One by one to explain: Cloud computing container technology

In today's discussion of the cloud it's hard not to mention container technology. Whether you are new to technology or an experienced professional, you must know these key terms related to container technology in the cloud.

With the popularity of container technology in cloud computing, more and more enterprises do not choose to consider other options.

Although container technology has been around for a long time, Docker has recently come a long way to getting them into enterprise applications. As the cloud grows, more businesses understand the benefits of adopting hybrid and multi-cloud models, but ensuring that software runs smoothly when migrated between environments becomes a challenge. Container technology addresses this challenge by packaging all the components of an application machine into a single, portable package.

In addition, as container technologies become more widely available in cloud computing, mainstream providers, including Amazon Web Services (AWS), Azure, and Google, have provided container services or orchestration tools to enable users to manage the creation and deployment of containers.

However, before users begin to organize their processes, they should first be familiar with these key terms of the container:

Application container: Containers (also known as container-based virtualization) is a distributed application deployment model that provides an alternative to starting a virtual machine for each application. Multiple isolated environments (so-called containers) can share the same operating system kernel instead of running on a single control host. Containers enable more efficient use of resources such as memory, CPUs, and storage than traditional virtualization technologies.

Because enterprise users can create containers faster than hypervisor-based instances, container technology can also help provide a more flexible environment for continuous delivery and microservices.

Container-as-a-Service (CaaS): Cloud providers such as AWS, Azure, and Google provide container-based virtualization as a service to provision orchestrate, manage and compute resources for containerized applications. This so-called CaaS model usually consists of a Linux-based operating system, container uptime, container layout tools, and container registries.

Docker: Docker is an open source platform that deploys Linux applications as containers. Docker containers can run in multiple locations, including virtual machines, bare metal servers, and public cloud instances. Docker containers are supported by major cloud computing providers such as AWS, Azure, and Google.

Google Kubernetes: Kubernetes is Google's container management system for public, private, and hybrid clouds. This open source system manages the deployment and expansion of Docker and Rocket containers, and it also provides orchestration tools and load balancing tools. Just as they support Docker, Kubernetes systems are supported by AWS, Google and Azure. Developers can move Kubernetes container workloads across cloud platforms without changing the code.

Google Container Engine (GKE): GKE is a cloud computing Docker container layout and cluster management system. These clusters include a set of Google Compute Engine instances running Kubernetes. GKE provides access to the Google Container Registry to store and access private Docker images. Stackdriver Logging and Stackdriver Monitoring can also be used to monitor the health of your application.

Microsoft Windows Container: Microsoft Windows Container is an isolated container environment in Windows Server 2016. It supports two types of containers: Windows Server Containers and Hyper-V Containers. Business users can use Docker, PowerShell, or Azure to manage these containers and integrate them with existing Windows technologies.

Azure Container Services (ACS): ACS is an open-source orchestration system based on Apache Mesos that manages container clusters in cloud computing. The service supports DC / OS, Docker Swarm, and Kubernetes extensions and orchestration. Because of the open source components in the orchestration layer, the application is completely portable.

Amazon EC2 Container Services (ECS): Amazon ECS is a container management service that supports Docker containers and runs applications on managed Amazon EC2 instance clusters. Users can create and manage Docker containers through a set of APIs. The service evaluates and monitors CPU usage and supports its own open source programs, AWS Blox and third-party schedulers. Users can also access other Amazon EC2 features through API calls such as Resilient Load Balancing, Security Groups, and Identity and Access Management roles. The Amazon EC2 Container Registry integrates with Amazon ECS to manage, store, and deploy Docker container images.

Developing Container Plans: OCI is a collaborative project that can be used to establish a common standard for containers. Hosted by the Linux Foundation, this project is independent of other business organizations. Currently, OCI has two specifications: run time specification and mirror specification. OCI members include suppliers such as AWS, Google, Microsoft and IBM.

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