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Kubernetes Manifests
Kubernetes has become the de facto standard for container orchestration, providing a robust platform for deploying, scaling, and managing containerized applications. Central to Kubernetes operations are manifests, which are configuration files that define the desired state of your applications and the Kubernetes resources they use. This article delves into what Kubernetes manifests are, why they…
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Kubernetes Objects: The Building Blocks of Your Cluster
In Kubernetes, the term objects refers to persistent entities that represent the state of your cluster. These are sometimes called API resources or Kubernetes resources. They are defined in YAML or JSON format and are submitted to the Kubernetes API server to create, update, or delete resources within the cluster. Key Kubernetes Objects 1. Pod…
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The Container Runtime Interface (CRI)
Evolution of CRI Initially, Kubernetes was tightly coupled with Docker as its container runtime. However, to promote flexibility and support a broader ecosystem of container runtimes, Kubernetes introduced the Container Runtime Interface (CRI) in version 1.5. CRI is a plugin interface that enables Kubernetes to use various container runtimes interchangeably. Benefits of CRI Popular Kubernetes…
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Understanding the Main Kubernetes Components
Kubernetes has emerged as the de facto standard for container orchestration, enabling developers and IT operations teams to deploy, scale, and manage containerized applications efficiently. To fully leverage Kubernetes, it’s essential to understand its core components and how they interact within the cluster architecture. This article delves into the main Kubernetes components, providing a comprehensive…
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How to Debug Pods in Kubernetes
Debugging pods in Kubernetes can be done using several methods, including kubectl exec, kubectl logs, and the more powerful kubectl debug. These tools help you investigate application issues, environment misconfigurations, or even pod crashes. Here’s a quick overview of each method, followed by a more detailed explanation of ephemeral containers, which are key to advanced…
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From Development to Production: Exploring K3d and K3s for Kubernetes Deployment
The difference between k3s and k3d. K3s and k3d are related but serve different purposes: K3s: K3d: Key differences: In essence, k3d is a tool that makes it easy to run k3s clusters locally in Docker, primarily for development purposes. K3s itself is the actual Kubernetes distribution that can be used in various environments, including…
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Where is the Kubeconfig File Stored?
The kubeconfig file, which is used by kubectl to configure access to Kubernetes clusters, is typically stored in a default location on your system. The default path for the kubeconfig file is: The ~/.kube/config file contains configuration details such as clusters, users, and contexts, which kubectl uses to interact with different Kubernetes clusters. How to…
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Installing and Testing Sealed Secrets on a k8s Cluster Using Terraform
Introduction In a Kubernetes environment, secrets are often used to store sensitive information like passwords, API keys, and certificates. However, these secrets are stored in plain text within the cluster, making them vulnerable to attacks. To secure this sensitive information, Sealed Secrets provides a way to encrypt secrets before they are stored in the cluster,…
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How to Manage Kubernetes Clusters in Your Kubeconfig: Listing, Removing, and Cleaning Up
Kubernetes clusters are the backbone of containerized applications, providing the environment where containers are deployed and managed. As you work with multiple Kubernetes clusters, you’ll find that your kubeconfig file—the configuration file used by kubectl to manage clusters—can quickly become cluttered with entries for clusters that you no longer need or that have been deleted.…
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GKE Autopilot vs. Standard Mode
When deciding between GKE Autopilot and Standard Mode, it’s essential to understand which use cases are best suited for each mode. Below is a comparison of typical use cases where one mode might be more advantageous than the other: 1. Development and Testing Environments 2. Production Workloads 3. Microservices Architectures 4. CI/CD Pipelines Billing in…