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Optimizing Java
Optimizing Java
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A01=Benjamin J. Evans
A01=Chris Newland
A01=James Gough
actor-based techniques
advanced java
Age Group_Uncategorized
Age Group_Uncategorized
analyzing for concurrency
aot compilation
application performance monitoring and analysis
application tuning
Author_Benjamin J. Evans
Author_Chris Newland
Author_James Gough
automatic-update
avian
bytecode
Category1=Non-Fiction
Category=UMW
censum
concurrent performance techniques
COP=United States
Delivery_Delivery within 10-20 working days
developers
eq_bestseller
eq_computing
eq_isMigrated=2
eq_nobargain
eq_non-fiction
floating garbage
fork/join
garbage collection monitoring and tuning
gcviewer
hardware
hashmap
heap dump analysis
hotspot
hotspot gc deep dive
identifying performance problems
illuminate
Inc
intermediate java
introduction to performance testing
java
java 10
java 9
java application performance tuning
java applications
java garbage collection
java interpreters
java language performance techniques
java performance
java profiling
java runtime
jhiccup
jit compilation
jperfwatch
jprofiler
jvm
jvm memory management
jvm tech
Language_English
lock-free techniques
loggability
measurement and bottom-up performance
new relic
operating systems
optimizing java
OS and java
PA=Available
performance
performance problems
performance testing
performance tools
performance tools for java
performance tuning
Price_€50 to €100
project panama
project valhalla
PS=Active
resolving production performance problems
setting up a java test environment
softlaunch
stack machine
streams
synchronized and shared data
tenuring threshold
thermostat
thread and lock performance
top-down performance
USA
virtualization
virtualization and java
visualvm
visualvm profiler
web development
Product details
- ISBN 9781492025795
- Dimensions: 178 x 232mm
- Publication Date: 31 May 2018
- Publisher: O'Reilly Media
- Publication City/Country: US
- Product Form: Paperback
- Language: English
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 technology stacks will learn how to tune Java applications for performance using a quantitative, verifiable approach.
Most resources on performance tend to discuss the theory and internals of Java virtual machines, but this book focuses on the practicalities of performance tuning by examining a wide range of aspects. There are no simple recipes, tips and tricks, or algorithms to learn. Performance tuning is a process of defining and determining desired outcomes. And it requires diligence.
Learn how Java principles and technology make the best use of modern hardware and operating systems
Explore several performance tests and common anti-patterns that can vex your team
Understand the pitfalls of measuring Java performance numbers and the drawbacks of microbenchmarking
Dive into JVM garbage collection logging, monitoring, tuning, and tools
Explore JIT compilation and Java language performance techniques
Learn performance aspects of the Java Collections API and get an overview of Java concurrency
Ben Evans is the Co-founder and Technology Fellow of jClarity, a startup which delivers performance tools to help development & ops teams. He helps to organise the London Java Community, and represents them on the Java Community Process Executive Committee where he works to define new standards for the Java ecosystem. He is a Java Champion; JavaOne Rockstar; co-author of "The Well-Grounded Java Developer" and a regular public speaker on the Java platform, performance, concurrency, and related topics. James Gough is a technical trainer and writer specializing in Java. He spends the majority of his time teaching advanced Java and concurrency courses to developers with varying technical backgrounds. He serves on the Java Community Process Executive Committee and contributed towards the design and testing of JSR-310, the date time system built for Java 8. James is a regular public speaker and helps organize events at the London Java Community. Chris Newland has been working with Java since 1999 when he started his career using the language to implement intelligent agent systems. He is now a senior developer and team lead at ADVFN using Java to process stock market data in real time. Chris is the inventor of JITWatch (https://github.com/AdoptOpenJDK/jitwatch), an open-source visualiser for understanding the Just-In-Time (JIT) compilation decisions made by the HotSpot JVM. He is a keen JavaFX supporter and runs a community OpenJFX build server.
Optimizing Java
€59.99
