides practical guidance for
understanding the database-related opportunities, trade-offs,
and traps you might encounter while trying to optimize
data-intensive applications for high throughput and low latency.
Whether you are building a new system from the ground up or trying
to optimize an existing use case for increased demand, this
book covers the essentials. The book begins with a look at the many
factors impacting database performance at the extreme scale that
today’s game changing applications face—or at least hope to
achieve. You’ll gain insight into the performance impact of both
technical and business requirements, and how those should influence
your decisions around database infrastructure and
topology. The authors share an inside perspective on
often-overlooked engineering details that could be
constraining—or helping—your team’s database performance. The
book also covers benchmarking and monitoring practices by which to
measure and validate the outcomes from the decisions that you make.
The ultimate goal of the book is to help you discover new ways to
optimize database performance for your team’s specific use cases,
requirements, and expectations. What You Will Learn Understand
often overlooked factors that impact database performance at scale
Recognize data-related performance and scalability challenges
associated with your project Select a database architecture
that’s suited to your workloads, use cases, and requirements
Avoid common mistakes that could impede your long-term agility and
growth Jumpstart teamwide adoption of best practices for optimizing
database performance at scale Who This Book Is For Individuals and
teams looking to optimize distributed database performance for an
existing project or to begin a new performance-sensitive project
with a solid and scalable foundation. This will likely include
software architects, database architects, and senior software
engineers who are either experiencing or anticipating pain
related to database latency and/or throughput.
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