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Hybrid Cloud Service in GCP

Hybrid Cloud is an integrated Service which is utilizing private and public cloud facilities. Google Cloud Platform implemented this hybrid cloud as kubernetes which is basically an open source project for auto deployment, scalability and containerizing the applications.

Hybrid Cloud Service in GCP

A Hybrid Cloud is basically nothing but an integrated service of cloud computing which is utilizing both private and public cloud to perform various operations. We can also say the hybrid cloud is the mixture of a private cloud and public cloud. For example, if an organization created a mixed environment of private cloud and public cloud then this framework can utilize the public resources to scale up their internal resources.

Benefits of using Hybrid Cloud:


  • Scalable

  • Cost Efficient for organization  

  • Highly Secure for organizational need


How Google Cloud Platform Implemented Hybrid cloud:


Google has launched an open source project Kubernetes. Basically, kubernetes is an open source project for auto deployment scalability, and containerizing applications, it works as an intermediary between private cloud and public cloud, the company is now offering an integrated set of cloud services that can be deployed on both the Google Cloud Platform and in on-premise environments.


GKE on Premise:


This the core Google Cloud server which is managing the containers in the cloud. Basically, Google is providing a facility by using GCP console panel to access both on premise and GKE clusters .


Benefits of Kurbernets Engine:


  • You can deploy a variety range of application

  • Operation can be done with high availability

  • Scale according to your organizational demand  

  • Run every application securely through Google's Network

  • Move according to wish from on-Premises to Cloud


Features:

  • Network Hybriding facilities

  • Docker Image support facilities

  • Registration for private container

  • Auto scale & Auto update

  • Resource limitation for each container (CPU & MEMORY)

  • Operating system Built for each and every container (More than 100 os available)

  • Auto upgrade facilities

  • Portable to work within on-premise and cloud server

  • Dashboard facilities for inspection, delete and manage resources




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