Author: Zen and the Art of Computer Programming
1 Introduction
The concept of cloud-native programming has gradually formed and become a mainstream trend. As a representative container orchestration system, Kubernetes is a one-stop solution that supports container cluster management, scheduling, and deployment. Spring Boot is one of the hottest frameworks for Java right now. By combining the two, a pattern of cloud-native programming can be achieved. This article will introduce the following aspects:
- What is Cloud Native Programming?
- Why use cloud-native programming patterns?
- Use Spring Boot to develop Kubernetes-based applications
- Detailed explanation of Spring Boot + Kubernetes core components (including Pod, Service, etc.)
- Detailed explanation of Spring Boot + Kubernetes extension components (including ConfigMap, Secret, Volume, etc.)
- Kubernetes cluster environment configuration and operation and maintenance
- Case sharing - building and publishing of microservice clusters based on Spring Boot
Finally, to sum up, cloud-native programming is a new programming method and an architectural design concept. Only by proficiently mastering the relevant knowledge points can the business needs be effectively realized. After mastering these foundations, you can try to use the cloud native programming model to develop your own application system. Spring Boot + Kubernetes are the two most popular components in the field of cloud native programming. If you have the ability to master them, you can build complex distributed systems.
2. What is cloud native programming?
The Cloud Native Computing Foundation defines cloud native programming as "a methodology for building and running portable, self-sufficient, and elastically scalable applications designed to maximize the potential of machines by leveraging resources available on a reliable cloud platform." Its core idea is to improve the lifecycle of applications by focusing on how easily applications can be deployed to the cloud, migrated to new or existing data centers, and continue to maintain optimal performance and availability over time . in other words&