Deka GPU Documentations
  • Starter Guide
    • Introduction
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      • Project Type: SME
        • GPU Merdeka
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      • History Balance
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  • Deka GPU
    • Deka GPU: Kubernetes
      • Introduction
      • GPU Type
      • Dashboard
        • Check Status Kubernetes
        • Download Kube Config
        • Access Console
      • Workloads
        • Pods
          • Create New Pod
          • Access Console
          • Configuration Pod
          • Delete Pod
          • How to Create a New Pod use CLI
        • Deployments
          • Create New Deployment
          • Configuring Deployment
          • Delete of a Deployment
          • How to Create a New Deployment use CLI
        • DaemonSets
          • Create a New DaemonSet
          • Configuring a DaemonSet
          • Delete DaemonSet
      • Services
      • Storages
        • Storage Class
        • Persistent Volume Claims
          • Create a New Persistent Volume Claim
          • How to Create a New Persistent Volume Claim use CLI
    • Deka GPU: VMs
      • Operating System
      • GPU Type
      • Machine Type
      • Namespace Type
      • Storage Class
      • How to Create a Virtual Machine on Service Portal
      • How to Manually Create a Virtual Machine
        • Download Kube Config
        • Running Kube Config
        • Configuration file dv.yaml
        • Configuration file vm.yaml
        • Configuration file svc.yaml
      • Feature Overview of Virtual Machine
        • Detail a Virtual Machine
        • Open Console
        • Turn Off a VM Instance
        • Turn On a VM Instance
        • Restart a Virtual Machine
        • How to Access Console
        • Show YAML File
      • Delete a Virtual Machine
    • Deka GPU: Registry
      • Create Registry
      • Quota
      • Detail Registry
        • Summary
        • Repository
        • Logs
        • Labels
        • Tag Immutability
        • Member
        • Resize Storage Registry
      • Delete Registry
    • Deka GPU: Security
      • Deka Guard
        • Introduction
        • Create Guard to Deny All Ingress
        • Create Guard to Allow Ingress
        • Create Guard to Allow Ingress with port
        • Create Guard to Allow Ingress with IP/CIDR
        • Create Guard to Deny All Egress
        • Create Guard to Allow Egress
        • Create guard to Allow Egress with Port
        • Create Guard to Allow Egress with IP/CIDR
    • Deka GPU: Service
      • Ingress
        • Install Ingress nginx
        • Install Cert Manager
        • Create Cluster Issuer
        • Create Ingress with TLS
    • Deka GPU: Autoscaling
      • Basic Autoscaling
    • Deka GPU: Network
      • Deka VPC
    • Deka GPU: MLOps
      • Introduction
      • Notebook
      • Tensorboards
      • Volumes
      • Endpoints
        • Create Endpoint
        • Delete Endpoint
      • Experiments (AutoML)
        • Create Experiments (AutoML)
        • Create Experiments (AutoML) using Python SDK
        • Get Experiments Results
      • Experiments (KFP)
        • Create Experiment
      • Pipelines
      • Runs
        • Create Run
        • Delete Active Run
      • Recurring Runs
        • Create Recurring Run
        • Delete Recurring Runs
        • Home
      • Artifacts
      • Executions
      • Manage Contributors
  • Deka LLM
    • Introduction
    • Check Project Type
    • Create a New LLM
    • Detail Deka LLM
      • Overview Tab
      • Keys Tab
        • Create a New Key
        • Detail a Key
        • Edit a Key
        • Get a Secret Key
        • Delete a Key
      • Usage Tab
      • Top Up Coin
    • API Deka LLM
      • Model Management
      • Completions
      • Embedding
    • Delete Deka LLM
    • How to Create Simple Prompt with Deka LLM
      • Create Deka LLM
      • Get URL API Deka LLM
      • Get Secret Key
      • Access API Deka LLM using Postman
      • Get Model
      • Post Chat Completions
  • Deka Notebook
    • Introduction
    • Namespace Type
    • Create a New Notebook
    • Detail Deka Notebook
      • Configuration Deka Notebook
      • Start Deka Notebook Service
      • Stop Deka Notebook Service
      • Get Token
      • Login Deka Notebook
      • Logout Deka Notebook
    • Delete Deka Notebook
  • Reference
    • How to use kubeconfig on Linux
    • How to use kubeconfig on Windows
    • Kubernetes Commands for Enhancing Security
    • How to add GPU in Kubernetes
    • How to Add GPU in VM
      • Download kubeconfig
      • Install kubectl
      • Add GPU
      • Install Driver NVIDIA
    • RAPIDS
      • How to Setup RAPIDS
      • How to make Custom Image
    • How to push image with Docker
    • Deployment LLaMA 3.1 70B with VLLM on Kubernetes
      • Getting the Hugging Face API Key
      • Requesting Access to the LLaMA Model
      • Connect Kubernetes on Computer
      • Create Namespace
      • Create PersistentVolumeClaim (PVC)
      • Create Secret for Hugging Face Token
      • Create Deployment
      • Create Service
      • Verify Deployment
      • Accessing the LLaMA Service
      • Troubleshooting
    • How to Get an API Key on NGC
    • Deployment LLM with Deka GPU + NIM
    • How to Upload and Download on FTP Web
  • Troubleshooting
    • Reinstall Driver NVIDIA on Linux
    • NVIDIA Driver Not Detected After Upgrade Kernel
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  1. Deka GPU
  2. Deka GPU: Kubernetes

Introduction

PreviousDeka GPU: KubernetesNextGPU Type

Last updated 16 days ago

Kubernetes is one of the services offered by the Deka GPU Service Portal, which is used to automate the deployment, management, scaling, and operation of containerized applications. Containers are a virtualization technology that allows applications to run in isolated environments while remaining resource-efficient. Kubernetes ensures container applications operate stably, scale effectively, and recover from failures. On the Kubernetes platform provided by the Deka GPU Service Portal, several advantages include:

  1. Automated Management

    Kubernetes manages the lifecycle of containers, including deployment, scheduling, updating, and adjusting the number of pods based on application workload.

  2. Self-Healing

    Kubernetes can automatically restart failed containers, replace them, shut down and reschedule unresponsive pods, and terminate containers that fail health checks.

  3. Load Balancing and Service Discovery

    Kubernetes provides automatic service discovery and load balancing for applications. This ensures network traffic is evenly distributed across all healthy pods, maintaining application availability.

  4. Rollout and Rollback Management

    Kubernetes simplifies application updates with rolling updates and rollbacks. It allows updates to be performed without significant downtime and ensures that rollback processes can be executed quickly in case of issues to restore the application's previous state.

Dashboard Kubernetes

On the Kubernetes page, there are four menus available in the Kubernetes module:

  1. Dashboard Menu, this menu displays a summary of the overall status of the Kubernetes cluster. You can view general information such as the number of Pods, Deployments, Daemon Sets, and Stateful Sets that are ready to use.

  2. Workloads Menu, this menu is used to manage and monitor the availability and scalability of applications running within the Kubernetes cluster. The Workloads page includes Pods, Deployments, DaemonSets, and StatefulSets.

  3. Services Menu, to make it easier for you to monitor, manage, and configure services within a Kubernetes cluster.

  4. Storages Menu, is used to manage datastores on pods. There are two types of storage available: Persistent Volumes (PV) and Persistent Volume Claims (PVC).

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