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Ayan Dutta and Learning From Experience

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Master Java 21 Virtual Threads & Structured Concurrency — The Complete Spring Boot Performance Guide

Revolutionary Project Loom Technology for Enterprise Applications

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If you are a Udemy Business user, please check with your employer before downloading software.

Master Java 21 Virtual Threads & Structured Concurrency — The Complete Spring Boot Performance Guide

Revolutionary Project Loom Technology for Enterprise Applications

Discover how Java 21 Virtual Threads and Structured Concurrency (from Project Loom) revolutionize concurrent programming in Spring Boot.Traditional platform threads consume around 2 MB each, while Virtual Threads use only 2 KB, enabling you to run millions of concurrent tasks efficiently.Learn to design, test, and monitor enterprise-grade, high-performance applications built for modern multicore systems.

Enterprise-Grade Performance Benefits

  • Achieve 10×–100× higher throughput for I/O-intensive Spring Boot applications

  • Reduce memory consumption dramatically with simplified concurrency models

  • Integrate seamlessly with existing Spring Boot microservice architectures

  • Implement production-ready observability using JFR, Micrometer, and Prometheus

Complete Hands-On Mastery

REAL-

Perfect For Java Professionals

  • Spring Boot engineers optimizing throughput and scalability

  • Backend developers designing concurrent microservices

  • Performance engineers working on enterprise concurrency challenges

Transform your Spring Boot applications with Java 21’s Project Loom and gain hands-on mastery over Virtual Threads, Structured Concurrency, and real-world load testing.

Enroll now

What's inside

Learning objectives

  • Understand and implement virtual threads: learn the fundamentals of java’s project loom and how to create and manage virtual threads to handle high-concurrency
  • Master structured concurrency: gain expertise in structured concurrency to write cleaner, more maintainable, and error-resistant concurrent code in java
  • Leverage scopedvalues in spring boot: discover how to replace threadlocals with scopedvalues for improved performance and thread safety in spring boot applicati
  • Perform load testing with jmeter: acquire skills to set up and conduct performance tests using jmeter, comparing virtual and platform threads for apis and datab
  • Monitor virtual threads effectively: learn to monitor and observe virtual threads in real-time using tools like jfr, micrometer, prometheus, and grafana for bet

Syllabus

Getting Started
Course Overview
How To Go Through The Course (Important)
DO NOT SKIP - Code Repositories used in the course
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Career center

Learners who complete Java Virtual Threads & Structured Concurrency w/ Spring Boot will develop knowledge and skills that may be useful to these careers:

Reading list

We've selected 50 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Java Virtual Threads & Structured Concurrency w/ Spring Boot.
Provides a comprehensive overview of Java concurrency, including Virtual Threads. It is written by a team of experts in the field and is highly regarded for its clarity and depth.
Is considered a foundational text in the field of observability. It provides a comprehensive overview of what observability is, how it differs from traditional monitoring, and its importance in modern software systems. It's highly valuable for gaining a broad understanding and must-read for anyone serious about the topic. The book also discusses the cultural shifts required for adopting observability practices within an organization.
Provides a comprehensive overview of microservices patterns, including their benefits, challenges, and best practices. It is written by Chris Richardson, a leading expert in microservices architecture.
Provides a comprehensive view of system performance analysis and tuning across various operating systems and environments, including enterprise systems and cloud platforms. It is highly regarded in the field and is valuable as a reference for understanding the methodologies and tools used in performance optimization. It delves into the internals of systems, making it suitable for those seeking a deeper understanding beyond basic tuning techniques. This book is commonly used by industry professionals.
Provides a deep dive into concurrency in Java, including a chapter on Virtual Threads. It is written by an expert in the field and is highly regarded for its technical depth.
As OpenTelemetry is the emerging standard for cloud-native observability, this book is highly relevant for contemporary practices. It offers a practical guide to setting up and operating OpenTelemetry, covering tracing, metrics, and logging. It's a must-read for those implementing observability with open standards.
A definitive guide for Java developers, this book provides detailed insights into tuning and optimizing Java applications. It covers JVM internals, garbage collection, and threading, offering practical advice and techniques. It is considered a must-read for Java professionals and is often referenced for its in-depth coverage of Java-specific performance issues.
Focusing on database performance, this book must-read for anyone working with MySQL. It covers essential techniques for optimizing MySQL databases, including query tuning, schema design, and leveraging features for scalability. It widely recognized resource in the database community.
A guide to developing cloud-native Java applications, covering topics such as microservices, serverless computing, and reactive programming.
Practical guide to building and deploying microservices. It covers topics such as service design, API design, and deployment strategies.
Provides a collection of best practices for Java programming, including a chapter on concurrency. It is written by a leading expert in the field and is highly regarded for its clarity and depth.
Focuses on applying observability specifically in cloud-native environments, which contemporary and highly relevant topic. It covers using open-source tools like OpenTelemetry, Prometheus, and Grafana. It's a practical guide for those working with cloud-native applications.
Provides a comprehensive introduction to Java programming, including a chapter on concurrency. It is written by a leading expert in the field and is highly regarded for its clarity and depth.
Provides a comprehensive overview of patterns for parallel programming, covering topics such as task parallelism, data parallelism, and communication patterns. It is written by a team of leading experts in the field of parallel programming.
Complementing other OpenTelemetry books, this resource specifically targets cloud-native environments and emphasizes the combination of tracing, metrics, and logging. It is highly relevant for contemporary cloud deployments and provides practical guidance on using OpenTelemetry effectively.
A guide for C++ developers, this book focuses on optimizing the performance of C++ applications. It covers identifying bottlenecks, measuring performance, optimizing data structures and algorithms, and utilizing multi-core processors. It practical resource for C++ programmers aiming to improve code efficiency.
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Offers a technical deep dive into Java performance, analyzing code at the bytecode level and providing practical optimization techniques for JVM applications. It complements Scott Oaks' book by offering a slightly different perspective and more code-centric examples. It valuable resource for experienced Java developers seeking to fine-tune their applications.
Another book dedicated to distributed tracing, this offers a comprehensive guide from a key figure in the OpenTracing and Jaeger projects. It delves into the theoretical foundations and practical implementation of tracing at scale. It's excellent for deepening understanding and strong reference.
Provides a practical guide to adopting OpenTelemetry across an organization, focusing on the value and implementation challenges. It's a good resource for understanding how to integrate OpenTelemetry into existing systems and workflows.
Provides a foundational understanding of performance engineering principles, covering the entire software development lifecycle. It discusses performance modeling, requirements, testing, and scalability. It useful resource for gaining a broad understanding of performance engineering as a discipline.
Delves into the performance aspects of computer networking, particularly in the context of web browsers. It covers topics like TCP, UDP, and HTTP, explaining how network protocols impact web performance. It is essential reading for anyone involved in optimizing the delivery of web content.
Offers a strategic approach to implementing observability within an enterprise setting, addressing planning and execution. It's useful for understanding the organizational aspects and challenges of adopting observability at scale.
Provides a comprehensive overview of Java performance tuning, including a chapter on concurrency. It is written by an expert in the field and is highly regarded for its practical advice.
Considered a classic in the field of Software Performance Engineering (SPE), this book lays out the foundational principles and practices for building performance into software systems from the outset. While an older publication, its methodologies are still highly relevant for understanding the SPE process. It is more valuable for its foundational concepts than as a current reference for specific technologies.
For those working with Kubernetes, this book connects observability with security, highlighting their combined importance in cloud-native applications. It offers a holistic view and is valuable for understanding the role of observability in a secure Kubernetes environment.
Provides a practical guide to concurrency in Java, covering topics such as thread pools, locks, and synchronization primitives. It is written by Anthony Williams, a leading expert in the field of Java concurrency.
Provides a comprehensive overview of the Go programming language, covering topics such as concurrency, channels, and synchronization primitives. It is written by Alan A. A. Donovan and Brian W. Kernighan, two of the leading experts in the field of Go.
A guide to using Spring Data JPA for data access, covering topics such as entity mapping, relationships, and performance tuning.
Aimed at web designers and developers, this book emphasizes the importance of considering performance from the initial design stages. It explores the impact of design choices on website speed and covers tools and methods for measuring and improving performance. It provides a broader perspective on web performance optimization beyond just technical implementation.
Provides a comprehensive overview of the Rust programming language, covering topics such as memory management, concurrency, and error handling. It is written by Steve Klabnik and Carol Nichols, two of the leading experts in the field of Rust.
Provides a practical guide to concurrency in Scala, covering topics such as actors, futures, and reactive programming. It is written by Alvin Alexander, a leading expert in the field of Scala concurrency.
Provides a comprehensive overview of concurrency in the Java Virtual Machine (JVM), covering topics such as thread pools, locks, and synchronization primitives. It is written by Venkat Subramaniam, a leading expert in the field of Java concurrency.
SRE principles are closely related to observability, as SRE teams heavily rely on signals from systems to ensure reliability. This book, a classic in the SRE field, provides valuable context on how observability is used in practice in large-scale systems. It's excellent for understanding the operational strategies that observability supports.
Logs are a fundamental signal in observability. focuses on practical logging with modern tools and environments like Kubernetes. It's a valuable resource for understanding and implementing effective logging strategies as part of an observability system.
Provides a comprehensive overview of Java persistence with Hibernate, including a chapter on concurrency. It is written by an expert in the field and is highly regarded for its clarity and depth.
Provides a comprehensive overview of Java web services, including a chapter on concurrency. It is written by an expert in the field and is highly regarded for its clarity and depth.
Provides a comprehensive overview of microservices architecture. It covers topics such as service design, API design, and deployment strategies.
Provides a practical guide to improving the performance of UNIX-based systems. It covers identifying performance problems, using monitoring tools, and tuning various system components. While some of the specific tools and commands may be dated, the fundamental principles of system-level performance analysis and tuning are still applicable.
While not solely focused on performance, this classic book covers fundamental software engineering principles that contribute to writing better, more efficient code. Its timeless advice on topics like refactoring, debugging, and writing maintainable code indirectly supports performance optimization efforts. It is considered a must-read for any developer.
Provides low-level optimization techniques specifically for IA-32 processors. While hardware specifics may evolve, the underlying principles of interacting with the processor and memory hierarchy for performance remain relevant. It more advanced book for those looking to optimize code at the assembly level.
Focuses on observability within network infrastructure, a specific but important domain. It provides practical guidance using popular open-source tools. It's valuable for network professionals and those seeking to apply observability principles beyond applications.
Provides foundational knowledge on data observability, focusing on building trustworthy data solutions. It's a good resource for understanding the core concepts and importance of observability in the data domain.
A companion to the SRE book, this workbook offers practical exercises and examples for implementing SRE practices, many of which involve leveraging observability data. It helps solidify the understanding of how observability fits into a broader reliability strategy.
Provides data-driven insights into the practices that contribute to high-performing technology organizations. While not a technical guide to code optimization, it highlights the organizational and process factors that enable faster and more reliable software delivery, which indirectly impacts performance by allowing for quicker iterations and improvements. It's a valuable read for understanding the broader context of performance within a development lifecycle.
Similar to 'The Pragmatic Programmer,' this book emphasizes writing clean, readable, and maintainable code. While not a performance optimization book directly, code quality significantly impacts the ability to identify and address performance issues. It provides foundational practices for writing better code that is easier to optimize.
While not solely focused on 'observability,' this book provides a strong foundation in monitoring, which prerequisite for understanding observability. It offers pragmatic, tool-agnostic advice on improving monitoring practices. It's valuable for those needing background knowledge or looking to enhance their existing monitoring setups.
Practical guide to building and deploying microservices in Java. It covers topics such as service design, API design, and deployment strategies.

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