And if your application design supports horizontal scaling, you can start or stop multiple instances of a container to add or remove instances of your application based on the current user demand. You can easily run the same container on your development, test or production system. An added benefit is that the container is highly portable. The main benefit of this approach is that the application becomes independent of the environment. You then run this container in a virtualized environment and isolate the contained application from its environment. The basic idea of containers is to package your software with everything you need to execute it into one executable package, e.g., a Java VM, an application server, and the application itself. Let’s take a look at the different parts. At least that’s how I felt when I read about cloud-native computing for the first time.
You may also wonder how it affects the way you implement your software. But, if you’re new to cloud-native computing, you’re probably still wondering what this is all about. Let’s be honest: “Utilize the advantages of the cloud computing model” sounds great. “An approach that builds software applications as microservices and runs them on a containerized and dynamically orchestrated platform to utilize the advantages of the cloud computing model.” This significantly increases the overall agility and maintainability of applications.”īoth definitions are similar, but looking at the topic from a slightly different perspective, you could summarize the definitions as: Applications are segmented into microservices. Containers are actively scheduled and managed to optimize resource utilization.
This facilitates reproducibility, transparency, and resource isolation.
Each part (applications, processes, etc.) is packaged in its own container. “Cloud native computing uses an open source software stack to be:
0 kommentar(er)
