Book Image

Hands-On Cloud-Native Microservices with Jakarta EE

By : Luigi Fugaro, Mauro Vocale
Book Image

Hands-On Cloud-Native Microservices with Jakarta EE

By: Luigi Fugaro, Mauro Vocale

Overview of this book

Businesses today are evolving rapidly, and developers now face the challenge of building applications that are resilient, flexible, and native to the cloud. To achieve this, you'll need to be aware of the environment, tools, and resources that you're coding against. The book will begin by introducing you to cloud-native architecture and simplifying the major concepts. You'll learn to build microservices in Jakarta EE using MicroProfile with Thorntail and Narayana LRA. You'll then delve into cloud-native application x-rays, understanding the MicroProfile specification and the implementation/testing of microservices. As you progress further, you'll focus on continuous integration and continuous delivery, in addition to learning how to dockerize your services. You'll also cover concepts and techniques relating to security, monitoring, and troubleshooting problems that might occur with applications after you've written them. By the end of this book, you will be equipped with the skills you need to build highly resilient applications using cloud-native microservice architecture.
Table of Contents (14 chapters)

Grafana

Prometheus's best friend is Grafana. Grafana is open source, and so it provides a great interface for creating and exposing dashboards. It is mainly used for visualizing time series data with charts, pie charts, plots, bars, and gauges.

Grafana supports querying Prometheus. The Grafana data source for Prometheus has been included since Grafana 2.5.0, which was published on October 28, 2015.

Nonetheless, in a cloud container environment, infrastructure metrics are a must, so keeping an eye on the host running the containers must be a key point of the monitoring view.

There is an exporter of such metrics called Node-exporter, which exposes machine-level metrics from the system's kernel, CPU, memory, disk space, disk I/O, network bandwidth, and motherboard temperature.

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