Google Compute Engine (GCE)

  1. Per-Second Billing: Google Compute Engine offers per-second billing for instances, which means you pay only for the exact amount of time your instances are running. This feature allows you to optimize costs for short-lived workloads and save money when compared to traditional hourly billing models.
  2. GPUs and TPUs: GCE supports attaching GPUs (Graphics Processing Units) and TPUs (Tensor Processing Units) to instances for running machine learning, scientific simulations, rendering, and other high-performance computing workloads. These specialized hardware accelerators can significantly improve the performance of compute-intensive tasks.
  3. Instance Templates: Instance templates define the configuration of instances, such as machine type, image, disk, and network settings. You can use instance templates to create multiple instances with the same configuration and ensure consistency across your environment.
  4. Deployment Manager: Deployment Manager is an infrastructure management service that helps you automate the creation and management of Google Cloud resources using declarative configurations. You can use Deployment Manager to create, update, and delete instances, disks, and other GCE resources.
  5. Container-Optimized OS: Container-Optimized OS is a lightweight, secure, and minimal operating system provided by Google for running Docker containers on GCE instances. It is optimized for performance, security, and easy updates, making it an ideal choice for running containerized applications.
  6. License Mobility: License Mobility allows you to bring your existing software licenses, such as Microsoft SQL Server or Oracle Database, to GCE instances. This feature enables you to reduce costs and leverage your existing investments when migrating workloads to the cloud.
  7. Compute Engine SLA: Google Compute Engine offers a Service Level Agreement (SLA) that guarantees a certain level of availability for instances. The SLA specifies a monthly uptime percentage and provides service credits if the commitment is not met.
  8. Regions and Zones: GCE instances can be deployed in multiple regions and zones worldwide, ensuring low latency, high availability, and fault tolerance. Understanding how to choose the right region and zone for your instances can help you optimize performance and costs.
  9. Billing Export: GCE integrates with Google Cloud Billing to provide detailed billing information for your instances and other resources. You can export your billing data to BigQuery for analysis or use the Cloud Console to visualize your costs and set up budgets and alerts.
  10. Some useful command of GCP Compute Engine
ServiceCommand Group Common ActionsFull CLI Commands
Compute Enginegcloud compute instancesCreate instancegcloud compute instances create INSTANCE_NAME –zone ZONE –machine-type MACHINE_TYPE –image-family IMAGE_FAMILY –image-project IMAGE_PROJECT
List instancesgcloud compute instances list
Describe instancegcloud compute instances describe INSTANCE_NAME –zone ZONE
Start instancegcloud compute instances start INSTANCE_NAME –zone ZONE
Stop instancegcloud compute instances stop INSTANCE_NAME –zone ZONE
Delete instancegcloud compute instances delete INSTANCE_NAME –zone ZONE
gcloud compute instance-templatesCreate instance templategcloud compute instance-templates create TEMPLATE_NAME –machine-type MACHINE_TYPE –image-family IMAGE_FAMILY –image-project IMAGE_PROJECT
List instance templatesgcloud compute instance-templates list
Delete instance templategcloud compute instance-templates delete TEMPLATE_NAME
gcloud compute instance-groupsCreate managed instance groupgcloud compute instance-groups managed create INSTANCE_GROUP_NAME –template TEMPLATE_NAME –size SIZE –zone ZONE
List managed instance groupsgcloud compute instance-groups managed list
Delete managed instance groupgcloud compute instance-groups managed delete INSTANCE_GROUP_NAME –zone ZONE

Pages: 1 2

Glance and Google’s Next-Level Gaming Recommendation Engine

Collaborative Excellence: Glance and Google’s Next-Level Gaming Recommendation Engine Introduction: In the dynamic gaming industry, personalized recommendations are crucial for..

gcp_ml gcp_ml

Digits and Google Cloud ML

The Impact on the Accounting Profession The integration of Google Cloud ML in accounting, led by innovative companies like Digits,..

GCP AI GCP AI

Google Cloud’s Vertex AI Model Garden and the Launch of Generative AI Studio

Google Cloud’s Vertex AI Model Garden and the Launch of Generative AI Studio Artificial Intelligence (AI) and Machine Learning (ML)..

GCP AI/ML GCP AI/ML

Google Cloud’s Pioneering AI Models and the Launch of Generative AI Studio

 Google Cloud’s Pioneering AI Models and the Launch of Generative AI Studio Artificial Intelligence (AI) continues to break new grounds,..

GCP App Engine GCP App Engine

How to scale an App Engine application in GCP?

Scaling an App Engine application involves configuring the scaling settings in the app.yaml file and deploying the changes. I’ll provide..

How to enable SSL for a custom domain in App Engine in GCP?

To enable SSL for a custom domain in App Engine, you need to map your custom domain to your App..

How to set environment variables for an App Engine application in GCP?

To set environment variables for an App Engine application, you need to define them in the app.yaml configuration file. The..

How to delete a specific version of an App Engine application in GCP?

To delete a specific version of an App Engine application in GCP, you can use the Google Cloud Console and..

How to stop a specific version of an App Engine application in GCP?

To stop a specific version of an App Engine application in GCP, you can use the Google Cloud Console and..

How to view the logs of an App Engine application in GCP?

You can view the logs of an App Engine application in GCP using the Google Cloud Console and the gcloud..