What is Google Compute Engine in Google Cloud?

Cloud computing has become the buzzword as its market crossed billion of users, today it is delivering tremendous benefits and advantages. The huge necessity for scalability and the elevated cost of electricity is the prime acumens behind the cloud evolution.

 

Initially, Salesforce and Amazon were the essence players in the cloud industry, but soon, Google launched its Google Cloud Platform(GCP). Presently, Google Cloud Platform has marked his position among top five cloud providers including Amazon Web Services, Microsoft Azure, Alibaba Cloud, and IBM.  

 

During this blog, we will discuss Google Compute Engine, one of the top product available at Google Cloud Platform, its benefits and features and many other relevant things.

 

 

A short description of Google Cloud Platform

 

Google Cloud, or generally known as Google Cloud Platform(GCP), is a dominant computing resource-service provider in order to employ and controlling of stack applications and precedes to expand consistently, currently, Google has spread its wings across 61 zones and over 130 points of presence in more than 35 countries around the world. From superfluous cloud region to large-scale bandwidth connectedness through subsea cables, each phase of its infrastructure is constructed in order to provide one’s services to its customers, regardless of the fact where they are across the globe. (Related Reading: A Beginner’s Guide to Cloud Computing)

 

With a broad bandwidth of options for big data, storage and more, Google Cloud Platform has become the public cloud that is the prime preference for many organizations’ users.

 

Discussing below the best features of Google Cloud Platform;

 

1. It gives a myriad of services, a specific sort of services is its compute stack involving Google Compute Engine (GCE), Google Kubernetes Engine (formerly Container Engine) (GKE), Google App Engine (GAE)and Google Cloud Functions (GCF). 

2. It has leveraged many big and small enterprises shift to its platform by virtue of its considerable advantages such as costing, speed, vivid movement, big data, machine learning and others. 

3. More specifically, it enables us to develop, employ, and compute applications, website, mobile applications and services across the same infrastructure as Google. (Check here another tool provided by Google’s open-source)

 

Discussing Google Compute Engine(GCE)

 

As a part of Google’s Infrastructure-as-a-service offering, an individual can make high-performance, fault-tolerant, and high-level measurable compute nodes for managing the requirements of any application at GCE.

 

Following are the specification of Google Compute Engine;

 

1. Google Compute Engine, as an Infrastructure as a Service(IaaS), offers and enables the user to execute workloads on the physical server of Google.

2. It gives a measurable quantity of virtual machines for serving in the terms of huge compute cluster for workloads execution and controls either via RESTful API, command-line interface or web console. 

3. It is a premium (10 min minimum) space as per-pay-user service, while there is no direct fees or predefined time-period devotions, it encounters with Elastic Compute Cloud of Amazon and Microsoft Azure.

4. While implementing GCE, an individual could have the opportunity for making Virtual Machines, locating CPU and Memory, a piece of Storage such as SSD or HDD, along with quality and quantity of storage. 

5. At GCE, one can pick abacus cases that could be of variable range in terms of storage, even customized virtual machines can be built according to workloads.

 

Here is the video that describes the introduction to Google Compute Engine;

 

Google Compute Engine’s Infrastructure is in predefined or customizable machine sizes that stimulate cloud transformation of any user, such as;

 

• General-purpose machines that give smooth stability of price and performance,

• Compute-optimized machines that provide the exclusive performance of CPU for scalable workloads,

• Memory-optimized machines that deliver huge memory space and are excellent choices for in-memory databases, and

• Accelerator-optimized machines that rely on the A100 GPU, for extremely challenging applications.

 

Benefits, Features and Advantages of Google Compute Engine

 

Below are the few benefits of GCE;

 

• Smooth Assimilation: Blending compute with distinct and suitable Google Cloud services like artificial intelligence or Machine Learning and data analytics.

• Compute Globally as per Requirement: Rendering reservations for supporting and securing applications having the strength as per measurement and requirement.

• Gain infinite value: Preventing cost only for executing Compute with sustained-use discounts, and obtaining huge profits while implementing devoted-use discounts. (Source)

 

Below are some essential features of GCE;

 

1. Confidential computing: Confidential VMs is a kind of advance technology, it enables us to encode most delicate data into the cloud while data is being processed.

2. Live migration for VMs: GCE virtual machines can share live-migration among the host systems, it continues applications executing even when the host systems demand maintenance. 

3. Sole-tenant nodes: Sole-tenant nodes are treated as physical Compute Engine servers that are assigned for our use only. These nodes make simplified implementation for bring-your-own-license (BYOL) applications and provide an approach for the similar machine types and VM configuration options in the context of normal compute cases.

4. Predefined machine types: GCE gives predefined virtual machines configuration from small level purpose to large scale memory-optimization cases up to 11.5 TB of RAM or faster compute-optimization cases up to 60 vCPUs.

5. Custom machine types: An individual can make a virtual machine with a custom machine type that could be an appropriate fit for workloads. However, through adopting a custom machine type for some specific necessities, one can save a significant amount form his money.

 

Below are the few advantages of GCE;

 

1. GCE at Full Scale: Its input/output network, around the globe, is way expanding than AWS. Google network infrastructure serves as the backbone for GCE. Being spread over 22 regions with 61 zones, as of Q1 2020, Google is investing billions of dollars globally for connecting with users effectively in cloud computing.

2. Efficient Storage: GCE supports up to 257 TB of storage which is almost 10 times greater than Amazon’s Elastic Block Storage(EBS) as EBS can stockpile up to 16 TB maximum. It is more suitable for organizations that are looking for more scalpel storage spaces.

3. Stability: GCE give more enduring and stable cloud services, as compared to AWS, as it has the potential to live migration of virtual machines amid hosts, i.e, any organization can execute 24*7*365 without any execution barrier or downtime.

4. Cost: Across the Google Cloud platform, paying amount is only for computing time that has been consumed, it uses pay-per-usage (in terms of seconds) billing scheme, opposed to AWS which is per-hour based. Fascinating discounts could also be availed for long-term projects on a monthly basis.

5. Backups: Since Google Cloud offers a strong, inbuilt, and superfluous backup mode, it is leveraged by GCE for its flagships products, like, Gmail and Search Engine.

6. Security: Not only GCE but each robust product of Google also assures security benefits that Google has developed over the years. GCE is a more secure and safe place of cloud applications. (from)

 

Conclusion

 

So, you must have acquired enough knowledge about cloud computing, cloud platform and Google Compute Engine with its promising characteristics. The choice of cloud computing benefits any of the organizations at a very large scale. This is the reason why we have bestowed this deep detail about Google Cloud Platform and Google Compute Engine.