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Optimizing Cloud Native Java: Practical Techniques for Improving JVM Application Performance
Performance tuning is an experimental science, but that doesn't mean engineers should resort to guesswork and folklore to get the job done. Yet that's often the case. With this practical book, intermediate to advanced Java technologists working with complex platforms will learn how to tune Java cloud applications for performance using a quantitative, verifiable, and repeatable approach.
In response to the ubiquity of cloud computing, this updated edition of Optimizing Cloud Native Java addresses topics that are key to high performance of Java applications in the cloud. Many resources on performance tend to focus on the theory and internals of Java virtual machines, but this book discusses the low-level technical aspects within the context of performance-tuning practicalities and examines a wide range of aspects.
With this book, you
Learn how Java principles and technology make the best use of modern hardware, operating systems, and cloud stacksExamine the pitfalls of measuring Java performance numbers and the drawbacks of microbenchmarkingUnderstand how to package, deploy, operate, and debug Java/JVM applications in modern cloud environmentsApply emerging observability approaches to obtain deep understanding of cloud native applicationsUse Java language performance techniques including concurrent and distributed forms
In response to the ubiquity of cloud computing, this updated edition of Optimizing Cloud Native Java addresses topics that are key to high performance of Java applications in the cloud. Many resources on performance tend to focus on the theory and internals of Java virtual machines, but this book discusses the low-level technical aspects within the context of performance-tuning practicalities and examines a wide range of aspects.
With this book, you
Learn how Java principles and technology make the best use of modern hardware, operating systems, and cloud stacksExamine the pitfalls of measuring Java performance numbers and the drawbacks of microbenchmarkingUnderstand how to package, deploy, operate, and debug Java/JVM applications in modern cloud environmentsApply emerging observability approaches to obtain deep understanding of cloud native applicationsUse Java language performance techniques including concurrent and distributed forms
800 pages, Kindle Edition
Published October 10, 2024
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Displaying 1 of 1 review
December 17, 2025
This book isn't bad, but I can hardly imagine who I'd recommend it to.
From the title I imagined it would be dedicated mostly to profiling and optimizing, probably with some cloud specifics. It started strongly with some general Java knowledge, like different GCs and compilation levels. Good stuff, so my expectations were high.
But after that it switched to giving some overview of Kubernetes and deployment process (like canaries and blue-green deployment), then some overview of metrics, logging systems and profiling, then overview of distributed systems (including a very cursory glance at kafka and cassandra), then short overview of java concurrency, and a short overview of upcoming features like project valhalla and panama.
It never committed to single topic to cover it extensively, and each of those deserved their own book (and such book recommendations are actually present).
And as a result I'm not sure who is it for? Person who doesn't know anything about Java? Maybe, though they might be overwhelmed a bit. Person who knows nothing about cloud? Maybe, but in this case chapters will only give a direction to look into, but not enough info to actually understand something.
For everyone who already knows a bit about Java, and a bit about cloud - I doubt you will find much here.
From the title I imagined it would be dedicated mostly to profiling and optimizing, probably with some cloud specifics. It started strongly with some general Java knowledge, like different GCs and compilation levels. Good stuff, so my expectations were high.
But after that it switched to giving some overview of Kubernetes and deployment process (like canaries and blue-green deployment), then some overview of metrics, logging systems and profiling, then overview of distributed systems (including a very cursory glance at kafka and cassandra), then short overview of java concurrency, and a short overview of upcoming features like project valhalla and panama.
It never committed to single topic to cover it extensively, and each of those deserved their own book (and such book recommendations are actually present).
And as a result I'm not sure who is it for? Person who doesn't know anything about Java? Maybe, though they might be overwhelmed a bit. Person who knows nothing about cloud? Maybe, but in this case chapters will only give a direction to look into, but not enough info to actually understand something.
For everyone who already knows a bit about Java, and a bit about cloud - I doubt you will find much here.
Displaying 1 of 1 review