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CTHFM: Kubernetes
  • Welcome
  • Kubernetes Fundamentals
    • Kubernetes Components
      • Kubernetes Master Node
      • Worker Nodes
      • Pods
      • Service
      • ConfigMaps and Secrets
      • Namespaces
      • Deployments
      • ReplicaSets
      • Jobs and CronJobs
      • Horizontal Pod Autoscaler (HPA)
      • Kubernetes Ports and Protocols
    • Kubectl
      • Installation and Setup
      • Basic Kubectl
      • Working With Pods
      • Deployments and ReplicaSets
      • Services and Networking
      • ConfigMaps and Secrets
      • YAML Manifest Management
      • Debugging and Troubleshooting
      • Kubectl Scripting: Security
      • Customizing Kubectl
      • Security Best Practices
      • Common Issues
      • Reading YAML Files
    • MiniKube
      • Intro
      • Prerequisites
      • Installation MiniKube
      • Starting MiniKube
      • Deploy a Sample Application
      • Managing Kubernetes Resources
      • Configuring MiniKube
      • Persistent Storage in Minikube
      • Using Minikube for Local Development
      • Common Pitfalls
      • Best Practices
  • Kubernetes Logging
    • Kubernetes Logging Overview
    • Audit Logs
    • Node Logs
    • Pod Logs
    • Application Logs
    • Importance of Logging
    • Types of Logs
    • Collecting and Aggregating Logs
    • Monitoring and Alerting
    • Log Parsing and Enrichment
    • Security Considerations in Logging
    • Best Practices
    • Kubernetes Logging Architecture
  • Threat Hunting
    • Threat Hunting Introduction
    • What Makes Kubernetes Threat Hunting Unique
    • Threat Hunting Process
      • Hypothesis Generation
      • Investigation
      • Identification
      • Resolution & Follow Up
    • Pyramid of Pain
    • Threat Frameworks
      • MITRE Containers Matrix
        • MITRE Att&ck Concepts
        • MITRE Att&ck Data Sources
        • MITRE ATT&CK Mitigations
        • MITRE Att&ck Containers Matrix
      • Microsoft Threat for Kubernetes
    • Kubernetes Behavioral Analysis and Anomaly Detection
    • Threat Hunting Ideas
    • Threat Hunting Labs
  • Security Tools
    • Falco
      • Falco Overview
      • Falco's Architecture
      • Runtime Security Explained
      • Installation and Setup
      • Falco Rules
      • Tuning Falco Rules
      • Integrating Falco with Kubernetes
      • Detecting Common Threats with Falco
      • Integrating Falco with Other Security Tools
      • Automating Incident Response with Falco
      • Managing Falco Performance and Scalability
      • Updating and Maintaining Falco
      • Real-World Case Studies and Lessons Learned
      • Labs
        • Deploying Falco on a Kubernetes Cluster
        • Writing and Testing Custom Falco Rules
        • Integrating Falco with a SIEM System
        • Automating Responses to Falco Alerts
    • Open Policy Agent (OPA)
      • Introduction to Open Policy Agent (OPA)
      • Getting Started with OPA
      • Rego
      • Advanced Rego Concepts
      • Integrating OPA with Kubernetes
      • OPA Gatekeeper
      • Policy Enforcement in Microservices
      • OPA API Gateways
      • Introduction to CI/CD Pipelines and Policy Enforcement
      • External Data in OPA
      • Introduction to Decision Logging
      • OPA Performance Monitoring
      • OPA Implementation Best Practices
      • OPA Case Studies
      • OPA Ecosystem
    • Kube-Bench
    • Kube-Hunter
    • Trivy
    • Security Best Practices and Documentation
      • RBAC Good Practices
      • Official CVE Feed
      • Kubernetes Security Checklist
      • Securing a Cluster
      • OWASP
  • Open Source Tools
    • Cloud Native Computing Foundation (CNCF)
      • Security Projects
  • Infrastructure as Code
    • Kubernetes and Terraform
      • Key Focus Areas for Threat Hunters
      • Infastructure As Code: Kubernetes
      • Infrastructure as Code (IaC) Basics
      • Infastructure As Code Essential Commands
      • Terraform for Container Orchestration
      • Network and Load Balancing
      • Secrets Management
      • State Management
      • CI/CD
      • Security Considerations
      • Monitoring and Logging
      • Scaling and High Availability
      • Backup and Disaster Recovery
    • Helm
      • What is Helm?
      • Helm Architecture
      • Write Helm Charts
      • Using Helm Charts
      • Customizing Helm Charts
      • Customizing Helm Charts
      • Building Your Own Helm Chart
      • Advanced Helm Chart Customization
      • Helm Repositories
      • Helm Best Practices
      • Helmfile and Continuous Integration
      • Managing Secrets with Helm and Helm Secrets
      • Troubleshooting and Debugging Helm
      • Production Deployments
      • Helm Case Studies
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On this page
  • Prerequisites
  • 1. System Requirements:
  • 2. Virtualization Support:
  • 3. Installing Virtualization Software (Hypervisor):
  • 4. Installing kubectl:
  • 5. Installing a Container Runtime (Optional):
  • 6. Network Requirements:
  • 7. Configuring Your Environment:
  • Conclusion
  1. Kubernetes Fundamentals
  2. MiniKube

Prerequisites

Prerequisites

Before you can start using Minikube, there are a few prerequisites that need to be met. These prerequisites ensure that your system is ready to run a local Kubernetes cluster efficiently and without issues. In this lesson, we will cover the system requirements, necessary software, and configurations required for setting up Minikube.

1. System Requirements:

To run Minikube smoothly, your machine should meet the following minimum requirements:

  • Operating System:

    • Minikube supports Windows, macOS, and Linux. Ensure your OS is up to date with the latest patches and updates.

  • CPU:

    • A 64-bit processor is required. At least 2 CPU cores are recommended, but more cores will provide better performance, especially when running more complex workloads.

  • Memory:

    • A minimum of 2GB of RAM is required, but 4GB or more is recommended for better performance.

  • Disk Space:

    • At least 20GB of free disk space is recommended. This space will be used for the Minikube virtual machine, containers, and Kubernetes resources.

2. Virtualization Support:

Minikube requires virtualization to run the Kubernetes cluster inside a virtual machine or container. You need to ensure that your system supports virtualization and that it is enabled.

  • Windows:

    • Use Hyper-V or Docker as the virtualization provider.

    • Ensure that virtualization is enabled in the BIOS/UEFI settings.

    • If using Hyper-V, make sure it is enabled in the Windows Features settings.

  • macOS:

    • Use Docker or HyperKit as the virtualization provider.

    • Ensure virtualization is enabled on your machine. Most modern Macs have virtualization support by default.

  • Linux:

    • Use KVM (Kernel-based Virtual Machine), Docker, or VirtualBox as the virtualization provider.

    • Ensure that the virtualization technology (e.g., Intel VT-x or AMD-V) is enabled in the BIOS/UEFI settings.

3. Installing Virtualization Software (Hypervisor):

Depending on your operating system, you will need to install a hypervisor (virtualization software) to run the Minikube virtual machine. Below are the recommended hypervisors for each OS:

  • Windows:

    • Hyper-V: Built into Windows 10 Pro, Enterprise, and Education editions. You can enable it through the "Windows Features" menu.

    • Docker for Windows: Comes with its own lightweight VM (Hyper-V or WSL2).

  • macOS:

    • Docker for Mac: Comes with HyperKit, a lightweight VM.

    • VirtualBox: An alternative to Docker and HyperKit, can be installed separately.

  • Linux:

    • KVM: A recommended choice for Linux users, providing high performance.

    • Docker: Can be used if you prefer running Minikube inside a container.

    • VirtualBox: An alternative to KVM, works across multiple distributions.

4. Installing kubectl:

kubectl is the command-line tool used to interact with your Kubernetes cluster. You’ll need to install kubectl to manage the resources within your Minikube cluster.

  • Installation on Windows, macOS, and Linux:

    • Follow the official Kubernetes documentation to download and install kubectl for your operating system.

    • Verify the installation by running kubectl version --client in your terminal or command prompt.

5. Installing a Container Runtime (Optional):

While Minikube typically installs its own container runtime, you may want to install Docker if you prefer to manage the container runtime yourself.

  • Docker Installation:

    • Install Docker Desktop for Windows or macOS, or Docker Engine for Linux.

    • Ensure that Docker is running before you start Minikube.

6. Network Requirements:

  • Internet Connection:

    • While Minikube can run offline after the initial setup, an internet connection is required to download the necessary images and updates during installation.

  • Firewall and Security Software:

    • Ensure that your firewall or security software allows the Minikube VM or container to communicate with the internet and with your local machine. You may need to create exceptions for Minikube, Kubernetes, and Docker.

7. Configuring Your Environment:

Finally, ensure that your environment is properly configured:

  • PATH Environment Variable:

    • Add kubectl, Minikube, and any other necessary executables to your system's PATH. This allows you to run these tools from any directory in your terminal or command prompt.

  • Virtualization Settings:

    • Double-check that virtualization is enabled in your system's BIOS/UEFI settings.

Conclusion

Once you've met all these prerequisites, your system will be ready for the Minikube installation. In the next lesson, we'll walk through the process of installing Minikube on different operating systems and getting your first local Kubernetes cluster up and running.

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Last updated 7 months ago