Book Image

Architecting Modern Java EE Applications

By : Sebastian Daschner
Book Image

Architecting Modern Java EE Applications

By: Sebastian Daschner

Overview of this book

Java EE 8 brings with it a load of features, mainly targeting newer architectures such as microservices, modernized security APIs, and cloud deployments. This book will teach you to design and develop modern, business-oriented applications using Java EE 8. It shows how to structure systems and applications, and how design patterns and Domain Driven Design aspects are realized in the age of Java EE 8. You will learn about the concepts and principles behind Java EE applications, and how to effect communication, persistence, technical and cross-cutting concerns, and asynchronous behavior. This book covers Continuous Delivery, DevOps, infrastructure-as-code, containers, container orchestration technologies, such as Docker and Kubernetes, and why and especially how Java EE fits into this world. It also covers the requirements behind containerized, zero-dependency applications and how modern Java EE application servers support these approaches. You will also learn about automated, fast, and reliable software tests, in different test levels, scopes, and test technologies. This book covers the prerequisites and challenges of distributed systems that lead to microservice, shared-nothing architectures. The challenges and solutions of consistency versus scalability will further lead us to event sourcing, event-driven architectures, and the CQRS principle. This book also includes the nuts and bolts of application performance as well as how to realize resilience, logging, monitoring and tracing in a modern enterprise world. Last but not least the demands of securing enterprise systems are covered. By the end, you will understand the ins and outs of Java EE so that you can make critical design decisions that not only live up to, but also surpass your clients' expectations.
Table of Contents (22 chapters)
Title Page
About the Author
About the Reviewer
Customer Feedback
Appendix: Links and further resources

Tackling performance issues

Technical metrics, such as response time, throughput, error rates or uptime indicate the responsiveness of the system. As long as the application's responsiveness is in acceptable ranges, there is arguably no other metric to consider. Insufficient performance means that the system's SLAs are not being met, that is, the response time is too high or client requests fail. Then the question arises: what needs to be changed to improve the situation?

Theory of constraints

If the desired load on the system increases, the throughput ideally increases as well. The theory of constraints is based on the assumption that there will be at least one constraint that will throttle the system's throughput. The constraints or bottlenecks therefore cause a performance regression.

Like a chain that is only as strong as its weakest link, the constraining resource limits the overall performance of the system or certain functionality thereof. It prevents the application from handling more...