Last Week in Kubernetes Development: Week Ending June 9, 2024 -
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3 year Production support engineer with experience in Git | Docker | Kubernetes | Jenkins | Terraform | Linux | Ansible | AWS | VM | Certified - AZ-900 and AZ-104| Cloud Admin
Certainly! Crafting a post for LinkedIn about a Kubernetes vlog involves highlighting key points, making it engaging, and encouraging interaction. Here's a template you can use as a starting point: 🚀 Exciting News in the World of Kubernetes! 🚀 Hey LinkedIn fam! 👋 Just dropped a new vlog all about Kubernetes, the powerhouse of container orchestration! 🌐💡 In this vlog, I delve into the incredible capabilities of Kubernetes - from automating deployments to scaling applications seamlessly. 🚢✨ Whether you're a seasoned pro or just diving into the world of containers, there's something for everyone. 🔍 Topics Covered: Understanding the Control Plane and Data Plane Container Orchestration Magic 🎩✨ Real-world Applications and Use Cases Architecture of Kubernetes ... and so much more! 🤓 Dive deep into the world of Kubernetes with me and let's demystify the complexities together. 🤝💬 Share your thoughts, experiences, and burning questions in the comments. Let's spark some insightful discussions! 💬🚀 🔗 Don't forget to like, share, and subscribe for more tech goodness! 🤖🚀 #Kubernetes #ContainerOrchestration #TechTalk #Vlog #LinkedInLearning
Kubernetes Introduction
bipulkumar.hashnode.dev
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Jaeger Tracing on Kubernetes: A Comprehensive Guide to Providing Traceability in Your Application
https://armelnene.com/2023/11/16/jaeger-tracing-on-kubernetes-a-comprehensive-guide-to-providing-traceability-in-your-application/
https://armelnene.com
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35K+ LinkedIn Family | Cloud & DevOps Engineer | Kubernetes | AWS | Ansible | GIT | Terraform | Gitlab | Docker | Python | Argo CD | Artifactory
Hello LinkedIn family! 👋 Let's explore some key terminology that will empower you to navigate the container orchestration journey with confidence in world of Kubernetes 🛠️ 💠 Pods 🌱: The fundamental unit of deployment in Kubernetes. Think of it as the smallest, deployable units that can hold one or multiple containers. 💠 Nodes 🖥️: These are the worker machines in a Kubernetes cluster, where containers are deployed. Each node runs the necessary services to manage containers. 💠 Kubelet 🤖: The agent that runs on each node, responsible for ensuring that the containers are running as expected. 💠 Control Plane 🎮: The brains behind the Kubernetes operation. It manages the entire cluster and makes decisions about when and where to deploy containers. 💠 Deployment 🚀: A resource object in Kubernetes that provides declarative updates to applications. It allows you to describe an application’s life cycle, scaling, and updates. 💠 Service 💼: An abstraction that defines a logical set of pods and a policy by which to access them. Services enable communication between different sets of pods. 💠 Namespace 🌐: A way to divide cluster resources between multiple users, teams, or projects. It helps in organizing and isolating resources within a cluster. 💠 ReplicaSet 👯: Ensures that a specified number of pod replicas are running at any given time. It helps in scaling the number of pods dynamically. 💠 Ingress 🚦: Manages external access to services within a cluster, typically handling things like SSL termination, routing, and load balancing. 💠 ConfigMap 🔧: A way to decouple configuration artifacts from image content, allowing you to deploy applications across different environments easily. Check out the more topics in the below screenshot.Feel free to share your favorite Kubernetes terminology or any tips you have for those just starting their Kubernetes journey! #Kubernetes #ContainerOrchestration #DevOpsJourney
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DevOps Engineer | AWS Certified Solutions Architect | DevOps Consultant | Driving Cloud Efficiency & Automation
🚀 DISCOVER THE SECRETS OF KUBERNETES: A DEEP DIVE INTO POD CREATION 🔍✨ Have you ever wondered 💭 what goes on behind the scenes when you create a pod in Kubernetes? 🚀 In my latest article, "Unveiling the Magic: How Kubernetes Creates Pods Behind the Scenes," I take you on a journey through the inner workings of #Kubernetes. From the initial #kubectl command to a fully running application, we explore each step with precision and clarity. 🛠️📦 Whether you're a #DevOps professional or just curious about #container orchestration, this article is packed with insights that will enhance your understanding of this powerful system. 💡🔑 Don't miss out on discovering how #Kubernetes ensures a robust and scalable environment for your applications. 🌐💪 Click the link to read more and dive deep into the fascinating world of Kubernetes! 🔗 Read the full article on Medium Feel free to like 👍, share 🔄, and comment 💬 on your thoughts. Let's connect 🤝 and discuss how we can leverage Kubernetes to its fullest potential! 🚀🌟 #Kubernetes #DevOps #CloudComputing #ContainerOrchestration #TechInsights #PodCreation #Microservices #CloudNative #ITInfrastructure #Technology #IT #TechCommunity #Innovation #DigitalTransformation #SystemDesign #SoftwareEngineering #ApplicationDevelopment #CloudArchitecture #OpenSource #TechTutorials #TechEducation #SoftwareDevelopment #TechTrends #Programming #SysAdmin #ITSupport #CloudSolutions #ITManagement #TechTalks #TechArticle
“Unveiling the Magic: How Kubernetes Creates Pods Behind the Scenes”
medium.com
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♻️ 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!
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One of the biggest buzzwords in tech is Kubernetes. Everyone seems to be using it, but few know how to use it. There are a number of patterns depending on how you're hosting it, who's accessing it, and what you're trying to monetize. I'd like to discuss the Controller pattern today, which has been used in a variety of different COTS (commercial off-the-shelf) tools. Kubernetes controllers are the backbone of managing application state within clusters. They ensure that the desired state matches the current state, continuously working to reconcile any discrepancies. They work by managing a specific resource type (one already provided by Kubernetes, like Pod). Built-in controllers, such as Job, Deployment, and StatefulSet, play a pivotal role in maintaining high availability, scalability, and fault tolerance. They automate tasks, handle failures, and manage resources, allowing for seamless operation of containerized applications. When a built-in controller isn't sufficient, an Operator pattern is used to extend them. One example is the Helm Controller from flux (https://lnkd.in/gck2cxnD). This operator watches the CRD (Custom Resource Definition) type `HelmChart` in Kubernetes, and runs various Helm operations against the KubeAPI to bring the system into alignment with the desired state (which is usually defined in a Git repo). Understanding Kubernetes controllers is essential for efficiently managing workloads and orchestrating container deployments. Their versatility empowers developers and operators to maintain system reliability and streamline application management in dynamic, cloud-native environments. #Kubernetes #ContainerOrchestration #DevOps #CloudNative #K8sControllers #ApplicationManagement
Helm Controller
fluxcd.io
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DevOps Engineer || SRE || Cloud Engineer || Infrastructure Engineer || Linux Platform Engineer || Kubernetes Administrator || AWS || Azure || Terraform || Docker
More reason why I love Kubernetes. It makes deploying applications in containers almost seamless. The level of control I feel maintaining self-managed Kubernetes clusters and running Kubectl commands is satisfying. Especially when you integrate tools like Elastic search, FileBeat and Kibana for logs and Prometheus and Grafana for observability.
♻️ 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!
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Container Orchestration: Docker vs. Kubernetes - A Comprehensive Comparison https://cstu.io/4535f4 #digitalmarketing #developer #webdesign
Container Orchestration: Docker vs. Kubernetes - A Comprehensive Comparison
dev.to
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Curious about how to streamline your Kubernetes deployments? Check out our latest post to discover how feature flags can help you dynamically update your deployment configuration without touching your YAML files! Read it here:
How to Use Feature Flags with Kubernetes | ConfigCat Blog
configcat.com
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DevOps Engineer | DevOps | Linux | Git-GitHub | Docker | Jenkins | Terraform | Kubernetes | AWS | Hashnode Blogger|
Kubernetes☁️ This is #day34 of the amazing #90daysofdevops challenge by Shubham Londhe. In this blog post, prepare for thrilling topics that will elevate your DevOps adventure! 📝TABLE OF CONTENT What are Namespaces and Services in k8s 📝Task 1: Create a Namespace for your Deployment command to create a Namespace Apply the updated deployment using the command & Check pods and deployment created Verify that the Namespace has been created by checking the status of the Namespaces in your cluster 📝Task 2: Read about Services, Load Balancing, and Networking in Kubernetes. #tws #trainwithshubham #devopstools #devopsculture #devops #90daysofdevops #docker #kubernetes #k8s #kubernetesarchitecture #minikube #namespace
Day - 34 : Working with Services in Kubernetes
sahilkamble.hashnode.dev
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