Database performance at scale : a practical guide / Felipe Cardeneti Mendes, Piotr Sarna, Pavel Emelyanov, Cynthia Dunlop.
2023
QA76.9.D32
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Open access
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Open access
Details
Title
Database performance at scale : a practical guide / Felipe Cardeneti Mendes, Piotr Sarna, Pavel Emelyanov, Cynthia Dunlop.
ISBN
9781484297117 (electronic bk.)
1484297113 (electronic bk.)
9781484297100
1484297113 (electronic bk.)
9781484297100
Published
[United States] : Apress, 2023.
Language
English
Description
1 online resource (xxiv, 254 pages) : illustrations (some color)
Other Standard Identifiers
10.1007/978-1-4842-9711-7 doi
Call Number
QA76.9.D32
Dewey Decimal Classification
005.74
Summary
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.
Access Note
Open access.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed September 19, 2023).
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Online Access
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Table of Contents
1: A Taste of What You're Up Against: Two Tales
2: Your Project, Through the Lens of Database Performance
3: Database Internals: Hardware and Operating System Interactions
4: Database Internals: Algorithmic Optimizations
5: Database Drivers
6: Getting Data Closer
7: Infrastructure and Deployment Model
8: Topology Considerations
9: Benchmarking
10: Monitoring
11: Administration
Appendix: A Brief Look at Fundamental Database Design Decisions.
2: Your Project, Through the Lens of Database Performance
3: Database Internals: Hardware and Operating System Interactions
4: Database Internals: Algorithmic Optimizations
5: Database Drivers
6: Getting Data Closer
7: Infrastructure and Deployment Model
8: Topology Considerations
9: Benchmarking
10: Monitoring
11: Administration
Appendix: A Brief Look at Fundamental Database Design Decisions.