DevOps metrics Spring Boot monitoring

Spring Boot 2.0 actuator change analysis

Some years ago, I discovered the Spring Boot actuator: Spring Boot includes a number of additional features to help you monitor and manage your application when it’s pushed to production. You can choose to manage and monitor your application using HTTP endpoints, with JMX or even by remote shell (SSH or Telnet). Auditing, health and metrics gathering can be automatically applied to your application. To sum it up, the actuator offers endpoints that allow monitoring of the application from

Elasticsearch metrics Spring Boot monitoring devops JMX jest jolokia

Feeding Spring Boot metrics to Elasticsearch

This week’s post aims to describe how to send JMX metrics taken from the JVM to an Elasticsearch instance. Business app requirements The business app(s) has some minor requirements. The easiest use-case is to start from a Spring Boot application. In order for metrics to be available, just add the Actuator dependency to it: <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-actuator</artifactId> </dependency&

microservice Spring Framework Spring Cloud Kotlin HTTP monitoring Sleuth

HTTP headers forwarding in microservices

Microservices are not a trend anymore. Like it or not, they are here to stay. Yet, there’s a huge gap before embracing the microservice architecture and implementing them right. As a reminder, one might first want to check the many fallacies of distributed computed. Among all requirements necessary to overcome them is the ability to follow one HTTP request along microservices involved in a specific business scenario - for monitoring and debugging purpose. One possible implementation of it