Missing out on key Google Cloud Platform services means missing revenue growth

Missing out on key Google Cloud Platform services means missing revenue growth

Are you looking for a comprehensive cloud platform that can support your business growth? Look no further than the Google Cloud Platform! Google Cloud Platform is a suite of cloud computing services offered by Google. It provides a platform for deploying and running applications and services, as well as data storage and management. Developers can use the platform to build applications with scalable performance, high availability, and global reach. In this guide, we will introduce you to the various services and features offered by the Google Cloud Platform.

Google Cloud Platform: offers a wide range of services, including computing, storage, big data, networking, and more. Let’s get an overview of the key services offered by the Google Cloud Platform.

Auto-scaling: Auto scaling allows you to automatically increase or decrease the number of compute instances in your application based on conditions that you specify. This can help you optimize your costs and ensure that your applications have enough resources to handle fluctuations in traffic.

Preemptible VMs: As mentioned earlier, preemptible VMs are cheaper than regular compute instances but can be terminated at any time if Google needs the resources for other purposes. If you don’t mind losing your instances occasionally, then preemptible VMs can be a great way to save money on your computing costs.

Cloud Storage: Cloud Storage is a powerful storage system that enables you to store and access large amounts of data quickly and easily. With Cloud Storage, you can store data in any format (e.g., text files, JSON, images) and access it from anywhere in the world. Additionally, you can use Cloud Storage for streaming video and audio content.

APIs: Google offers a variety of APIs that allow you to build applications with powerful features such as machine learning and natural language processing. These APIs make it easy to add functionality to your applications without having to write complex code yourself.

Google Cloud nested virtualization

If you’re looking for a way to save on costs while using Google Cloud, then you should consider nested virtualization. Google Cloud Nested virtualization allows you to run multiple virtual machines on a single physical server. Let’s find out what nested virtualization is, how it works, and the benefits that it offers. 

What is nested virtualization?

Google Cloud Nested virtualization is the process of running a virtual machine (VM) inside of another VM. This can be done on both public and private clouds, and it offers several benefits, including cost savings and increased efficiency.

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How does nested virtualization work?

When you run a VM inside of another VM, you are essentially creating a “nest” of VMs. The outermost VM is called the parent or host VM, while the innermost VMs are called child VMs. Each layer of nesting requires its own set of resources, such as CPU cores, memory, and disk space. Google Cloud Nested virtualization can be used to create complex topologies with multiple layers of nesting.

What are the benefits of nested virtualization?

There are several benefits to using Google Cloud nested virtualization, including cost savings and increased efficiency. Here are some of the key benefits:

Cost Savings: By running multiple VMs on a single physical server, you can save on hardware costs. This is especially beneficial for large deployments or when you need to consolidate multiple servers into a single platform.

Increased Efficiency: Nested virtualization allows you to use your resources more efficiently. For example, by consolidating multiple servers onto a single platform, you can reduce power consumption and cooling requirements. You can also improve application performance by distributing the load across multiple VMs.

Which Google Cloud VMs support nested virtualization?

Google Cloud offers a number of VMs that support nested virtualization. A few notable facts are:

  • Nested Virtualization is supported on all instance types under Standard Compute Engine except for ‘N’ series instances
  • All C-series Custom Machine Types instances support nesting except for the C-0 and C-100 series
  • Google Cloud Storage does not currently support Google Cloud nested virtualization
  • App Engine Flexible does not currently support nested virtualization
  • Cloud Functions does not currently support nesting
  • Google Container Engine (Kubernetes) supports the nesting of containerized applications, but not full VM images. 

Getting started with Google Cloud Nested virtualization

If you want to start using nested virtualization in Google Cloud, there are a few things you need to know. First, your instance type must support nesting. Second, you will need to enable nested virtualization on your VM instances. This can be done by setting the “nestable” flag when creating or starting an instance. For more information, see the documentation for your specific VM type. Finally, remember that nested virtualization uses additional resources and may impact performance. Be sure to test your applications in a sandbox environment before deploying them into production.

Google Cloud Platform Skills: How to Take Training, Get Certified, and Implement

Google Cloud Platform skills are in high demand these days. It’s perfect for businesses of all sizes – from small businesses all the way up to large enterprises. That’s why organizations of all sizes are making the switch to Google Cloud, and they need skilled professionals to help with the transition. 

If you’re interested in getting started with Google Cloud Platform skills, or if you’re already familiar with it but want to become certified, there are a few things you need to know.  The first step in getting started with Google Cloud is to get familiar with the platform. The best way to do this is by taking some training courses. There are many different training options available, but we recommend starting with the Google Cloud Platform Fundamentals course provided by a Google-recommended GCP training service provider. This course will teach you how to use the basic features of Google Cloud, including:

  • How to create and manage projects
  • How to create and manage resources
  • How to use common cloud services such as Compute Engine, App Engine, and storage

Once you’ve completed the fundamentals course, you can move on to more specialized courses in Google Cloud Platform skills depending on your needs. 


Once you’ve become familiar with the platform and completed some training courses, you may want to consider getting certified in Google Cloud Platform skills. The Google Cloud Certification program offers three levels of certification: Associate, Professional, and Architect. Each level requires different skills and knowledge, so be sure to read the requirements carefully before applying.

Associate level: The Associate level is for individuals who are just starting out with Google Cloud Platform Skills. To pass the exam, you must be able to demonstrate basic proficiency in using GCP services and understand how they fit into the overall Google Cloud Platform.

Professional level: The Professional level is for individuals who have already passed the Associate exam, or for those who have equivalent experience. To pass this exam, you must be able to design and deploy applications on GCP, using best practices.

Architect level: The Architect level is for individuals with significant experience in designing and deploying large-scale applications on GCP. To pass this exam, you must be able to demonstrate mastery of all features and functionality of GCP.

If you’re interested in getting certified, we recommend starting with the Associate level certification. It’s a good way to start building your skills and knowledge, and it’s a requirement for the Professional and Architect levels in Google Cloud Platform skills. 

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Once you’ve completed your training and become certified, it’s time to start implementing Google Cloud Platform skills in your organization. The implementation process can vary depending on your needs and preferences, but we recommend starting with a proof of concept. This will allow you to test out the platform and see how it fits into your existing infrastructure.

Google Cloud Platform offers many different options for training, certification, and implementation. If you’re looking to get started with GCP, we recommend starting with the Fundamentals course and then moving on to more specialized courses. Once you’ve become certified, you may start implementing GCP in your organization.

Google Cloud Application Modernization Program

Google Cloud has announced the Google Cloud Application Modernization Program (CAMP), a new program that helps businesses migrate and transform their business applications to Google’s hybrid and multi-cloud platform. CAMP provides businesses with access to Google’s cloud-native application development capabilities, the delivery model with serverless, DevOps, API management, and migration services. This will help businesses quickly modernize their legacy applications and take advantage of the scalability and flexibility of Google’s cloud platform.

To take advantage of the Google Cloud Application Modernization Program, businesses should start by identifying which applications they want to migrate. Once the applications have been identified, Google’s migration services can help businesses assess and plan for the migration process. Google’s cloud-native application development capabilities will help businesses quickly modernize their legacy applications and take advantage of the scalability and flexibility of Google’s cloud platform. With DevOps, API management, and a serverless delivery model, businesses can easily manage their applications on Google’s hybrid and multi-cloud platform.

Businesses can also take advantage of Google’s consulting and training services to help them with the migration process. By using these tools and services, businesses can quickly and easily migrate their applications to Google’s cloud platform. This will allow businesses to take advantage of the scalability, flexibility, and performance of Google’s cloud platform while modernizing their legacy applications.

A few notable services offered by the Google Cloud Platform

Compute Engine

Google Compute Engine (GCE) is a cloud computing service provided by Google that enables users to create and operate virtual machines on Google’s infrastructure, including storage and networks. Compute Engine provides virtual machines, block storage, and persistent disks, allowing users to run their workloads efficiently on Google’s infrastructure.

App Engine

The App Engine is a platform that allows you to create and run web applications on Google’s infrastructure. With App Engine, you can easily build, maintain, and scale your applications as per your changing traffic and data storage requirements.

Kubernetes Engine

Kubernetes Engine allows you to deploy and manage containerized applications in the cloud with just a few clicks. You can use Kubernetes Engine to run containerized applications across multiple cloud providers, or on-premises.

Kubernetes Engine offers flexible, pay-as-you-go pricing so you only pay for what you use–and no upfront commitments. Create clusters of 1 to 1000 nodes with just a few clicks, or scale up as needed by adding more nodes when traffic increases or new functions are required.

Cloud Storage

Google Cloud Storage is a service that stores your data on Google’s infrastructure. It’s a highly durable, scalable, and reliable storage service for the Internet. Files are stored as objects with metadata; each object also has an HTTP(S) URI that you can use to access it. 


BigQuery is a hosted data warehouse that can query massive datasets and run complex analytics.

BigQuery loads your data into a relational database and makes it easily accessible to users with SQL-like queries. It scales automatically to meet the needs of your application, so there’s no need for you to provision or manage infrastructure.

Cloud AI

Cloud AI is a set of services and APIs that allow you to build and run machine learning models in the cloud. Cloud AI can be used to build custom machine learning models, or use pre-trained models from Google’s ML Model Store.

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Cloud Functions

Cloud Functions are a powerful tool for creating event-driven applications. They allow you to create functions that run in response to events such as HTTP requests, changes in a Cloud Storage bucket, or user activity on Google services like Gmail and Google Calendar.

You can use Cloud Functions as part of the following scenarios:

  • Create new functionality that runs when an event occurs (for example, sending an email when someone signs up for your mailing list).
  • Update existing systems with new features by using triggers such as adding a row in a database table or creating an object in Cloud Storage.
  • Perform quick calculations without having to write code–this is especially useful for scientific analysis where large amounts of data need to be processed quickly without requiring users’ attention (such as analyzing medical images).


If you’re looking for a comprehensive cloud platform that can support your small to large business organization, look no further than Google Cloud. With an impressive array of services and applications available, Google Cloud can help you manage your data storage, computing needs, and more. Ready to get started? Implement Google Cloud today.

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