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via Udemy |
Go to Course: https://www.udemy.com/course/java-application-performance-and-memory-management/
Certainly! Here's a detailed review and recommendation for the Coursera course "Java Application Performance Tuning and Memory Management." --- **Course Review: Java Application Performance Tuning and Memory Management** If you're a Java developer aiming to optimize your applications, *Java Application Performance Tuning and Memory Management* on Coursera is an exceptional resource that offers practical insights into diagnosing and resolving performance issues. The course is particularly valuable for developers working with Java 8, Java 11, or Java 17, but its lessons are broadly applicable across JVM languages like Kotlin, Scala, and Groovy. **Course Content & Structure** This course covers a comprehensive range of topics essential for understanding Java performance. It begins with the foundations — analyzing what can cause slowdowns or bottlenecks in your applications. The curriculum explores best coding practices, such as choosing between data structures like ArrayList versus LinkedList, and examines the performance implications of using StringBuilder or Lambda syntax. A significant portion of the course focuses on JVM tuning. You'll learn how to configure the Java Virtual Machine with various runtime arguments to improve performance. In addition, it delves deep into JVM memory management, explaining how garbage collection works, how it impacts application performance, and ways to optimize its behavior. Advanced topics such as the Just-In-Time (JIT) compiler, performance benchmarking, decompiling bytecode, and using GraalVM as an alternative runtime provide a well-rounded understanding of the JVM ecosystem. These insights are crucial for developers looking to push their Java applications to peak efficiency. **Strengths** - **Practical Focus:** The course emphasizes real-world application, providing actionable tips and best practices. - **Up-to-Date Content:** It covers recent Java versions and includes discussions on modern JVM configurations. - **Broad Scope:** From code-level decisions to JVM tuning and memory management, it offers a holistic approach. - **Additional Languages:** It's also relevant for JVM languages like Kotlin, with specific comparisons and insights. **Who Should Take This Course** This course is ideal for Java developers at intermediate to advanced levels who want to deepen their understanding of performance optimization. If you're involved in tuning existing applications, designing high-performance systems, or just want to understand the inner workings of JVM, this course is tailored for you. **Recommendation** I highly recommend *Java Application Performance Tuning and Memory Management* for anyone serious about improving Java application performance. Its comprehensive content, practical approach, and alignment with current Java versions make it worth the investment of your time. Whether you're a developer aiming to enhance your application's responsiveness or a DevOps engineer managing JVM configurations, this course provides valuable insights that can make a tangible difference. --- **Summary:** An insightful, practical, and up-to-date course that empowers Java developers to diagnose, tune, and optimize their applications effectively. Enroll now to unlock the secrets of Java performance tuning and become a more proficient developer! --- Let me know if you'd like a personalized learning plan or additional tips for maximizing your course experience!
In this course we'll understand what can cause performance issues in our applications, and how to resolve them. This includes a review of some of the options available to us as developers at design-time - how to make good coding choices for optimal performance. For example, when should you pick an ArrayList over a LinkedList? How much difference does the StringBuilder really make? Is Lambda syntax more or less efficient at certain operations? We'll also learn about various ways that we can configure the virtual machine to provide better performance at run-time, with a range of runtime arguments. We'll also be diving deep into how the virtual machine manages memory, and how the garbage collection process works and impacts on application performance.Along the way we'll be learning about the Just In Time compiler, performance testing and benchmarking, decompiling bytecode, using the GraalVM as an alternative virtual machine and more.About Java Versions: This is the second iteration of this course and it is designed for all the current versions of Java that have long term support (Java 8 , Java 11 and Java 17). You can follow along with any of these versions. You can also use either the Oracle or the OpenJDK JVMs. For developers using other JVM languages (such as Kotlin, Scala and Groovy) all of the JVM configuration parts of this course will still be relevant, and some of the coding choices may be useful to consider also. (Note that there's even a review of whether Kotlin provides better or worse performance than Java!)