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This sounds interesting especially for those that want to migrate, but the beauty of Docker Swarm for us was usually that you can *stay* in the compose format as well as have a simple orchestrator that is easy enough to maintain. That being said, more options are always good.

🛠 Is the Docker Swarm Engine finally on a deprecation path? Compose to Kubernetes reaches experimental state. Kubernetes has been around for 10 years, and Docker Swarm is one of the few container orchestration solutions that coexists without being based on Kubernetes. A week ago, I noticed a new feature in the Docker Compose ecosystem: Compose Bridge. With Compose Bridge, Docker officially supports converting Compose manifests to Kubernetes by simply running: compose-bridge convert -f docker-compose.yaml Since Swarm deployments are also defined using Docker Compose files, this has led to speculation that Swarm might eventually transition to using Kubernetes as well. Documentation: https://lnkd.in/dxuSTDu7 Binaries: https://lnkd.in/dWWZwFbR What do you think about this development?

When you run kubectl get pods, kubectl communicates with the Kubernetes API server, which fetches data about the Pods from the etcd database and returns it to kubectl. The kubectl tool then formats the response and presents the information in a human-readable format. This process ensures that kubectl abstracts the complexity of interacting directly with Pods, APIs, and the underlying infrastructure, making it a simple yet powerful tool for managing Kubernetes resources. kubeconfig plays a critical role in specifying how kubectl interacts with the cluster. The API server is the central point for managing cluster resources. etcd stores the state of the Kubernetes cluster and is queried by the API server to retrieve resource information. kubectl formats and displays the output in a way that's easy for humans to understand. #devops #tutorial #kubectl #kubernetes #APIServer #etcd #tools #learner #devopstools #practice #k8s #kubeconfig #devops

Continuing my Kubernetes journey! 🎓 Today, I delved into taints, tolerations, and node affinity. These tools are key to controlling pod scheduling and enhancing cluster efficiency. Excited to see how they improve resource management in production environments! 🚀 #Kubernetes #TechJourney #LearningEveryday

▶️ Kubernetes Orchestration (What Makes CRI Special) While exploring the Kubernetes documentation, I came across a key component worth sharing: Here’s a typical flow in Kubernetes orchestration: kubectl --> Kubernetes API Server --> etcd --> Scheduler --> Kubelet -->CRI -->(Container Runtime)|Docker --> Containers (Pods) 💡 What is CRI? The Container Runtime Interface (CRI) acts as a bridge between the Kubelet and container runtimes like Docker, containerd, and others. Why is CRI important? The Kubelet interacts with gRPC-based CRI services to manage containers and pods on a Kubernetes worker node. This includes key services for ➖ Provisioning and managing pod sandboxes 🛠️ ➖ Starting, stopping, and removing containers 🛑 ➖ Handling container images 📦 This abstraction ensures Kubernetes remains flexible and extensible, enabling seamless integration with multiple runtime technologies. 🔖 Explore more: Kubernetes CRI https://lnkd.in/gDEA6d9H #Kubernetes #ContainerOrchestration #Containers #OpenSource #CloudNativeTechnology #TechInnovation #K8s #CloudComputing, #ITInfrastructure

Check out my new blog post on dev.to about Kubernetes Pods

📝 New article 👉 "Containers Orchestration and Kubernetes" A blog post to know what container orchestration means and an intro to Kubernetes' components. https://lnkd.in/eYhdmrtq

Bare Metal Kubernetes with kOps   🎯 Key Innovations:   - **Bare Metal Support for kOps:** Exploration of Kubernetes on bare metal using kOps, including architectural trade-offs and device management.   - **Community Collaboration:** Emphasis on gathering community insights for continuous development and support.   💡 Notable Features:   - **Flexible Architecture:** Discussion on node discovery, availability, and redundancy without relying on cloud services.   - **Device Management:** Strategies for managing resources like GPUs in bare metal environments.   🛠️ Perfect for:   - DevOps engineers   - Cloud-native architects   - Kubernetes enthusiasts and maintainers   - IT infrastructure managers   ⚡️ Impact:   - Enhancements in bare metal deployment practices.   - Increased community engagement to shape tooling and features for better performance in bare metal Kubernetes environments.   🔍 Preview of the Talk:   In this insightful session, Justin Santa Barbara from Google and Ciprian Hacman from Microsoft explore the unique challenges of deploying Kubernetes on bare metal using kOps. They discuss architectural considerations, community wisdom, and the importance of device management, especially for GPU resources. The talk invites participation from the audience, emphasizing collaborative learning and sharing success stories to improve kOps and its bare metal capabilities. Key insights include discussions on etcd clusters, node discovery issues, and local storage challenges, paving the way for future innovations. Don't miss the opportunity to learn from their experiences and participate in shaping the future of Kubernetes on bare metal. Watch the full session: https://lnkd.in/gGzAzmsP

This tutorial provides a guide to deploying Anything-LLM on Kubernetes and highlights solutions like iitsAI that address the challenges of using Anything-LLM in enterprise environments. More: https://lnkd.in/dhRJ3yGV