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

Technical metrics

Technical metrics indicate the load and responsiveness of the system. Prime examples for these metrics are the response time, as well as the throughput, often gathered as requests or transactions per second, respectively. They provide information about how the overall system currently performs.

These metrics will ultimately have an impact on other, business-related metrics. At the same time, as we have seen in the previous section, these metrics are just indicators and themselves affected by a lot of other technical aspects, namely all properties of jPDM subsystems.

Therefore, an application's performance is impacted by a lot of technical influences. Thus, the question is, which technical metrics besides response time, throughput, error rates, and uptime should reasonably be collected?

Types of technical metrics

Technical metrics are primarily concerned with the quality of the application's service, such as response times or throughput. They are the indicators that represent...