Book Image

Hands-On Design Patterns with Java

By : Dr. Edward Lavieri
2 (1)
Book Image

Hands-On Design Patterns with Java

2 (1)
By: Dr. Edward Lavieri

Overview of this book

Java design patterns are reusable and proven solutions to software design problems. This book covers over 60 battle-tested design patterns used by developers to create functional, reusable, and flexible software. Hands-On Design Patterns with Java starts with an introduction to the Unified Modeling Language (UML), and delves into class and object diagrams with the help of detailed examples. You'll study concepts and approaches to object-oriented programming (OOP) and OOP design patterns to build robust applications. As you advance, you'll explore the categories of GOF design patterns, such as behavioral, creational, and structural, that help you improve code readability and enable large-scale reuse of software. You’ll also discover how to work effectively with microservices and serverless architectures by using cloud design patterns, each of which is thoroughly explained and accompanied by real-world programming solutions. By the end of the book, you’ll be able to speed up your software development process using the right design patterns, and you’ll be comfortable working on scalable and maintainable projects of any size.
Table of Contents (15 chapters)
Free Chapter
1
Section 1: Introducing Design Patterns
4
Section 2: Original Design Patterns
8
Section 3: New Design Patterns

Understanding the autoscaling design pattern

The autoscaling design pattern typically refers to the ability to auto-scale processing and storage capacity, both by increasing and decreasing assets. This is one of the greatest benefits of using a cloud-based Infrastructure as a Service (IaaS). The concept is simply that when you need additional capacity, your system is automatically scaled. Using the autoscaling reactive design pattern, our systems can automatically react to increases and decreases of system events such as increased or decreased web page visits, number of transactions, larger datasets, and so on.

As an example, we might have designed an online store with the ability to support 100 simultaneous potential customers. What if, during the holiday season, we receive 1,000 simultaneous users all querying our product catalog and processing orders? Our system might not be...