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What is Google Kubernetes Engine (GKE)? & Key Resources

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What is Google Kubernetes Engine (GKE)

Google Kubernetes Engine (GKE) provides a managed Kubernetes service on Google Cloud Platform (GCP), allowing users to deploy, manage, and scale containerized applications using Kubernetes. GKE abstracts away the complexities of managing Kubernetes clusters, providing a streamlined experience for developers and operators. - Google Cloud Platform Online Training


Here are some of the key resources and components provided by Google Kubernetes Engine:

1.     Kubernetes Clusters:

·   GKE allows users to create Kubernetes clusters with a few simple clicks or through the command-line interface (CLI). These clusters consist of one or more compute instances (nodes) that run Kubernetes components like the kubelet, kube-proxy, and container runtime (e.g., Docker).

2.     Nodes:

·    Nodes are virtual machine instances (VMs) that form the underlying compute infrastructure of a Kubernetes cluster. These nodes run the workloads (pods) of containerized applications and are managed by the Kubernetes control plane. - GCP Training in Hyderabad

3.     Node Pools:

·      GKE allows users to create multiple node pools within a Kubernetes cluster, each with its configuration and set of VM instances. Node pools enable organizations to customize the compute resources and characteristics (e.g., machine type, autoscaling settings) for different workloads within the same cluster.

4.     Master Components:

·   GKE manages the Kubernetes control plane components, including the API server, controller manager, scheduler, etc. These master components are responsible for orchestrating and managing the cluster's resources, handling API requests, and maintaining cluster state.

5.     Networking:

·    GKE provides networking capabilities to enable communication between pods, services, and external resources. It uses Google Cloud Networking features such as Virtual Private Cloud (VPC), subnets, and network policies to create isolated network environments for Kubernetes clusters. - GCP Online Training

6.     Load Balancing:

·      GKE integrates with Google Cloud Load Balancing services to distribute traffic across pods and services deployed in the Kubernetes cluster. It supports HTTP(S) load balancing, TCP/UDP load balancing, and internal load balancing for applications running on GKE.

7.     Storage:

·   GKE offers various storage options for persisting data in Kubernetes clusters, including Google Cloud Persistent Disks (PD), Google Cloud Filestore, and Google Cloud Storage. Users can dynamically provision and attach storage volumes to their pods using Kubernetes PersistentVolumeClaims (PVCs). - Google Cloud Online Training Hyderabad

8.     Monitoring and Logging:

·     GKE integrates with Google Cloud Monitoring and Logging services to provide visibility into cluster performance, resource utilization, and application logs. Users can monitor cluster health, set up alerts, and analyze logs to troubleshoot issues and optimize performance.

Overall, Google Kubernetes Engine (GKE) provides a comprehensive set of resources and services for deploying, managing, and scaling containerized applications with Kubernetes on the Google Cloud Platform (GCP). It simplifies the process of building and operating Kubernetes clusters, allowing organizations to focus on developing and delivering their applications without worrying about the underlying infrastructure. - GCP Training in Ameerpet

 

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