| 書(shū)目名稱(chēng) | Database Performance at Scale | | 副標(biāo)題 | A Practical Guide | | 編輯 | Felipe Cardeneti Mendes,Piotr Sarna,Cynthia Dunlop | | 視頻video | http://file.papertrans.cn/264/263366/263366.mp4 | | 概述 | This book is open access, which means that you have free and unlimited access.Discover new ways to optimize database performance.Avoid common mistakes that impact latency and throughput.Get practical | | 圖書(shū)封面 |  | | 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 manyfactors impacting database performance at the extreme scale that today’s gamechanging applications face—or at least hope to achieve. You’ll gain insightinto 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 alsocovers benchmarking and monitoring practicesby which to measure and validate the outcomes from the decisions t | | 出版日期 | Book‘‘‘‘‘‘‘‘ 2023 | | 關(guān)鍵詞 | ScyllaDb; Database Performance; Scalability; High Throughput; P99 Latency; Kafka; Business Requirements; No | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4842-9711-7 | | isbn_softcover | 978-1-4842-9710-0 | | isbn_ebook | 978-1-4842-9711-7 | | copyright | Felipe Cardeneti Mendes, Piotr Sarna, Pavel Emelyanov, Cynthia Dunlop 2023 |
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