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High Performance with MongoDB. Best practices for performance tuning, scaling, and architecture Asya Kamsky, Ger Hartnett, Alex Bevilacqua

(ebook) (audiobook) (audiobook) Język publikacji: angielski
High Performance with MongoDB. Best practices for performance tuning, scaling, and architecture Asya Kamsky, Ger Hartnett, Alex Bevilacqua - okladka książki

High Performance with MongoDB. Best practices for performance tuning, scaling, and architecture Asya Kamsky, Ger Hartnett, Alex Bevilacqua - okladka książki

High Performance with MongoDB. Best practices for performance tuning, scaling, and architecture Asya Kamsky, Ger Hartnett, Alex Bevilacqua - audiobook MP3

High Performance with MongoDB. Best practices for performance tuning, scaling, and architecture Asya Kamsky, Ger Hartnett, Alex Bevilacqua - audiobook CD

Autorzy:
Asya Kamsky, Ger Hartnett, Alex Bevilacqua
Wydawnictwo:
Packt Publishing (Z chęcią przeczytam książkę w języku polskim)
Ocena:
Stron:
406
With data as the new competitive edge, performance has become the need of the hour. As applications handle exponentially growing data and user demand for speed and reliability rises, three industry experts distill their decades of experience to offer you guidance on designing, building, and operating databases that deliver fast, scalable, and resilient experiences.
MongoDB’s document model and distributed architecture provide powerful tools for modern applications, but unlocking their full potential requires a deep understanding of architecture, operational patterns, and tuning best practices. This MongoDB book takes a hands-on approach to diagnosing common performance issues and applying proven optimization strategies from schema design and indexing to storage engine tuning and resource management.
Whether you’re optimizing a single replica set or scaling a sharded cluster, this book provides the tools to maximize deployment performance. Its modular chapters let you explore query optimization, connection management, and monitoring or follow a complete learning path to build a rock-solid performance foundation. With real-world case studies, code examples, and proven best practices, you’ll be ready to troubleshoot bottlenecks, scale efficiently, and keep MongoDB running at peak performance in even the most demanding production environments.

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O autorach książki

Asya Kamsky is a Principal KnowItAll at MongoDB, where she has worked since 2012. Before discovering MongoDB, she spent nearly two decades coaxing relational databases into doing what they were never designed to do at a series of startups, most of which no one remembers. Asya has an extensive background in software development, databases, and telling people what they're doing wrong.
Ger Hartnett is a Lead Engineer on MongoDB's product performance team, where he loves working on fascinating optimization and scaling challenges. Before MongoDB, he founded a startup that built a project communication platform (that had scaling issues). Prior to that, he architected and tuned embedded software at Intel, where he co-authored a book. Even before that, he developed systems at companies including Tellabs, Digital, and Motorola.
Alex Bevilacqua is an advocate for open standards, as well as a passionate and enthusiastic open source developer with over 10 years of experience. He is skilled in Ruby, Python, C#, Flash, Flex, JavaScript, and others. He is the author of a number of Redmine extensions and plugins; two of the most popular being the Redmine Knowledgebase and the Redmine Dropbox Attachments plugin. He currently works for a leading digital marketing company in Toronto where he works on process automation, data collection, and aggregation initiatives. His personal blog can be found at https://www.alexbevi.com.

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