High Performance with Java

Packt via Coursera

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Provider

Coursera
Pricing

Paid Course
Languages

English
Certificate

Certificate Available
Effort

18 weeks, 1 hour a week
Sessions

Self-Paced
Level

Intermediate
Subtitles

English

Found in

Overview

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This course explores advanced strategies for achieving high performance in Java applications, covering JVM internals, efficient data structures, algorithm optimization, and memory management. Learners will gain practical insights into object pooling, strategic object creation, immutability, and string handling, while understanding how to prevent memory leaks and improve system responsiveness. Hands-on exercises guide participants through profiling tools, code monitoring, and maintenance practices, teaching optimization of loops, framework usage, and database query tuning. This course is ideal for Java developers, software engineers, and performance analysts seeking to enhance application efficiency and scalability. Participants should have foundational Java knowledge, familiarity with databases, and experience in object-oriented programming. By the end of this course, learners will be able to implement advanced JVM and memory management techniques, optimize algorithms and concurrency strategies, tune database interactions, leverage performance libraries and profiling tools effectively, and integrate AI methods to monitor and improve Java application performance.

Syllabus

Peeking Inside the Java Virtual Machine (JVM)
- This module delves into the inner workings of the Java Virtual Machine, including its architecture, garbage collection strategies, and performance optimizations. Learners will also gain hands-on experience using the javap tool to inspect Java bytecode and understand how JVM features impact application efficiency.
Data Structures
- This module examines how various data structures, including lists, arrays, stacks, queues, and trees, influence the performance and scalability of Java applications. Learners will explore implementation strategies, performance optimization techniques, and the selection of advanced data structures for specific use cases. Practical examples and best practices will help solidify understanding and improve coding efficiency.
Optimizing Loops
- This module explores advanced techniques for improving the performance of Java applications by optimizing loop constructs. Learners will analyze common bottlenecks, implement strategies such as unrolling and vectorization, and assess the effectiveness of their optimizations through benchmarking and real-world case studies.
Java Object Pooling
- This module introduces the concept of object pooling in Java, guiding learners through its implementation, benefits, and drawbacks. You will also learn how to test and measure the performance impact of object pooling to optimize resource management in your applications.
Algorithm Efficiencies
- This module guides learners through the principles of selecting and analyzing algorithms for optimal Java application performance. You will explore current trends in algorithm efficiency, including the impact of AI and ML, and learn practical strategies for testing and improving your code. By the end, you'll be equipped to assess and enhance the efficiency of your Java solutions.
Strategic Object Creation and Immutability
- This module delves into efficient object creation strategies, the principles and benefits of immutability, and the impact of garbage collection on Java application performance. Learners will also explore how design patterns like Singleton and Factory can be leveraged to optimize object management. By the end, you'll be equipped to make informed decisions that enhance scalability and maintainability in Java development.
String Objects
- This module delves into advanced string handling techniques in Java, emphasizing performance optimization through string pooling and lazy initialization. Learners will discover how to manage string objects efficiently to enhance application speed and resource utilization.
Memory Leaks
- This module delves into the causes and consequences of memory leaks in Java applications, highlighting how improper referencing, event listeners, class loaders, and thread management can impact performance. Learners will discover practical techniques for identifying and preventing memory leaks to ensure robust and efficient software.
Concurrency Strategies and Models
- This module introduces key concepts in Java concurrency, including multithreading, synchronization, and modern reactive programming models. Learners will discover how to implement thread-safe strategies to improve application performance and scalability. Practical examples illustrate how to avoid common pitfalls such as race conditions.
Connection Pooling
- This module introduces the principles and benefits of connection pooling for efficient database management. Learners will explore implementation strategies in Java, discover best practices, and learn how to monitor and optimize connection pools for improved application performance.
Hypertext Transfer Protocols
- This module introduces the fundamentals of HTTP and its role in Java web applications, emphasizing how HTTP enables communication between clients and servers. Learners will explore practical implementation using Java's HttpClient library, with a focus on API integration, security, and performance optimization. By the end, you'll understand how to build dynamic, secure, and efficient web solutions using HTTP in Java.
Frameworks for Optimization
- This module introduces key frameworks and strategies for optimizing Java applications, including asynchronous and buffered I/O, batch processing, and microservices architecture. Learners will discover how to enhance performance, improve resource efficiency, and implement scalable, cloud-native solutions. Practical examples and real-world implementation tips are provided throughout.
Performance-Focused Libraries
- This module introduces key Java libraries designed to enhance application performance, including tools for benchmarking, network communication, and efficient data processing. Learners will gain practical skills in analyzing performance metrics and optimizing code using industry-standard libraries.
Profiling Tools
- This module introduces a variety of Java profiling tools, including those bundled with the JDK, integrated into popular IDEs, and available as third-party solutions. Learners will compare the strengths and weaknesses of different profilers, explore practical strategies for performance analysis, and examine real-world case studies to see profiling in action.
Optimizing Your Databases and SQL Queries
- This module delves into effective strategies for enhancing database performance, including schema design, query optimization, and sharding. Learners will discover practical techniques and monitoring methods to ensure efficient data management in large-scale systems. Real-world examples illustrate how to implement and maintain these optimizations.
Code Monitoring and Maintenance
- This module introduces essential practices for sustaining high-performing Java applications, including the use of APM tools, code reviews, and logging for real-time monitoring and quality assurance. Learners will discover strategies for proactive maintenance and effective alerting to ensure ongoing reliability and performance.
Unit and Performance Testing
- This module introduces essential techniques for testing Java applications, focusing on both unit and performance testing. Learners will discover strategies for validating code correctness, leveraging assertions, and optimizing application efficiency through automated testing practices.
Leveraging Artificial Intelligence (AI) for High Performance Java Applications
- This module introduces AI-driven strategies for enhancing Java application performance, including optimization techniques, AI-powered monitoring, and integration with leading cloud AI services. Learners will also consider ethical implications when incorporating AI into software development workflows.