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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
  • Overview:
  • 1. Infrastructure as Code (IaC) Basics:
  • 2. Terraform for Container Orchestration:
  • 3. Networking and Load Balancing:
  • 4. Secrets Management and Configuration:
  • 5. State Management and Drift Detection:
  • 6. CI/CD Integration:
  • 7. Security Considerations:
  • 8. Monitoring and Logging:
  • 9. Scaling and High Availability:
  • 10. Backup and Disaster Recovery:
  • Summary
  1. Infrastructure as Code
  2. Kubernetes and Terraform

Infastructure As Code: Kubernetes

Overview:

Environments that have containers deployed require an understanding of Terraform's role in managing this environment, here are the key concepts and areas you should be familiar with:


1. Infrastructure as Code (IaC) Basics:

  • Terraform Fundamentals: Start with understanding how Terraform works as an IaC tool. Learn about its configuration language (HCL), providers, modules, state management, and how it automates the deployment of infrastructure.

  • Providers: Providers are the plugins that Terraform uses to interact with cloud services, on-premises solutions, and other APIs. For containerization, you’ll likely use providers like kubernetes, aws, azurerm, or google, depending on your platform.

2. Terraform for Container Orchestration:

  • Kubernetes Provider: Familiarize yourself with the Terraform Kubernetes provider, which allows you to manage Kubernetes resources (Pods, Deployments, Services, etc.) directly. This is essential for understanding how to provision and manage a Kubernetes cluster and its resources using Terraform.

  • Cluster Provisioning: Learn how Terraform can be used to provision entire Kubernetes clusters on various platforms (e.g., EKS for AWS, AKS for Azure, GKE for Google Cloud). Understand the Terraform modules and resources required to create, manage, and scale these clusters.

  • Helm Provider: Helm is a package manager for Kubernetes. Terraform can interact with Helm charts through the Helm provider, allowing you to deploy and manage complex Kubernetes applications as part of your Terraform configurations.

3. Networking and Load Balancing:

  • Container Networking: Understand how Terraform can be used to configure network resources that support containerized environments, such as VPCs, subnets, security groups, and network policies within Kubernetes.

  • Load Balancers and Ingress: Learn how Terraform can manage load balancers and Ingress controllers that direct traffic to your containerized applications. This includes setting up public and private endpoints, SSL termination, and other networking features.

4. Secrets Management and Configuration:

  • Managing Secrets: Containers often require access to secrets (e.g., API keys, credentials). Learn how Terraform can be used to securely manage and inject these secrets into containerized environments, using tools like Kubernetes Secrets, HashiCorp Vault, or cloud-native secret management services.

  • Config Maps and Environment Variables: Understand how Terraform can manage Kubernetes ConfigMaps and environment variables that containers use for configuration. This includes securely managing sensitive information and ensuring proper environment isolation.

5. State Management and Drift Detection:

  • Terraform State Files: In a containerized environment, Terraform state files will contain information about the Kubernetes cluster and other related resources. Understand how to manage and secure these state files, especially when working with sensitive data.

  • Drift Detection: Containers and Kubernetes resources can change dynamically. Learn how Terraform's drift detection works, how to monitor for inconsistencies between your Terraform configurations and the actual state of the infrastructure, and how to reconcile these differences.

6. CI/CD Integration:

  • Terraform in CI/CD Pipelines: Learn how Terraform can be integrated into CI/CD pipelines to automate the deployment of containerized applications. Understand the importance of automating Terraform plans, applies, and state management within these pipelines.

  • Continuous Deployment: Understand how Terraform can work alongside other CI/CD tools (e.g., Jenkins, GitLab CI, GitHub Actions) to enable continuous deployment of containerized applications, including rolling updates and canary deployments.

7. Security Considerations:

  • RBAC and IAM: Containers often rely on Kubernetes Role-Based Access Control (RBAC) and cloud IAM roles. Learn how Terraform can define and manage these roles to enforce the principle of least privilege in a containerized environment.

  • Compliance and Policy Enforcement: Familiarize yourself with tools that can enforce security and compliance policies within Terraform configurations, such as Open Policy Agent (OPA) for Kubernetes or terraform-compliance.

8. Monitoring and Logging:

  • Monitoring Infrastructure: Learn how Terraform can provision and configure monitoring solutions for containerized environments, such as Prometheus and Grafana for Kubernetes or cloud-native monitoring services.

  • Log Aggregation: Understand how Terraform can deploy and manage logging solutions that aggregate and analyze logs from your containerized applications, using tools like Fluentd, Elasticsearch, or cloud-native logging services.

9. Scaling and High Availability:

  • Auto-scaling: Learn how Terraform can configure auto-scaling policies for your containerized workloads, ensuring that your applications can handle varying loads efficiently.

  • High Availability: Understand how Terraform can manage the deployment of highly available infrastructure, including multi-region Kubernetes clusters, redundant load balancers, and distributed storage solutions.

10. Backup and Disaster Recovery:

  • Backup Strategies: Learn how Terraform can automate the backup of essential components in your containerized environment, such as etcd in Kubernetes or persistent storage volumes.

  • Disaster Recovery: Understand how Terraform can be used to implement disaster recovery plans, including automated failover, infrastructure rebuilding, and data restoration in case of catastrophic failures.


Summary

By understanding these areas, you'll have a comprehensive view of how Terraform interacts with containerized environments, helping you to manage, secure, and optimize these deployments effectively.

PreviousKey Focus Areas for Threat HuntersNextInfrastructure as Code (IaC) Basics

Last updated 9 months ago