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Introduction This article is here to guide you on using Pod  in Kubernetes . I'll give you some concepts and commands that Kubernetes often uses to handle Pod . Pod Introduction A Pod is the smallest deployable unit in Kubernetes . Here are some key points about Pods: Multiple Containers : A Pod can contain more than one container, and there's no limit to how many containers you can run inside a Pod. These containers are relatively tightly coupled and share resources such as disk. Shared Resources : All the containers inside a Pod are connected via localhost and share the same memory space. They also share storage (volumes), IP address, and configuration information. Unique IP Address : Each Pod gets a unique IP address. Ephemeral Nature : Pods are ephemeral in nature; they can be created, deleted, and updated. Prerequisites Before we begin, make sure you have the following: For Kubernetes systems, you can use minikube or have permissions to provision resources on cloud pro

Introduction to Terraform Terraform is an Infrastructure as Code (IaC) tool developed by HashiCorp . It allows you to build, change, and version your infrastructure safely and efficiently. Here are some key features of Terraform : Human-Readable Configuration Files : Terraform lets you define both cloud and on-prem resources in human-readable configuration files that you can version, reuse, and share. Multi-Cloud Support : Terraform can manage infrastructure on multiple cloud platforms. Providers enable Terraform to work with virtually any platform or service with an accessible API. Lifecycle Management : The core Terraform workflow consists of three stages: Write : Define resources across multiple cloud providers and services. Plan : Terraform creates an execution plan describing what it will create, update, or destroy. Apply : On approval, Terraform performs the proposed operations in the correct order, respecting any resource dependencies. State Management : Terraform keeps track

Introduction This article provides simple step-by-step instructions for those who are new to Google Cloud Platform (GCP) and Google Kubernetes Engine (GKE) . I'll guide you through using  GKE  to create clusters and deploy nginx . The instructions below will primarily use gcloud  and kubectl  to initialize the cluster, which is more convenient than manual management on the Google Cloud interface. Prerequisites First, you need to prepare the following: Have a GCP account with permission to use Cloud services. If you're new, you'll get a $300 free trial to use for 90 days . Create a new GCP project. Enable Compute Engine and Kubernetes Engine services. Install Google Cloud SDK and kubectl For this installation step, refer to the GCP documentation for instructions tailored to your operating system. Once installed, execute the following commands to check if gcloud  and kubectl  are installed: gcloud version kubectl version If you see the version result, we'll proc