Book Image

Hands-On High Performance with Spring 5

By : Chintan Mehta, Subhash Shah, Pritesh Shah, Prashant Goswami, Dinesh Radadiya
Book Image

Hands-On High Performance with Spring 5

By: Chintan Mehta, Subhash Shah, Pritesh Shah, Prashant Goswami, Dinesh Radadiya

Overview of this book

While writing an application, performance is paramount. Performance tuning for real-world applications often involves activities geared toward detecting bottlenecks. The recent release of Spring 5.0 brings major advancements in the rich API provided by the Spring framework, which means developers need to master its tools and techniques to achieve high performance applications. Hands-On High Performance with Spring 5 begins with the Spring framework's core features, exploring the integration of different Spring projects. It proceeds to evaluate various Spring specifications to identify those adversely affecting performance. You will learn about bean wiring configurations, aspect-oriented programming, database interaction, and Hibernate to focus on the metrics that help identify performance bottlenecks. You will also look at application monitoring, performance optimization, JVM internals, and garbage collection optimization. Lastly, the book will show you how to leverage the microservice architecture to build a high performance and resilient application. By the end of the book, you will have gained an insight into various techniques and solutions to build and troubleshoot high performance Spring-based applications.

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Table of Contents (14 chapters)
Preface
Preface
Who this book is for
What this book covers
To get the most out of this book
Get in touch
Free Chapter
1
Exploring Spring Concepts
Exploring Spring Concepts
Introducing the Spring Framework
Understanding Spring modules
Spring projects
Spring's IoC container
New features in the Spring Framework 5.0
Summary
2
Spring Best Practices and Bean Wiring Configurations
Spring Best Practices and Bean Wiring Configurations
Dependency injection configurations
Performance assessment with different configurations
DI pitfalls
Summary
3
Tuning Aspect-Oriented Programming
Tuning Aspect-Oriented Programming
AOP concepts
AOP proxies
AOP method profiling
Spring AOP versus AspectJ
AOP best programming practices
Summary
4
Spring MVC Optimization
Spring MVC Optimization
Spring MVC configuration
Spring asynchronous processing, @Async annotation
CompletableFuture with Spring Async
Spring Security configuration
Authentication cache
Fast and stateless API authentication with Spring Security
Monitoring and managing Tomcat with JMX
Spring MVC performance improvements
Summary
5
Understanding Spring Database Interactions
Understanding Spring Database Interactions
Spring JDBC configuration
Database design for optimal performance
Transaction management
Optimal isolation levels
Optimal fetch size
Optimal connection pooling configuration
Database interaction best practices
Summary
6
Hibernate Performance Tuning and Caching
Hibernate Performance Tuning and Caching
Introduction to Spring Hibernate and Spring Data
Spring Hibernate configuration
Common Hibernate traps
Hibernate performance tuning
Hibernate programming practices
Summary
7
Optimizing Spring Messaging
Optimizing Spring Messaging
What is messaging?
What is AMQP?
Introducing RabbitMQ
Spring messaging configuration
Maximizing throughput with RabbitMQ
Summary
8
Multithreading and Concurrent Programming
Multithreading and Concurrent Programming
Java classical threads
The java.util.concurrent package
Using thread pools for asynchronous processing
Spring task execution and scheduling
Spring Async
Spring and threads – transactions
Java threads best programming practices
Summary
9
Profiling and Logging
Profiling and Logging
Performance profiling
Application logging and monitoring
Profiling tools
Summary
10
Application Performance Optimization
Application Performance Optimization
Performance issue symptoms
Performance tuning life cycle
Performance tuning patterns and anti-patterns
The iterative performance-tuning process
Spring support of JMX
Summary
11
Inside JVM
Inside JVM
Understanding JVM internals
Understanding memory leak
Common pitfalls
GC
GC methods and policies
Heap memory
JVM flags
Tools to analyze GC logs
Summary
12
Spring Boot Microservice Performance Tuning
Spring Boot Microservice Performance Tuning
Spring Boot configuration
Metrics with Spring Boot Actuator
Health checks
Microservices using Spring Boot
Microservices with Spring Cloud
Spring microservice configuration example
Monitoring microservices with Spring Boot admin
Spring Boot performance tuning
Summary
13
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Introduction to Spring Hibernate and Spring Data

As we saw in previous chapters, Java Database Connectivity (JDBC) exposes an API that hides the database vendor-specific communication. However, it suffers from the following limitations:

  • JDBC development is very much verbose, even for trivial tasks
  • JDBC batching requires a specific API and is not transparent
  • JDBC does not provide built-in support for explicit locking and optimistic concurrency control
  • There is a need to handle transactions explicitly, with lots of duplicate code
  • Joined queries require additional processing to transform the ResultSet into domain models, or data transfer objects (DTO)

Almost all limitations of JDBC are covered by ORM frameworks. ORM frameworks provide for object mapping, lazy loading, eager loading, managing resources, cascading, error handling, and other services at the data access layer. One...

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