Microservice Observability you own this product

prerequisites
basic knowledge of log, metrics and health check concepts
skills learned
configure healthiness and readiness probes • configure the application to export basic metrics • define custom metrics • configure the application logger
Daniel Petisme
1 week · 2-4 hours per week · INTERMEDIATE
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Chill+, a video streaming platform, is becoming increasingly popular. To support its success, the company, which uses Java to develop its microservice architecture, is scaling out its Kubernetes cluster. As a software engineer, your task is to take control of the company’s skyrocketing infrastructure costs, and your solution is to reduce resource consumption by increasing observability. You’ll configure Chill+’s Catalog API log using Quarkus’ built-in logging capabilities, add default Quarkus healthiness and readiness probes, and use Micrometer, a JVM-based metrics instrumentation library, to expose the API’s performance and export those metrics to Prometheus and Grafana. When you’re done, you’ll have provided a level of observability that will help Chill+ monitor and reduce resource consumption, significantly decreasing infrastructure costs.

This project is designed for learning purposes and is not a complete, production-ready application or solution.

project author

Daniel Petisme

Daniel Petisme has an engineering degree in IT, and he’s been mixing technical expertise and innovation at Michelin for the past ten years. He joined Confluent in March 2021 as a customer success architect providing support and guidance about Kafka-related technologies. He’s a strong believer in open source, and he channels his passion for learning and sharing knowledge by teaching several software-related courses to IT engineers, and co-organizing local technical events. He’s a part of the JHipster and Vert.x core team and actively contributes to Kafka and Quarkus.

prerequisites

This liveProject is for software engineers with experience building Java applications, as well as basic knowledge of logging and monitoring. To begin these liveProjects you’ll need to be familiar with the following:

TOOLS
  • Basic understanding of using Maven to build a Java-based application
  • Basic understanding of Docker containers
TECHNIQUES
  • Run curl commands and use Linux environment variables on the command line
  • Configure a logging framework in a Java ecosystem
  • Develop Java tests using frameworks like JUnit, Mockito, and test containers

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