/Spring-Boot-Tips-Tricks-and-Techniques

Spring Boot: Tips, Tricks and Techniques [Video], published by Packt

Primary LanguageJavaMIT LicenseMIT

Spring Boot: Tips, Tricks, and Techniques [Video]

This is the code repository for Spring Boot: Tips, Tricks, and Techniques [Video], published by Packt. It contains all the supporting project files necessary to work through the video course from start to finish.

About the Video Course

This course sets out to supply new possibilities. You will cover many aspects of Spring Boots: some you may know, and some you probably never knew existed. This course will boost your skills and will let you explore best practices and techniques to help you improve your application development. In this course, you'll learn to implement practical and proven techniques and adopt a quicker way to develop applications using Spring Boot. Each section covers techniques (with clear instructions) you can use to carry out different development tasks in a practical manner. We cover how to make your apps more maintainable, testable, fault-tolerant, and resilient. By the end of this course, you will have the knowledge and confidence to harness the Spring Boot tips, best practices, and techniques covered in the course to make your coding and app development projects achieve their maximum potential performance-wise.

What You Will Learn

  • How to avoid common Dependency Injection pitfalls
  • Use scopes of beans to control component lifecycles
  • Leverage Spring profiles to load environment-specific configurations
  • Use programmatic configuration over XML to define beans
  • Use Spring REST constructs to create a robust API
  • Make your tests more maintainable
  • Create fault-tolerant microservices by the proper configuration of REST templates
  • Make production applications more maintainable with robust monitoring

Technical Requirements

For successful completion of this course, students will require the computer systems with at least the following:
• IntelliJ IDEA
• Java JDK 8 or later

Recommended Hardware Requirements:

For an optimal experience with hands-on labs and other practical activities, we recommend the following configuration:
• Processor: I7 2.8
• Memory: 16GB
• Hard Disk Space: 200MB
• Video Card: 256MB Video Memory

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