Google Cloud Virtual Machines

Google Cloud Virtual Machines is a service provided by Google Cloud Platform that allows users to run their applications on virtual machines that are hosted on Google's infrastructure. In this service, users can create, start, stop, and manage virtual machines in the cloud.

Steps/Explanation

1. Create an instance: To create a virtual machine instance, the user needs to choose an instance type, such as a n1-standard-2 (2 vCPUs, 7.5 GB memory) or custom machine type, select an operating system from the list of supported images and then create a new instance with the necessary specifications.

2. Configure the instance settings: Once the instance is created, users can configure settings such as network IP addresses, machine size, and disk sizes. Users can also attach and detach disks as needed.

3. Connect to the instance: Users can connect to their virtual machine instance using SSH or RDP protocols, depending on the operating system being used.

Examples and Use Cases

• Development and testing environments: Developers can use Google Cloud Virtual Machines to create and manage multiple development and testing environments on the cloud.
• Web applications and services: Users can deploy their web applications and services on virtual machines hosted in the cloud to save the costs of managing their own on-premises servers.
• Big data and analytics: Enterprises that require large-scale data processing can use Google Cloud Virtual Machines to setup a Hadoop or Spark cluster on a virtual machine instance.

Important Points

• Google Cloud Virtual Machines allows users to run their workloads on Google's data centers that are secured and globally distributed.
• Users only pay for their virtual machine instances when they are running.
• Google Cloud Platform has a range of compliance certifications, including ISO 27001, SOC 2, HIPAA, and PCI DSS.

Summary

Google Cloud Virtual Machines is a reliable and cost-effective service that helps users to create, start, stop, and manage virtual machines in the cloud. It provides a wide range of features and integrations, making it easier for users to deploy their workloads on the cloud. With the option to choose different machine types and operating systems, users can easily scale their applications to meet business demands.