Wednesday, May 13, 2020

Secret Features Of Google Compute Engine

Our world is leading towards technology and innovation. Businesses, organizations possess a large amount of sensitive data and hence google  introduces a cloud computing service which is Google Compute Engine (GCE). Google Compute Engine (GCE), is the infrastructure service of Google Cloud Platform. Amazon EC2 was announced in 2006 while Microsoft added VMs to Azure in 2012. Google announced the general availability of GCE just in late 2013.
Rather than being the laggard in the IaaS segment, GCE had some more advantages. Administrators can choose a region and zone where specific data resources can be stored and used. Right now, there are 3 regions of GCE: the United States, Europe and Asia. Each region possess two availability zones and each zone supports one of these two- Ivy Bridge or Sandy Bridge processors. GCE offers a suite of tools for administrators to create advanced networks on the regional level. Here are five amazing features of Google Compute Engine (GCE). Let us see one by one.

Five secret features of Google Compute Engine (GCE)-

1. Shared Storage-

To find NAS or SAN appliances deployed in enterprise data centers is very common. They offer shared storage to applications and end users. There is a significant large barrier between on-premises and cloud in the form of shared storage. To imitate NAS -like configurations in the public cloud becomes very difficult for Enterprise customers. Configuring NFS or other shared file systems will negatively impact the performance of applications. There are some block storage devices like Amazon EBS or Azure Page Blobs that can be attached to one at a time.
This restricts the functionality of the disks by limiting to just one VM. Azure and AWS offer shared file system services but still they don’t reach to the performance of a SSD-backed storage device. You can attach one persistent disk to multiple running instances in Google Compute Engine. The main reproach is- the disk is available in read-only mode to the VMs. When data is in read only mode, it helps customers to copy multiple scenarios close to on-premises deployment.

2. Disk Resizing-

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