Database Performance at Scale: A Practical Guide
暫譯: 大規模資料庫效能：實用指南
Mendes, Felipe Cardeneti, Sarna, Piotr, Emelyanov, Pavel
買這商品的人也買了...
商品描述
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.
商品描述(中文翻譯)
發現改善資料庫性能的關鍵考量和最佳實踐，這些都是基於數千個團隊和實際案例中成功與失敗的經驗。本書為開放存取書籍，提供實用的指導，幫助您理解在優化數據密集型應用程序以實現高吞吐量和低延遲時可能遇到的資料庫相關機會、權衡和陷阱。無論您是從零開始建立一個新系統，還是試圖優化現有案例以應對增加的需求，本書涵蓋了基本要素。
本書首先探討影響資料庫性能的多種因素，這些因素在當今改變遊戲規則的應用程序面臨的極端規模下尤為重要——或者至少是希望達到的。您將深入了解技術和商業需求對性能的影響，以及這些需求應如何影響您在資料庫基礎設施和拓撲方面的決策。作者分享了經常被忽視的工程細節的內部觀點，這些細節可能會限制或幫助您團隊的資料庫性能。本書還涵蓋了基準測試和監控實踐，以衡量和驗證您所做決策的結果。
本書的最終目標是幫助您發現優化資料庫性能的新方法，以滿足您團隊的特定用例、需求和期望。
您將學到的內容：
- 了解經常被忽視的影響資料庫性能的因素
- 認識與您的項目相關的數據性能和可擴展性挑戰
- 選擇適合您的工作負載、用例和需求的資料庫架構
- 避免可能妨礙您長期靈活性和增長的常見錯誤
- 促進全團隊採用最佳實踐，以在規模上優化資料庫性能
本書適合對象：
希望優化現有項目的分散式資料庫性能，或希望以穩固且可擴展的基礎開始新的性能敏感項目的個人和團隊。這可能包括軟體架構師、資料庫架構師和資深軟體工程師，他們正在經歷或預期與資料庫延遲和/或吞吐量相關的問題。
作者簡介
Felipe Cardeneti Mendes is an IT specialist with years of experience on distributed systems and open source technologies. He has co-authored three Linux books and is a frequent speaker at public events and conferences to promote open source technologies. At ScyllaDB, he works as a Solution Architect.
Piotr Sarna is a software engineer who is keen on open-source projects and the Rust and C++ languages. He previously developed an open-source distributed file system and had a brief adventure with the Linux kernel during an apprenticeship at Samsung Electronics. He's also a long-time contributor and maintainer of ScyllaDB, as well as libSQL. Piotr graduated from University of Warsaw with an MSc in Computer Science.
Pavel "Xemul" Emelyanov is an ex-Linux kernel hacker now speeding up row cache, tweaking the IO scheduler, and helping to pay back technical debt for component interdependencies. He is a Principal Engineer at ScyllaDB.
Cynthia Dunlop is a technology writer who specializes in application development. She has co-authored four books and hundreds of articles on everything from C/C++ memory error detection to continuous testing and DevOps. Cynthia holds a bachelor's degree from UCLA and a master's degree from Washington State University.
作者簡介(中文翻譯)
Felipe Cardeneti Mendes 是一位擁有多年分散式系統和開源技術經驗的 IT 專家。他共同撰寫了三本 Linux 書籍，並且經常在公共活動和會議上發表演講，以推廣開源技術。在 ScyllaDB，他擔任解決方案架構師。
Piotr Sarna 是一位對開源專案以及 Rust 和 C++ 語言充滿熱情的軟體工程師。他之前開發了一個開源的分散式檔案系統，並在三星電子的實習期間短暫接觸過 Linux 核心。他也是 ScyllaDB 和 libSQL 的長期貢獻者和維護者。Piotr 畢業於華沙大學，獲得計算機科學碩士學位。
Pavel "Xemul" Emelyanov 是一位前 Linux 核心駭客，現在專注於加速行緩存、調整 IO 調度器，並協助償還組件間依賴的技術負債。他是 ScyllaDB 的首席工程師。
Cynthia Dunlop 是一位專注於應用程式開發的技術作家。她共同撰寫了四本書籍和數百篇文章，內容涵蓋從 C/C++ 記憶體錯誤檢測到持續測試和 DevOps 的各個方面。Cynthia 擁有加州大學洛杉磯分校的學士學位和華盛頓州立大學的碩士學位。
