JAVA CONCURRENCY AND PARALLELISM master advanced Java techniques for cloud-based applications... through concurrency and parallelism
Unlock Java's full potential for cloud computing through expert insights from real-world case studies and stay ahead with the latest trends in agile and robust Java application development Key Features Master concurrency and parallelism to overcome cloud computing challenges in Java Build scala...
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| Format: | eBook |
| Language: | English |
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[S.l.]
PACKT PUBLISHING LIMITED
2024
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| Online Access: | |
| Collection: | O'Reilly - Collection details see MPG.ReNa |
Table of Contents:
- The life cycle of threads in Java
- Activity
- differentiating threads and processes in a practical scenario
- The concurrency toolkit
- java.util.concurrent
- Threads and executors
- Synchronization and coordination
- Concurrent collections and atomic variables
- Hands-on exercise
- implementing a concurrent application using java.util.concurrent tools
- Synchronization and locking mechanisms
- The power of synchronization
- protecting critical sections for thread-safe operations
- Beyond the gatekeeper
- exploring advanced locking techniques
- Understanding and preventing deadlocks in multi-threaded applications
- Hands-on activity
- deadlock detection and resolution
- Employing Future and Callable for result-bearing task execution
- Safe data sharing between concurrent tasks
- Immutable data
- Thread local storage
- Leveraging thread-safe collections to mitigate concurrency issues
- Choosing between concurrent collections and atomic variables
- Concurrent best practices for robust applications
- Summary
- Questions
- Chapter 3: Mastering Parallelism in Java
- Technical requirements
- Cover
- Copyright
- Contributors
- Table of Contents
- Preface
- Part 1: Foundations of Java Concurrency and Parallelism in Cloud Computing
- Chapter 1: Concurrency, Parallelism, and the Cloud: Navigating the Cloud-Native Landscape
- Technical requirements
- The dual pillars of concurrency versus parallelism
- a kitchen analogy
- When to use concurrency versus parallelism
- a concise guide
- Java and the cloud
- a perfect alliance for cloud-native development
- Exploring cloud service models and their impact on software development
- Cutting-edge tools for conquering cloud-native concurrency challenges
- Conquering concurrency
- best practices for robust cloud-native applications
- Code examples illustrating best practices
- Ensuring consistency
- the bedrock of robust concurrency strategies
- Summary
- Exercise
- exploring Java executors
- Questions
- Chapter 2: Introduction to Java's Concurrency Foundations: Threads, Processes, and Beyond
- Technical requirements
- Java's kitchen of concurrency
- unveiling threads and processes
- What are threads and processes?
- Similarities and differences
- Java's transformation in the cloud
- a story of innovation
- Java
- the cloud-native hero
- Java's cloud-focused upgrades
- concurrency and beyond
- Real-world examples of successful cloud-native Java applications
- Modern challenges in cloud-native concurrency and Java's weapons of choice
- Wrangling distributed transactions in Java
- beyond classic commits
- Maintaining data consistency in cloud-native Java applications
- Handling state in microservices architectures
- Cloud database concurrency
- Java's dance moves for shared resources
- Parallelism in big data processing frameworks
- Unleashing the parallel powerhouse
- the Fork/Join framework