Book Image

Cloud-Native Development and Migration to Jakarta EE

By : Ron Veen, David Vlijmincx
Book Image

Cloud-Native Development and Migration to Jakarta EE

By: Ron Veen, David Vlijmincx

Overview of this book

Cloud-Native Development and Migration to Jakarta EE will help you unlock the secrets of Jakarta EE's evolution as you explore the migration and modernization of your applications. You’ll discover how to make your code compatible with the latest Jakarta EE version and how to leverage its modern features effectively. First, you’ll navigate the realm of cloud-native development as you demystify containers and get introduced to the Eclipse MicroProfile, a powerful tool in your toolkit. Next, you’ll take the bold step of transitioning your applications from local hardware to the limitless possibilities of the cloud. By following the author’s expert guidance to deploy your Jakarta EE applications on Microsoft Azure, you’ll gain hands-on experience in managing cloud resources. In the final leg of your journey, you’ll explore the world of serverless architecture. You’ll learn to design and run services that are truly serverless, harnessing the potential of the event-driven paradigm for scalability and cost-efficiency. By the end of this book, you’ll have mastered Jakarta EE and become a proficient cloud-native developer. Join us on this exciting journey of transformation and innovation as you pave the way for the future of Jakarta EE and cloud-native development.
Table of Contents (18 chapters)
1
Part 1: History of Java EE and Jakarta EE
4
Part 2: Modern Jakarta EE
8
Part 3: Embracing the Cloud
Appendix A: Java EE to Jakarta EE names
Appendix B: As a Service

Using Prometheus and Grafana to visualize the monitoring process

With the metrics enabled, we now have a big list of lines that tell us how the system is behaving and what resources the application is using. While this gives you a window into the application tracker, the data is not very clear. You can’t see at a glance if the system is healthy or if some metrics are entering the red zone and are (almost) at their maximum.

To make these metrics more readable so that you can see what is happening inside the system, we are going to set up a dashboard. To create a dashboard, we need two components: Prometheus and Grafana. We will use Prometheus to pull the metrics from the application, store them, and make the data queryable. We will use Grafana to create the actual dashboard that is going to show the metrics.

By doing this, the metrics will be pulled from the application by Prometheus, and Grafana will query Prometheus for the metric data and show it in a dashboard.

Setting...