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Excited to share my latest Medium article: Streamline Kubernetes Production Logging with Helm: A Step-by-Step Guide 📝 In today's fast-paced Kubernetes environments, effective logging is a must-have for ensuring smooth operations and swift troubleshooting. I've put together a comprehensive guide on setting up logging using Helm, the Kubernetes package manager. In this article, you'll find: ✅ Step-by-step instructions for installing logging stack components ✅ Clear configuration steps for Fluentd to collect and ship logs ✅ Deployment procedures for seamless integration with Elasticsearch and Kibana ✅ Verification techniques to ensure logging is set up correctly ✅ Accessing logs through Kibana's intuitive interface for visualization Whether you're a seasoned Kubernetes pro or just diving into the world of container orchestration, this guide will empower you to efficiently manage logging in your production environment. Feel free to share with your network and let me know your thoughts in the comments! #Kubernetes #Logging #Helm #DevOps #Tech #MediumArticle #LinkedInPost

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.

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

How we automated Vianet's workflow with GitOps!

Getting Started with Kubernetes: A Beginner’s Guide to Understanding and Managing Containerized Applications In this article, we will explore the Kubernetes. Let’s Dive into Kubernetes Basics! What is Kubernetes? Kubernetes, often abbreviated as K8s, is an open-source platform for automating deployment, scaling, and management of containerized applications. Let’s walk through the basics of Kubernetes, starting with its architecture and key concepts. * Table of Contents 1. Kubernetes Architecture 2. Core Kubernetes Components 3. Basic Kubernetes Concepts 4. Working with Kubernetes 5. Deploying Your First Application 6. Scaling and Managing Applications 7. Monitoring and Troubleshooting 8. Conclusion

# 1 Introduction: Kubernetes is a container orchestration platform.   Containers are in ephemeral in nature. Ephemeral means nothing but short living in nature. Problems with docker container are: Single host nature, auto-scaling, auto-healing, not have enterprise level support.   Kubernetes solves these problems: By default Kubernetes is a cluster, basically cluster is a group of nodes. Kubernetes in production use, cluster installed in Master/Control plane.   Kubernetes is depends on yaml file. In replication controller.yaml file/deployment.yaml file increases replicas from 1 to 10. Kubernetes also supports horizontal pods auto-scaler. If load is going to reach maximum threshold level, it spins up the containers.   Kubernetes has auto-healing feature, using this feature when ever container is going down or even before goes down, kubernetes will start new container.   Kubernetes supports enterprise level container orchestration platform.

♻️ How do you roll back a failed deployment in Kubernetes? And (most importantly), should you roll back or roll forward? Kubectl has a convenient command named kubectl rollout undo that lets you revert a rolling update. In this article, Gergely Riskó explains how that works and reveals how Deployments, Replica Sets, and Pods are connected. You can read it here: https://lnkd.in/gP8gTis3 My takeaways from this article: - Deployments don't create Pods, ReplicaSets do. - Deployments and ReplicaSet YAML looks almost the same. That's because the deployment is a superset object. - Deployments can do rolling updates by orchestrating ReplicaSets. - If you don't care about zero downtime, you can create ReplicaSets directly. - It's a good idea to roll forward and keep the cluster state in sync with the code in version control (e.g. GitOps :). You can find the full article here: https://lnkd.in/gP8gTis3 Have you ever used kubectl rollout (or should you)? let me know in the comments!

📣Introducing one-step observability for Kubernetes, which automatically instruments APM with Kubernetes deployment so that teams no longer need additional configurations. New Relic connects Kubernetes, applications, and all telemetry across the stack for faster incident resolution and maximized performance. We just made it a whole lot easier for developers to manage Kubernetes workloads faster and are addressing the monitoring challenges developers face in managing dynamic Kubernetes environments. Get started:

📣Introducing one-step observability for Kubernetes, which automatically instruments APM with Kubernetes deployment so that teams no longer need additional configurations. New Relic connects Kubernetes, applications, and all telemetry across the stack for faster incident resolution and maximized performance. We just made it a whole lot easier for developers to manage Kubernetes workloads faster and are addressing the monitoring challenges developers face in managing dynamic Kubernetes environments. Get started: