K8 Mate (Open Source)’s Post

Hello Engineers! 🚀 Excited to share my latest post on LinkedIn! Dive into the world of setting up Grafana and Prometheus on the Docker platform. Learn how to monitor Docker containers effortlessly with cAdvisor. Let's empower our infrastructure together! Check it out and let me know your thoughts! #DevOps #Grafana #Prometheus #Docker #cAdvisor #kubernetes

A Guided Tour of RuntimeHub: Visualizing Program Execution in Real Time

13 Kubernetes Tools You Should Know in 2024 1.ArgoCd 2. Helm 3. Customize 4. Prometheus 5. Istio 6. Tekton 7. Flux 8. Skaffold 9. Kubevela 10. Crossplane 11. Kube-bench 12. Kubernetes External Secrets 13. Octant These tools offer a broader view of the Kubernetes tooling landscape in 2024.  From continuous integration and delivery to application deployment and infrastructure management, these tools are designed to cater to a wide range of needs within the Kubernetes ecosystem, empowering teams to build, deploy, and manage their applications and infrastructure more effectively.  Enjoy and feel free to comment and suggest more tools!

kubeadm vs minikube Kubeadm and Minikube are both tools used in the Kubernetes ecosystem, but they serve different purposes and are used in different scenarios. Here's a comparison: 1. Purpose Kubeadm: A tool designed to bootstrap a Kubernetes cluster easily and reliably. Primarily used in production-like environments. Focused on cluster lifecycle management (initiation, joining nodes, upgrades, etc.). Minikube: A lightweight tool to run a single-node Kubernetes cluster locally. Intended for development and testing. Simplifies setup by bundling all necessary dependencies in a single VM or containerized environment.

understanding the core concepts of Kubernetes, including the Control Plane and Node Plane, is crucial for anyone diving into container orchestration : 1- Control Plane: The Control Plane, also known as the Master Node, is responsible for managing the Kubernetes cluster. It is where the central coordination and decision-making occur. Components of the Control Plane include: - API Server: Acts as the front end for Kubernetes, handling all operations within the cluster. - Scheduler: Assigns Pods to nodes based on resource availability and other constraints. - Controller Manager: Watches the state of the cluster via the API server and works to ensure that the desired state matches the actual state. - etcd: Consistent and highly-available key-value store used as Kubernetes' backing store for all cluster data. 2- Node Plane: The Node Plane consists of all the worker nodes in the cluster. Each node runs services necessary to manage the networking and running of Pods. Components of the Node Plane include: - Kubelet: An agent that runs on each node and is responsible for maintaining the state of Pods, ensuring they are running and healthy. - Container Runtime: Software responsible for running containers, such as Docker. - Kube Proxy: Maintains network rules on nodes, enabling communication between Pods across the cluster. By understanding the roles and responsibilities of these two planes, users can better grasp how Kubernetes manages containerized applications across a distributed environment, ensuring scalability, reliability, and flexibility.

How to deploy Portainer inside a Kubernetes environment...!!! Portainer simplifies container management in Kubernetes by providing a user-friendly graphical interface. Without Portainer, managing containers often involves complex command-line tools. Portainer offers a visual alternative, allowing you to: View and manage running containers, including starting, stopping, restarting, and scaling them. Inspect container logs and access container shells. Manage container images, enabling effortless uploads, downloads, and deletions. Create and manage Kubernetes networks and volumes. Gain insights into your container environment through resource usage statistics. Portainer essentially acts as a central hub for overseeing and interacting with your containerized applications within Kubernetes. https://lnkd.in/e92jEcdK

Pod Power: Liberating Kubernetes Users from Container Resource Micromanagement   🎯 Key Innovations:   - Introduction of pod-level resource specifications, allowing users to define resource requests and limits at the pod level.   - Enhanced flexibility in resource allocation among multiple containers within a pod, improving resource utilization.   - Focus on simplifying resource management as Kubernetes transitions from container-level to pod-level controls.   💡 Notable Features:   - Pod-Level Requests and Limits: Users can set uniform requests and limits for all containers, simplifying configuration.   - Resource Sharing: Containers can share unused resources dynamically within the pod.   - Enhanced Scheduler Logic: The scheduling mechanism now directly uses pod-level specifications for resource allocation.   🛠️ Perfect for:   - DevOps engineers managing Kubernetes clusters.   - Application developers deploying multi-container workloads.   - Teams implementing AI/ML applications that require dynamic resource allocation.   ⚡️ Impact:   - Improved resource utilization, leading to potential cost savings and enhanced performance.   - Reduced complexity in managing resource allocations, making it easier for users to configure workloads.   🔍 Preview of the Talk:   Dixita Narang and Peter Hunt explore the challenges of managing container resources in Kubernetes. They introduce the innovative pod-level resource management feature that simplifies the process and allows for dynamic resource sharing among containers. Key themes include the transition from individual container management to holistic pod-level approaches, making it easier for developers and operators to optimize workloads and save costs.  Watch the full session here: https://lnkd.in/gvRvHc7B

Convert Kubernetes manifests to HELM Chart. Managing Kubernetes manifests can be overwhelming as your applications scale. By using Helm, you can simplify the process and gain better control over your deployments. https://lnkd.in/d4edk2zB

AI is most certainly at the top of just about everyone's minds these days. Check out this insightful post from my colleague Anshul Behl on #ansible playbook generation with Ansible Lightspeed with IBM watsonx Code Assistant, which is part of the latest AI innovation from IBM and Red Hat!!

Check out Anshul Behl's new YouTube video below! A nice tour of Ansible Lightspeed: #generativeai #lightspeed #genai #ai #promptengineering #ansible #redhat