Gain insights into microservice principles, their pros and cons, Micro and Macro architecture, migration strategies, Docker's role, and technologies to effectively implement microservices.

docker_ms2_v3.tar.gz

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Microservices are one of the most important and popular software architecture trends. This architecture forms the base for a lot of companies including: Amazon, Netflix, Spotify, and Uber. 

In this course you’ll learn microservices in depth and understand reasons for and against microservices. Beyond that, you’ll learn about Micro and Macro architecture, strategies for migrating old systems, the role of Docker in this architecture, and technologies for implementing microservices. 

After taking this course, you’ll be better equipped to implement microservices for your own use.

An Introduction to Microservice Principles and Concepts

# Operation

Spring Boot also has some interesting approaches for operation.

## Deployment in Spring
- To deploy a Spring Boot application, it is enough to just copy the **JAR file** to the server and start it. Deploying a Java application can’t be further simplified.

## Configuration in Spring
- Spring Boot offers numerous options for the [configuration](https://docs.spring.io/spring-boot/docs/2.1.2.RELEASE/reference/html/boot-features-external-config.html). For example, a **Spring Boot** application can read the configuration from a configuration file or from an environment variable. **Spring Cloud** offers support for **Consul** as a server for configurations. The examples in this course use `application.properties` files for configuration because they are relatively easy to handle.

## Logs in Spring
- Spring Boot applications can generate [logs](https://docs.spring.io/spring-boot/docs/2.1.2.RELEASE/reference/html/boot-features-logging.html) in many different ways. Usually, a Spring Boot application displays the logs in the console. Output to a file is also possible. A Spring Boot application can also send the logs as **JSON** data to a central server instead of using a simple human-readable text format. JSON facilitates the processing of log data on this server.

## Metrics in Spring
- For metrics, Spring Boot offers a **special starter**, namely the [Actuator](https://docs.spring.io/spring-boot/docs/2.1.2.RELEASE/reference/html/production-ready.html). After adding a dependency to spring-boot-starter-actuator, the application collects metrics, for example about the HTTP requests. In addition, **Spring Boot Actuator** provides **REST endpoints** under which the metrics are available as JSON documents. 


In this lesson, we'll be looking at how the Spring framework handles the operation of microservices. 
Let's begin!

Preface

Microservices

Micro and Macro Architecture

Migration

Docker

Technical Micro Architecture

Appendix

Spring Boot for Microservices: Operation

Operation #

Deployment in Spring #