首页Optimizing Java_Practical Techniques for Improving JVM Application Performance
Optimizing Java_Practical Techniques for Improving JVM Applicati...
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Optimizing Java_Practical Techniques for Improving JVM Application Performance(2018.05).A4.pdf 预览文字版 Currently, no books exist that focus on the practicalities of Java application performance tuning, as opposed to the theory and internals of Java virtual machines. This practical guide is the "missing link" that aims to move Java performance tuning from the realm of guesswork and folklore to an experimental science.
by James Gough, Benjamin J Evans, Chris Newland
Publisher: O'Reilly Media, Inc.
Release Date: May 2018
Currently, no books exist that focus on the practicalities of Java application
performance tuning, as opposed to the theory and internals of Java virtual machines.
This practical guide is the "missing link" that aims to move Java performance tuning
from the realm of guesswork and folklore to an experimental science.
• Learn how to approach performance problems in an consistent and systematic way
• Resolve production performance issues by learning core Java performance topics
• Identify and resolve performance issues before encountering them in production
• Understand the performance problems you encounter by learning the Java platform’s internals
Practical Techniques for Improving JVM Application Performance
Benjamin J Evans, James Gough, and Chris Newland
by Benjamin J Evans , James Gough , and Chris Newland
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• May 2018: First Edition
Revision History for the First Edition
• 2016-02-23: First Early Release
• 2016-05-17: Second Early Release
• 2016-08-29: Third Early Release
• 2017-03-14: Fourth Early Release
• 2017-05-10: Fifth Early Release
• 2017-08-10: Sixth Early Release
• 2017-09-11: Seventh Early Release
• 2018-02-07: Eighth Early Release
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Real-world issues are complex, so I seek to prepare myself with both advanced technical knowledge and practical experience. I see the MSCM program as my next step. I could fill my skill gap in optimizing complex systems. Courses such as analytic methods, industrial engineering, operation research, and systems engineering are highly technical and analytical. I believe these courses are essential for decision-based problem-solving and digital transformation. The opportunity in taking the Capstone Project would be a perfect start for my long-run goal of running a supply chain optimization solution provider company. By solving the supply chain problems of companies with quantitative modeling, I hope I can differentiate and summarize several solutions applicable to most companies.
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