Selvamani Thangamuthu’s Post

Pod: The smallest deployable unit in Kubernetes, representing a single instance of a running process in your cluster. Namespace: A way to divide cluster resources between multiple users (via resource quota) or environments (e.g., dev, test, prod). Service: An abstraction that defines a logical set of Pods and a policy by which to access them (e.g., load balancing, service discovery). Ingress: Manages external access to services in a cluster, typically HTTP, and can provide load balancing, SSL termination, and name-based virtual hosting. Volume: Allows data to persist beyond the lifetime of a Pod, ensuring that data is not lost when a Pod restarts. Secrets and ConfigMaps: Resources for storing sensitive information or configuration data, which can be mounted into Pods as files or used as environment variables. Horizontal Pod Autoscaler (HPA): Automatically scales the number of Pods in a replication controller, deployment, or replica set based on observed CPU utilization or other custom metrics. Kubectl: The command-line tool used to interact with Kubernetes clusters, allowing you to deploy applications, inspect and manage cluster resources, and view logs. Kubernetes Dashboard: A web-based user interface for Kubernetes clusters, providing a visual representation of the cluster's resources and their status. StatefulSet: Ensures stable, unique network identifiers and persistent storage for stateful applications. Deployment: Manages the rollout and updates of replicated applications, ensuring availability and scalability. DaemonSet: Ensures a copy of a pod is running on all (or a subset of) nodes, useful for cluster-wide tasks like logging or monitoring. ClusterIP: Provides internal-only connectivity to services within the cluster, ideal for inter-service communication. NodePort: Exposes a service on a static port on each node's IP, allowing external access to the service. LoadBalancer: Automatically provisions an external load balancer to expose a service to the internet. add this tooUnderstanding these concepts is essential for efficient Kubernetes cluster management and application deployment. 💡 #Kubernetes #DevOps #CloudComputing#Happy learning.

Mastering Kubernetes: Key Terminologies You Should Know Kubernetes is at the forefront of modern cloud-native solutions, and understanding the key terminologies is essential for navigating this powerful platform. Here are some must-know Kubernetes concepts that every professional should be familiar with: 1️⃣ Pod – The smallest and simplest Kubernetes object. It represents a single instance of a running process in your cluster. 2️⃣ Node – A worker machine (virtual or physical) in a Kubernetes cluster. 3️⃣ Cluster – A set of nodes that run containerized applications managed by Kubernetes. 4️⃣ Namespace – A way to divide cluster resources between multiple users or applications. 5️⃣ Deployment – A higher-level object that ensures a specific number of pod replicas are running at any given time. 6️⃣ Service – Defines a logical set of pods and a policy by which to access them. 7️⃣ ConfigMap – Stores configuration data that other objects like pods can consume. 8️⃣ Ingress – Manages external access to services, typically HTTP. With a solid grasp of these core concepts, you can better design, deploy, and manage your applications in Kubernetes environments. #Kubernetes #CloudNative #DevOps #ContainerOrchestration #Microservices #ITInfrastructure

🌟 𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬 𝐏𝐨𝐝 𝐒𝐜𝐡𝐞𝐝𝐮𝐥𝐢𝐧𝐠 🌟 Ever wonder how Kubernetes decides where your pods land in the cluster? 🤔 Spoiler alert: 𝐲𝐨𝐮 𝐜𝐚𝐧 𝐜𝐨𝐧𝐭𝐫𝐨𝐥 𝐢𝐭! 💡 With the right scheduling techniques, you can optimise performance, reliability, and resource usage like never before. Here’s how: 🔑 𝐀𝐟𝐟𝐢𝐧𝐢𝐭𝐲 & 𝐀𝐧𝐭𝐢-𝐀𝐟𝐟𝐢𝐧𝐢𝐭𝐲: 𝐒𝐡𝐚𝐩𝐢𝐧𝐠 𝐏𝐨𝐝 𝐑𝐞𝐥𝐚𝐭𝐢𝐨𝐧𝐬𝐡𝐢𝐩𝐬 Think of these as Kubernetes’ “friend or foe” rules: • 𝐀𝐟𝐟𝐢𝐧𝐢𝐭𝐲: Want certain pods to hang out together? Ensure they're placed on the same node for lightning-fast communication and data locality. • 𝐀𝐧𝐭𝐢-𝐀𝐟𝐟𝐢𝐧𝐢𝐭𝐲: Need redundancy or to avoid resource competition? Keep critical pods far apart, so they don’t compete or fail together. 🔐 𝐓𝐚𝐢𝐧𝐭𝐬 & 𝐓𝐨𝐥𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐬: 𝐏𝐫𝐞𝐜𝐢𝐬𝐢𝐨𝐧 𝐒𝐜𝐡𝐞𝐝𝐮𝐥𝐢𝐧𝐠 • 𝐓𝐚𝐢𝐧𝐭𝐬: Ever want to make some nodes off-limits? Taints allow you to keep less important workloads away from nodes reserved for your high-priority applications. • 𝐓𝐨𝐥𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐬: But sometimes, a pod needs to get past the barriers. Tolerations are the secret key that lets certain pods schedule on tainted nodes — when it really matters. By mastering these pod scheduling techniques, you’ll unlock 𝐭𝐨𝐭𝐚𝐥 𝐜𝐨𝐧𝐭𝐫𝐨𝐥 over how Kubernetes distributes your workloads across your cluster. 🧩 Ready to take your cluster optimisation to the next level? 🚀 📣 What scheduling tricks have helped you optimise your kubernetes setup? Drop a comment below and let’s chat! 👇 #Kubernetes #K8s #DevOps #PodScheduling #CloudNative #TechTips #ClusterOptimisation

🚀 Day One: Kubernetes High-Level Overview 🌐 Kubernetes (K8s) consists of two types of nodes that are essential for managing containerized applications: 1️⃣ Worker Node: This is where the actual workloads (applications) run. 1) Kubelet: Responsible for creating and managing Pods (applications/containers) on the node, reporting status to the Kube-API-Server, and restarting unhealthy containers. 🔄 2) Kube-Proxy: Facilitates networking, allowing containers to communicate—even across nodes. 🔗 3) Container Runtime Engine: The software responsible for running the containers (e.g., Docker, ContainerD, Rocket). 🛠️ 2️⃣ Master Node: This is where the cluster management happens. 1) ETCD Cluster: A key-value store that holds all the data about the cluster. Think of it as the "memory" of Kubernetes. 📒 2) Kube-Controller: The brain of Kubernetes, performing most operations and ensuring the desired state of the cluster. 🧠 3) Kube-Scheduler: Decides which node should run a given Pod. 🎯 4) Kube-API-Server: Acts as the communication hub, connecting all components of the cluster. 🔌 💡 Quick Notes: Nodes can be virtual machines or physical servers. 🖥️ Pods are the smallest deployable units in Kubernetes, that contain an application. 🧩 Stay tuned for Day 2 as we dive deeper into the inner workings of Kubernetes! #Kubernetes #K8s #CloudNative #DevOps #Containers #TechInsights #KubernetesJourney Image Source from Kode Kloud

𝐖𝐚𝐧𝐭 𝐭𝐨 𝐦𝐚𝐧𝐚𝐠𝐞 𝐲𝐨𝐮𝐫 𝐬𝐭𝐚𝐭𝐞𝐟𝐮𝐥 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧.... 𝐖𝐞 𝐡𝐚𝐯𝐞 𝐬𝐭𝐚𝐭𝐞𝐟𝐮𝐥𝐬𝐞𝐭𝐬 𝐢𝐧 𝐤𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬 𝐭𝐡𝐚𝐭 𝐜𝐚𝐧 𝐡𝐞𝐥𝐩 𝐲𝐨𝐮 𝐭𝐨 𝐠𝐨 𝐰𝐢𝐭𝐡. 𝐖𝐞𝐥𝐜𝐨𝐦𝐞 𝐭𝐨 𝐤𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬 𝐫𝐞𝐬𝐨𝐮𝐫𝐜𝐞𝐬 𝐬𝐞𝐫𝐢𝐞𝐬 [11/20]. Today we will talk about statefulsets in kubernetes. You might wonder if we already have a deployment controller and if we attach PVC to it so deployments can handle the state of the application then why there is a requirement of statefulsets. So here is the answer... 𝐒𝐭𝐚𝐭𝐞𝐟𝐮𝐥𝐬𝐞𝐭𝐬 𝐢𝐧 𝐤𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬 𝐚𝐫𝐞 𝐧𝐞𝐜𝐞𝐬𝐬𝐚𝐫𝐲 𝐟𝐨𝐫 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐭𝐡𝐚𝐭 𝐫𝐞𝐪𝐮𝐢𝐫𝐞 𝐬𝐭𝐚𝐛𝐥𝐞 𝐚𝐧𝐝 𝐮𝐧𝐢𝐪𝐮𝐞 𝐧𝐞𝐭𝐰𝐨𝐫𝐤 𝐢𝐝𝐞𝐧𝐭𝐢𝐟𝐢𝐞𝐫𝐬, 𝐩𝐞𝐫𝐬𝐢𝐬𝐭𝐞𝐧𝐭 𝐬𝐭𝐨𝐫𝐚𝐠𝐞, 𝐚𝐧𝐝 𝐨𝐫𝐝𝐞𝐫𝐞𝐝 𝐝𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 𝐚𝐧𝐝 𝐬𝐜𝐚𝐥𝐢𝐧𝐠. Here are the key features provided by the statefulsets:- 1. 𝐒𝐭𝐚𝐛𝐥𝐞, 𝐮𝐧𝐢𝐪𝐮𝐞 𝐧𝐞𝐭𝐰𝐨𝐫𝐤 𝐢𝐝𝐞𝐧𝐭𝐢𝐟𝐢𝐞𝐫𝐬: StatefulSets assign a unique, stable network identity to each Pod (e.g., pod-0, pod-1, etc.). This ensures that each Pod can be consistently addressed, which is critical for stateful applications like databases. 2. 𝐒𝐭𝐚𝐛𝐥𝐞 𝐚𝐧𝐝 𝐩𝐞𝐫𝐬𝐢𝐬𝐭𝐞𝐧𝐭 𝐯𝐨𝐥𝐮𝐦𝐞: we can attach PVC to have persistent volume. 3. 𝐎𝐫𝐝𝐞𝐫𝐞𝐝, 𝐠𝐫𝐚𝐜𝐞𝐟𝐮𝐥 𝐝𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 𝐚𝐧𝐝 𝐬𝐜𝐚𝐥𝐢𝐧𝐠: Statefulsets ensure Pods are started, stopped, and scaled in a defined order. 4. 𝐎𝐫𝐝𝐞𝐫𝐞𝐝 𝐑𝐨𝐥𝐥𝐢𝐧𝐠 𝐔𝐩𝐝𝐚𝐭𝐞𝐬: When updating Pods managed by a StatefulSet, the updates are done in a controlled, ordered manner. This ensures that the update process respects the dependencies between Pods. follow Amol Shete for more such content😄 Happy learning.. Repost Helps 😌 #Kubernetes #DevOps #CloudComputing #StatefulSets #Deployments #ContainerOrchestration #Microservices #CloudNative #ITInfrastructure #TechTips #SoftwareEngineering #DataManagement #TechInsights #ITStrategy

EP #1 🚀  𝐆𝐞𝐭𝐭𝐢𝐧𝐠 𝐒𝐭𝐚𝐫𝐭𝐞𝐝 𝐰𝐢𝐭𝐡 𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬: 𝐓𝐡𝐞 𝐁𝐚𝐬𝐢𝐜𝐬! 🚀 Kubernetes, or K8s as we call it, is a powerful platform to manage containerized applications. Here, in this post will break down K8 into various essential components: 🔹 Containers at Scale 🐳: Kubernetes helps orchestrate your containers, allowing applications to run smoothly across multiple servers. 🔹 Pods 🛳️: The smallest deployable unit in K8s, a Pod usually contains one or more containers that share resources like storage and network. 🔹 Nodes & Clusters 🖥️🔗: Nodes are the worker machines (VMs or physical) where your containers run, and a cluster is a set of nodes managed by Kubernetes. 🔹 Services & Networking 🌐: Kubernetes automatically manages the network traffic between Pods and external users, using Services to expose applications. 🔹 Scaling & Self-Healing 🔄❤️:Kubernetes automatically scales up/down based on demand and restarts failed containers, ensuring reliability and efficiency. 🔹 Declarative Configuration 📜: With YAML files, you define the "desired state" of your applications, and Kubernetes makes it happen! 🔹 Secret Management & Security 🔐: Kubernetes securely manages sensitive data, like passwords and API keys, so you don’t have to worry about hard-coding them. Whether you're just starting with K8s or already managing applications at scale, Kubernetes brings a lot of power to modern software development! 👉 W𝐡a𝐭'𝐬 𝐲o𝐮r f𝐚v𝐨r𝐢t𝐞 𝐊8𝐬 𝐟e𝐚t𝐮r𝐞? L𝐞t m𝐞 𝐤n𝐨w i𝐧 𝐭h𝐞 𝐜o𝐦m𝐞n𝐭s! 👇 #Kubernetes #CloudComputing #DevOps #Containerization

What do you think about resource management in kubernetes, One of the very important questions people ask. It tricky and quite good to understand this early !! Well Let's dig in .. .. .. ⏰ 🚀 **Mastering Kubernetes Resource Management: Key Concepts** 🚀 Efficient resource management is essential to keeping a Kubernetes cluster running smoothly, especially as applications scale and demand increases. Here’s a quick dive into some foundational practices in Kubernetes for managing CPU and memory resources effectively. 1️⃣ **Resource Requests and Limits**     - Requests: The minimum resources a pod/container is guaranteed to have.   - Limits: The maximum resources it can consume to prevent overuse.   - Example: A pod can request 1 vCPU but be capped at 3 vCPUs. 2️⃣ **Scheduler and Resource Allocation**     - The Kubernetes scheduler places pods on nodes based on available resources. If a node lacks sufficient resources, the pod enters a pending state.   - Use the `kubectl describe pod` command to investigate insufficient resource errors. 3️⃣ **Understanding CPU and Memory Units**     - 1 CPU ≈ 1 vCPU in AWS, or 1 core in GCP/Azure.   - CPU and memory can be specified in units like Gi (gibibyte) vs. G (gigabyte) to match exact needs. 4️⃣ **Scenarios to Consider**     - Without requests/limits: Pods can consume all node resources, affecting other workloads.   - With limits only: Kubernetes matches requests to limits.   - Requests + Limits: Each pod is guaranteed resources with defined boundaries. 5️⃣ **Limit Ranges & Resource Quotas**     - Limit Ranges: Set default resource requests/limits at the namespace level to enforce best practices.   - Resource Quotas: Define hard limits on total resource usage in a namespace. Implementing these practices ensures stability, fairness, and optimal resource utilization across Kubernetes clusters. 🌐 🔗 Have you used resource quotas or limit ranges in your clusters? Share your experiences! #Kubernetes #CloudComputing #DevOps #ResourceManagement #Containerization #CloudInfrastructure #K8's #Dockers #MachineLearning #Fun #Learning

Very well done summary / flow chart diagram for Kubernetes Deployment!

⁉️WHY WORK HARDER IF YOU CAN WORK SMARTER WITH K8S⁉️ 🤔 Kubernetes allows us to efficiently distribute workloads across all available resources while also optimizing infrastructure costs. Let's take a look at some key advantages: ❤️🩹Self-Healing: Think of K8s as your on-call doctor. It can automatically restart any containers that fail during deployment or terminate containers that do not respond to predefined health checks. If a node dies, Kubernetes will reschedule and replace the failed containers on other available nodes. 🔏Automated Secret Configuration & Management: Kubernetes can help you update and deploy secrets and application configurations without needing to rebuild your image or exposing secrets. 📈Horizontal Scaling: In Kubernetes, all deployed applications are known as microservices. These microservices are composed of hundreds containers, which are organized into even smaller units called pods. With a single command you can scale up or scale down containers. ◀️Automated Rollbacks and Rollouts: Kubernetes can gradually roll out updates and changes to your application or revert the changes. These are just a few of the key advantages of Kubernetes architecture. Share in the comments the advantages that you have came across using K8s. 👉🏾Follow me for tips and discussions on K8s. #DevOps #ContainerOrchestration #LinkedInLearning #Kubernetes #LearnK8s #CareerOpportunities #OpentoWork #LearningAndDevelopment