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UdemyKube By Example - Spring Boot Microservices on Kubernetes
4.5(217)14k studentsALL LEVELSEnglish
Korshub's take
A Hands-On Kubernetes Project, Not Just Theory
Rather than teaching Kubernetes concepts in isolation, this course works through a realistic scenario: four Spring Boot microservices, communicating via REST APIs and JMS messages, deployed and connected inside a Kubernetes cluster. You'll compose each service into a Deployment and use Kubernetes Services to let them talk to one another.
Who It's For
Best suited to developers who already have some exposure to Spring Boot and Docker and want to see how those pieces fit into a production-style Kubernetes setup, rather than a first introduction to containers.
Key Takeaways
- Configuring Readiness and Liveness probes correctly
- Setting up graceful shutdown to avoid data loss on redeploys
- Why consolidated logging matters once you have multiple running instances
- Using the ELK stack (Elasticsearch, Logstash, Kibana) to search across service logs
A grounded way to see real microservices operations rather than a single toy deployment.
About this course
Kubernetes is a container orchestration system used to automate software deployment, scaling and management.
Effectively, Kubernetes is a management tool direct the running of Docker images.
This course is designed to give you more of 'real world' application of Kubernetes.
You are given four different Spring Boot Microservices, which compose an application. The services communicate via RESTful APIs or JMS messages.
You will learn how to compose each service into a Kubernetes Deployment. And then use Kubernetes Services to expose the microservices to each other.
With Kubernetes, it is a best practice to configure Readiness and Liveness probes. Since our services are persisting data, we will also configure a graceful shutdown to prevent any data loss.
One common issue with Microservices is logging. Each running instance will generate its own log output. Thus, it is common to use consolidated logging.
A very common approach is to use the ELK stack (Elasticsearch, Logstash, Kibana). Elasticsearch is a full-text search engine. Logstash is used to get log data into a common format for Elasticsearch. And Kibana is a power data visualization engine. Together, these tools allow you to consolidate and search through your log data.
If you wish to see a realistic example of Spring Boot Microservices being managed in a Kubernetes environment, enroll in this course today!
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