Cloud Native Applications and Computing
Cloud native computing is the process of running applications on a cloud platform such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform.
It involves using containers, microservices, and Dev Ops tools to build, deploy, and manage applications in the cloud.There are many benefits to running applications in the cloud, it’s scalable than traditional hosting,easy to add more resources as your application grows. It’s more reliable because you can distribute your application across multiple servers in different regions. If one server goes down, your application will still be available from another server. Extremely cost-effective because you only pay for the resources you use and you don’t have to invest in expensive hardware upfront.
If you’re new to cloud native computing, here are some tips to help you get started:
1) Use Containers: Containers allow you to package up an application with all its dependencies and run it anywhere – on premises or in the cloud.
This makes them ideal for building microservices-based applications that can be deployed quickly and easily.
Docker is currently the most popular container technology but there are others such as rkt from Core OS .
2) Use Microservices: Microservices is an architectural style that involves building applications as a collection of small, independent services. This makes them easier to develop, deploy, and scale than traditional monolithic applications.
If you’re using containers (see tip #1), then you can use orchestration tools such as Kubernetes or Mesos to manage your microservices.
3) Use DevOps Tools: DevOps is a set of practices that automates the process of software delivery and infrastructure management.
There are many different DevOps tools available but some popular ones include Puppet, Chef, Ansible, and Jenkins.
4) Build on a Cloud Platform: A cloud platform provides everything you need to run your application in the cloud – from server instances and storage volumes to load balancers and DNS entries.
AWS is currently the most popular cloud platform but there are others such as Microsoft Azure and Google Cloud Platform.
A container is a standard unit of software that packages up code and all its dependencies so the application runs quickly and reliably from one computing environment to another.
A container image is a lightweight, stand-alone, executable package of a piece of software that includes everything needed to run it: code, runtime, system tools, system libraries, settings.
Containers are isolated from each other and bundle their own software, libraries and configuration files; they can communicate with each other through well-defined channels.
All containers are run by a single operating-system kernel and therefore use fewer resources than virtual machines.
Advantages Of Using Containers:
Containers Are Isolated: By keeping applications separate from each other in their own containers rather than running them on bare metal or inside virtual machines, you increase security & decrease the likelihood that one bad actor will take down your entire infrastructure.
This also allows for easier debugging if something does go wrong since you can more easily identify which container & application is having issues.
- Applications In Containers Have Fewer Interdependencies: Depending on how you structured your microservices architecture, an app Containerized apps have less need to interact with other parts of the system, making them simpler & easier to develop.