🚀 Excited to kick off Day 41 of our DevOps-K8s exploration! 🌐 Let's understand about kubeconfig and API groups. Kubeconfig serves as a gateway to the Kubernetes cluster. It's a configuration file that specifies how to connect to a cluster. One crucial aspect of kubeconfig is understanding API groups. API groups in Kubernetes are a way to organize and scope related resources. They provide a namespace for different types of objects. Understanding API groups helps in accessing and manipulating resources within the Kubernetes cluster. Here's an example to illustrate: Suppose we have a Kubernetes cluster with a custom resource definition (CRD) for "PodLogs." The corresponding API group for this CRD is "logs.example.com/v1." Here's a snippet from a kubeconfig file: apiVersion: v1 clusters: - cluster: server: https: //cluster.example.com name: example-cluster contexts: - context: cluster: example-cluster user: admin name: example-context current-context: example-context kind: Config preferences: {} users: - name: admin user: client-certificate: /path/to/admin.crt client-key: /path/to/admin.key In this example: - The `server` field specifies the address of the Kubernetes API server. - `context` defines the cluster and the user to use for authentication. - `users` section specifies the user credentials. To interact with our custom resource "PodLogs," we need to specify the API group in our manifests. Here's an example manifest file: apiVersion: logs.example.com/v1 kind: PodLogs metadata: name: my-pod-log spec: # specify your spec here In this manifest: - `apiVersion` includes the API group (`logs.example.com/v1`) and the resource version (`PodLogs`). - `kind` specifies the type of Kubernetes object. - `metadata` contains information like the name of the resource. 💻 Understanding kubeconfig and API groups is crucial for seamless interaction with Kubernetes clusters and custom resources. #KubernetesTips #DevOps #APIGroups #Kubeconfig #devopstools #devopscommunity #devopslearning
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🚀 Excited to kick off Day 44 of our DevOps-K8s exploration! 🔍 Understanding Helm Chart Structure: Helm charts organize Kubernetes application deployments into manageable, reusable packages. The file structure includes: 1️⃣ Chart.yaml: Metadata about the chart, such as name, version, and description. 2️⃣ values.yaml: Default configuration values for the chart. 3️⃣ templates/: Templates for Kubernetes resources (Deployment, Service, etc.). 4️⃣ charts/: Subcharts dependencies. 5️⃣ .helmignore: Patterns to ignore during packaging. 6️⃣ README.md: Instructions and documentation. 7️⃣ LICENSE: Optionally, a license file. 📋 Decoding Chart.yaml: apiVersion: v2 name: my-chart version: 1.0.0 description: A Helm chart for deploying my application. keywords: - kubernetes - helm - deployment maintainers: - name: The maintainers name (required for each maintainer) email: The maintainers email (optional for each maintainer) url: A URL for the maintainer (optional for each maintainer) sources: - https: //github.com/ example/my-chart dependencies: - name: mysql version: 1.x.x repository: https://example.com/charts 🔍 Key Components: - apiVersion: Specifies the version of the chart API being used. - name: Name of the chart. - version: Version of the chart, following semantic versioning. - description: Brief description of the chart's purpose. - keywords: Keywords for searching and categorizing the chart. - maintainers: Contact information for maintainers. - sources: URLs to the source code or project page. - dependencies: List of dependencies, including their name, version, and repository. Understanding Chart.yaml is crucial for orchestrating smooth deployments with Helm charts, ensuring clarity, version control, and collaboration throughout the development lifecycle. 🌟 #Kubernetes #DevOps #HelmCharts #CloudNative #devopstools #devopscommunity #devopslearning
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🚀 Excited to kick off Day 29 of our DevOps-K8s exploration! 🌟 Let's discuss about Kubernetes Namespaces! 🔍 Understanding Namespaces: Namespaces act as a virtual cluster within a Kubernetes environment. They offer a scope for resources, ensuring that objects like pods, services, and deployments are isolated and organized. In other words, Namespaces are a powerful tool for organizing and managing cluster resources. They provide a logical separation within a cluster, allowing teams to work independently while sharing the same underlying infrastructure. 💡 Practical Applications: 1. Environment Segmentation: Create separate namespaces for development, staging, and production environments. 2. Access Control: Implement fine-grained access control policies using RBAC to restrict permissions within namespaces. 3. Resource Management: Set resource quotas and limits to prevent one namespace from consuming all cluster resources. 4. Third-party Integration: Many Kubernetes tools and plugins support namespace-level configurations, enhancing manageability and security. 💠 Essential Kubernetes Commands: • kubectl create namespace <namespace-name>: Create a new namespace. • kubectl get namespaces: List all namespaces within the cluster. • kubectl describe namespace <namespace-name>: Retrieve detailed information about a specific namespace. • kubectl delete namespace <namespace-name>: Delete a namespace and its associated resources. • kubectl run nginx --image=nginx -n dev : Deploy objects in a namespace. Unlock the potential of Kubernetes Namespaces for enhanced resource management and collaboration! #Kubernetes #Namespaces #DevOps #CloudNative #ContainerOrchestration #k8s #devopstools #devopscommunity #devopslearning
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Diving into Kubernetes with Minikube! As part of my journey into container orchestration, I recently explored Kubernetes using Minikube. 📦🔧 Here’s a quick overview of what I accomplished: Set Up the Environment: Installed kubectl and Minikube, and started a local Kubernetes cluster. Managed Pods: Created and managed an Nginx Pod, including viewing logs and deleting it. Explored Advanced Features: SSHed into Minikube, checked cluster status, and performed cleanup operations. This hands-on experience has been incredibly enriching, reinforcing my understanding of Kubernetes' core concepts and functionalities. 🛠️ Key Takeaways: Importance of structured workspace for managing Kubernetes files. Practical experience in creating, managing, and troubleshooting Pods. Understanding Minikube's role in simplifying local Kubernetes setup. Excited to delve deeper into Kubernetes and container orchestration! 🌐💡 If you're also exploring Kubernetes, let's connect and share insights! 🚀💬 #Kubernetes #Minikube #DevOps #ContainerOrchestration #LearningJourney
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🚀 Excited to kick off Day 43 of our DevOps-K8s exploration! Ever wondered how to streamline your Kubernetes deployments? Meet Helm! ➡ What is Helm? Helm is the go-to package manager for Kubernetes, simplifying the deployment and management of applications with its powerful templating and versioning capabilities. 💠Installation Steps: 1. Download Helm Binary: - Visit Helm's GitHub releases page and download the binary for your operating system. 2. Install Helm: - Unpack the Helm binary and move it to your desired location. - Verify the installation with `helm version` to ensure everything is set up correctly. 💠Configuration Steps: 1. Initialize Helm: - Run `helm init` to initialize Helm on your Kubernetes cluster. 2. Add Repositories: - Use `helm repo add <name> <URL>` to add repositories from where Helm can fetch charts. 3. Search for Charts: - Discover available charts with `helm search repo <keyword>` and find the one that fits your needs. 4. Customize Charts: - Modify the `values.yaml` file to customize chart configurations according to your application requirements. 💠Deployment Commands: 1. Install a Chart: - Deploy your application using a specific chart with `helm install <release-name> <chart-name>`. 2. Check Deployment Status: - Monitor the deployment status using `helm status <release-name>` to ensure everything is running smoothly. 3. Upgrade Application: - Update your application to a new version with `helm upgrade <release-name> <chart-name>`. 4. Rollback Changes: - Roll back to a previous version if needed with `helm rollback <release-name>`. 🔸Empower your Kubernetes journey with Helm's simplicity and efficiency! #Kubernetes #Helm #DevOps #DeploymentManagement #CloudNative #devopstools #devopscommunity #devopslearning
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Day 28_DevOps Dynamo: 115 Days to Mastery i was looking at Docker Vs. Kubernetes It’s common to see Docker and Kubernetes mentioned together, leading to some confusion. While they are related, though they serve different purposes in the world of containerized applications. But i found out that it's Complementary, not competitive Docker and Kubernetes together form a powerful synergy for deploying applications. While Docker encapsulates the application’s environment, Kubernetes intelligently manages the containers across a fleet of machines. Docker and Kubernetes are not competitors; they are complementary technologies that work together to streamline the development and deployment of applications. Kubernetes can orchestrate not only Docker containers but also containers from other runtimes, showcasing its versatility. Complementary, not competitive Docker and Kubernetes together form a powerful synergy for deploying applications. While Docker encapsulates the application’s environment, Kubernetes intelligently manages the containers across a fleet of machines. Docker and Kubernetes are not competitors; they are complementary technologies that work together to streamline the development and deployment of applications. Kubernetes can orchestrate not only Docker containers but also containers from other runtimes, showcasing its versatility. Let's get it #Olacode #Git #pipelines #DevOps #DevOpsDynamo #115DaysToMastery #TechSkills #CareerDevelopment #LearningJourney #DevOpsEngineer #TechCommunity #OlatechCo
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🚀 Master Kubernetes Logging with kubectl 📊 🔍 Are you ready to take your Kubernetes log management skills to the next level? I've just published a blog post that dives deep into kubectl and how to make the most out of it for real-time log monitoring in Kubernetes. 💡 What you'll learn: ✅ The fundamentals of Kubernetes logs ✅ Step-by-step guide to tail logs using kubectl ✅ Commands to filter, retrieve, and monitor logs effectively ✅ Best practices for seamless log management ✅ How centralized logging solutions can enhance your setup Whether you’re troubleshooting critical issues or monitoring applications in real time, mastering log management is essential for performance and stability. #Kubernetes #DevOps #CloudComputing #LogManagement #kubectl #Containerization
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I'm thrilled to share my latest article on Medium (Brefing on Kubernetes)🌐: https://lnkd.in/ee2YVXy7 In this post, I break down the fundamentals of Kubernetes, making it easier for beginners to understand and get started: - What is Kubernetes? - Key concepts like Clusters, Nodes, Pods, Services, and Deployments - Essential kubectl commands for managing Kubernetes - A practical step-by-step exercise using Minikube to create and manage a demo application If you're interested in learning how to efficiently deploy, scale, and manage containerized applications, this article is for you. Dive in and start mastering Kubernetes today! 💡 #Kubernetes #DevOps #CloudComputing #Containerization #TechLearning #Minikube #K8s #DevOpsCommunity
Briefing on Kubernetes
medium.com
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𝐄𝐱𝐩𝐥𝐨𝐫𝐢𝐧𝐠 𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 𝐚𝐧𝐝 𝐇𝐚𝐧𝐝𝐬-𝐎𝐧 𝐈𝐧𝐬𝐢𝐠𝐡𝐭𝐬! Today’s learning from Saiyam Pathak Kubesimplify ’s Kubernetes Bootcamp was packed with exciting concepts and hands-on exercises. Let me share what I explored: ● 𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 We took a deep dive into Kubernetes’ inner workings, answering the classic question: What happens under the hood when you run kubectl run nginx --image=nginx? It’s amazing to see how the control plane components collaborate to make it all happen. ● 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐞 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭 Learned how to create and manage CSRs (Certificate Signing Requests) for secure Kubernetes communication: •Generate keys and CSR using OpenSSL. •Sign them using Kubernetes CA and approve with kubectl. •Extract the signed certificate for usage ● 𝐒𝐞𝐭𝐭𝐢𝐧𝐠 𝐔𝐩 𝐊𝐮𝐛𝐞𝐂𝐨𝐧𝐟𝐢𝐠 Configured KubeConfig for a new user and context. •Explored how to merge multiple KubeConfig files using KUBECONFIG for seamless multi-cluster management. ● 𝐖𝐨𝐫𝐤𝐢𝐧𝐠 𝐰𝐢𝐭𝐡 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭𝐬 Created deployment manifests (deploy.json) directly from commands like kubectl create and kubectl run. Tested out ServiceAccounts for API access, generated tokens, and sent curl requests to interact with Kubernetes resources like Deployments and Pods. ● 𝐊𝐞𝐲 𝐓𝐚𝐤𝐞𝐚𝐰𝐚𝐲 •Kubernetes is not just about running kubectl commands; it’s about understanding the intricate web of configurations, permissions, and API calls that make it so powerful and flexible. •If you’re diving into Kubernetes, I highly recommend rolling up your sleeves and experimenting with configurations, RBAC, and API access. The more you explore, the clearer the architecture becomes! Feel free to share your Kubernetes tips or ask questions—let’s learn together! #Kubernetes #CloudComputing #DevOps #RBAC #API #LearningPath #Kubesimplify
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🚀 Learning in Public: My Journey into Kubernetes Basics 🚀 This week, I dived deep into Kubernetes and explored some fascinating concepts. Kubernetes is powerful for container orchestration, and here’s a quick summary of what I learned: 🔹 Master Node: It controls the entire Kubernetes cluster, and I learned about the essential processes running here, such as: - API Server: The gateway for all REST commands to the cluster. - Controller Manager: Ensures the desired state of the cluster. - Scheduler: Allocates pods to nodes based on resource needs. - etcd: The key-value store that stores cluster data. 🔹 Worker Node: This is where the actual workload runs through pods. 🔹 Main Kubernetes Components: - Pods: The smallest unit in Kubernetes. - Services: Manages network access to the pods. - Ingress: Allows external access to services. - ConfigMap & Secrets: Manage configuration data and sensitive information. - Deployments, Stateful Sets, Daemon Sets: These handle how apps are deployed, scaled, and run across the cluster. - Volumes: Manage data persistence across restarts. 🔹 Kubernetes Configuration: Configuring Kubernetes involves managing clients, parts of the system like data, metadata, and specifications. 🔹 Minikube: I set up Minikube to practice Kubernetes locally, which is a great sandbox for learning the basics. I’m still learning, but I’m excited to keep deepening my knowledge in Kubernetes! 🌐🔧 #Kubernetes #LearningInPublic #DevOps #ContainerOrchestration #CloudNative
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🚀 Excited to kick off Day 37 of our DevOps-K8s exploration! Let's discuss about rolling updates & rollbacks in Kubernetes with a practical example! ➡ Performing seamless updates and rollbacks is vital for application reliability. Here’s a hands-on guide with Kubernetes commands: 1️⃣ Prepare your Deployment YAML: Ensure your Deployment YAML file reflects the desired changes. Let’s say we want to update our “nginx” deployment with a new image version. 2️⃣ Initiate the Update: Use kubectl set image to update the container image version. For instance: kubectl set image deployment/nginx nginx=nginx:1.19.10 3️⃣ Monitor Progress: Keep tabs on the rollout status: kubectl rollout status deployment/nginx 4️⃣ Verify the Update: Test your application to ensure the new version is functioning correctly. 5️⃣ Perform Rollbacks (if necessary): If issues arise, rollback to the previous version: kubectl rollout undo deployment/nginx 6️⃣ Monitor Rollback Progress: Check the status of the rollback: kubectl rollout status deployment/nginx 7️⃣ Confirm Rollback: Validate that the application functions as expected with the previous version. 8️⃣ Clean Up: Once stability is confirmed, tidy up any redundant resources. Let’s keep our Kubernetes environments running smoothly with effective updates and rollbacks! 💪 #Kubernetes #DevOps #RollingUpdate #Rollback #ContinuousDelivery #devopstools #devopscommunity #devopslearning
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