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Documentation resources

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Explore self-paced training from Google Cloud Skills Boost, use cases, reference architectures, and code samples with examples of how to use and connect Google Cloud services.
Training
Training and tutorials

Architecting with Kubernetes Engine

This course features a combination of lectures, demos, and hands-on labs to help you explore and deploy solution elements—including infrastructure components like pods, containers, deployments, and services—along with networks and application services.

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Training
Training and tutorials

Kubernetes Qwik Start lab

Learn how to deploy a containerized application with Kubernetes Engine in less than 30 minutes.

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Training
Training and tutorials

Serve LLMs for AI/ML inference using GPUs on GKE with vLLM

This tutorial demonstrates how to use graphical processinng units (GPUs) on GKE to run large language models (LLMs) for AI/ML inference.

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Training
Training and tutorials

Create a cluster and deploy a workload in the Google Cloud console

Learn how to create a Kubernetes cluster and deploy a 'hello world' web app in Google Cloud console.

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Training
Training and tutorials

Setting up HTTP(S) Load Balancing with Ingress

This tutorial shows how to run a web application behind an external HTTP(S) load balancer by configuring the Ingress resource.

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Training
Training and tutorials

Configuring Domain Names with Static IP Addresses

This tutorial demonstrates how to expose your web application to the internet on a static external IP address and configure DNS records of your domain name to point to your application.

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Use case
Use cases

Best practices for continuous integration and delivery to Google Kubernetes Engine

Learn best practices for continuous integration and continuous delivery to GKE, from source control to deployment strategies.

CI/CD GitOps

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Use case
Use cases

Configuring privately used public IPs for GKE

Apply privately used public IP addresses for Google Kubernetes Engine pod address blocks.

VPC Networking

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Use case
Use cases

Best practices for running cost-optimized Kubernetes applications on GKE

Take advantage of the elasticity provided by Google Cloud when running cost-optimized applications on GKE.

Costs

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Use case
Use cases

Modernization path for .NET applications on Google Cloud

Learn a gradual and structured process for modernizing monolithic applications.

Windows .NET Migration

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