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Part 1 - Google Kubernetes Engine (GKE) | Standard Cluster | Deployment | Cloud Shell
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In this informative YouTube video, we delve into the world of Google Kubernetes Engine (GKE) and explore the process of deploying a standard cluster using the Cloud Shell. If you're interested in harnessing the power of Kubernetes for managing and scaling your containerized applications, this tutorial is perfect for you.
Join us as we take you step-by-step through the process of setting up a standard cluster in GKE. We'll start by introducing the key concepts of GKE and why it has become a popular choice for deploying containerized applications. With its seamless integration with other Google Cloud services, GKE offers an efficient and scalable solution for managing your containers.
Next, we'll guide you through the deployment process, showcasing the power of the Cloud Shell. With Cloud Shell's built-in tools and pre-installed Kubernetes command-line interface (kubectl), you'll have everything you need at your fingertips to create your GKE cluster with ease.
Throughout the video, we'll highlight best practices and provide useful tips to ensure a smooth deployment experience. From configuring the cluster options to managing node pools, you'll gain a comprehensive understanding of the GKE deployment workflow.
By the end of this video, you'll have a solid foundation in deploying a standard GKE cluster using the Cloud Shell, empowering you to leverage the benefits of Kubernetes for efficient container management. Whether you're a beginner or an experienced developer, this tutorial will equip you with the necessary knowledge to get started with GKE and unlock the potential of containerized applications in the cloud.
Don't miss out on this opportunity to expand your skills and discover the capabilities of Google Kubernetes Engine (GKE). Watch the video now and embark on your journey towards efficient container management in the cloud!
Container Registry and Azure DevOps – Docker Hub | ACR | ECR | Artifact Registry
0:00 Introduction
0:24 Prerequisites
0:35 Content
0:55 Google Kubernetes Engine (GKE)
4:36 Create Standard Cluster
12:06 Deploy Sample Web API image from DockerHub
16:10 Access Cluster from Cloud Shell
22:34 Delete Deployment
23:30 Summary
Join us as we take you step-by-step through the process of setting up a standard cluster in GKE. We'll start by introducing the key concepts of GKE and why it has become a popular choice for deploying containerized applications. With its seamless integration with other Google Cloud services, GKE offers an efficient and scalable solution for managing your containers.
Next, we'll guide you through the deployment process, showcasing the power of the Cloud Shell. With Cloud Shell's built-in tools and pre-installed Kubernetes command-line interface (kubectl), you'll have everything you need at your fingertips to create your GKE cluster with ease.
Throughout the video, we'll highlight best practices and provide useful tips to ensure a smooth deployment experience. From configuring the cluster options to managing node pools, you'll gain a comprehensive understanding of the GKE deployment workflow.
By the end of this video, you'll have a solid foundation in deploying a standard GKE cluster using the Cloud Shell, empowering you to leverage the benefits of Kubernetes for efficient container management. Whether you're a beginner or an experienced developer, this tutorial will equip you with the necessary knowledge to get started with GKE and unlock the potential of containerized applications in the cloud.
Don't miss out on this opportunity to expand your skills and discover the capabilities of Google Kubernetes Engine (GKE). Watch the video now and embark on your journey towards efficient container management in the cloud!
Container Registry and Azure DevOps – Docker Hub | ACR | ECR | Artifact Registry
0:00 Introduction
0:24 Prerequisites
0:35 Content
0:55 Google Kubernetes Engine (GKE)
4:36 Create Standard Cluster
12:06 Deploy Sample Web API image from DockerHub
16:10 Access Cluster from Cloud Shell
22:34 Delete Deployment
23:30 Summary
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