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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. Container Networking
  • 2. Load Balancers and Ingress
  • Summary:
  1. Infrastructure as Code
  2. Kubernetes and Terraform

Network and Load Balancing

Overview

Let's look at networking and load balancing aspects of Terraform as they relate to containerized environments, particularly when working with Kubernetes.

1. Container Networking

Container networking is a critical aspect of deploying and managing containerized applications, particularly in Kubernetes. Terraform can be used to configure the network infrastructure that supports these environments.

Key Components:

  • VPCs (Virtual Private Clouds):

    • Purpose: VPCs provide an isolated virtual network environment within a cloud provider, such as AWS, Azure, or Google Cloud. This isolation is essential for securing your containerized workloads and controlling traffic flow between resources.

    • Terraform Implementation:

      • In AWS: Use aws_vpc to create a VPC.

      • In Azure: Use azurerm_virtual_network to create a virtual network.

      • In Google Cloud: Use google_compute_network to create a VPC network.

      resource "aws_vpc" "main" {
        cidr_block = "10.0.0.0/16"
      }
      
      resource "azurerm_virtual_network" "main" {
        name                = "mainVNet"
        address_space       = ["10.0.0.0/16"]
        location            = "West Europe"
        resource_group_name = azurerm_resource_group.main.name
      }
      
      resource "google_compute_network" "vpc_network" {
        name                    = "terraform-network"
        auto_create_subnetworks = "false"
      }
  • Subnets:

    • Purpose: Subnets partition your VPC into smaller network segments, allowing for better traffic control and organization of resources. Subnets can be designated as public (accessible from the internet) or private (internal traffic only).

    • Terraform Implementation:

      • In AWS: Use aws_subnet to create subnets within a VPC.

      • In Azure: Use azurerm_subnet to create subnets within a virtual network.

      • In Google Cloud: Use google_compute_subnetwork to create subnets within a VPC network.

      resource "aws_subnet" "subnet" {
        vpc_id            = aws_vpc.main.id
        cidr_block        = "10.0.1.0/24"
        availability_zone = "us-west-2a"
      }
      
      resource "azurerm_subnet" "subnet" {
        name                 = "mainSubnet"
        resource_group_name  = azurerm_resource_group.main.name
        virtual_network_name = azurerm_virtual_network.main.name
        address_prefixes     = ["10.0.1.0/24"]
      }
      
      resource "google_compute_subnetwork" "subnet" {
        name          = "terraform-subnet"
        ip_cidr_range = "10.0.1.0/24"
        region        = "us-central1"
        network       = google_compute_network.vpc_network.name
      }
  • Security Groups and Network Security Groups (NSGs):

    • Purpose: Security groups (in AWS) and NSGs (in Azure) are used to control inbound and outbound traffic to your resources. They define firewall rules that specify which types of traffic are allowed to and from your containers and other resources.

    • Terraform Implementation:

      • In AWS: Use aws_security_group to create security groups.

      • In Azure: Use azurerm_network_security_group to create NSGs.

      resource "aws_security_group" "web_sg" {
        name        = "web-sg"
        vpc_id      = aws_vpc.main.id
      
        ingress {
          from_port   = 80
          to_port     = 80
          protocol    = "tcp"
          cidr_blocks = ["0.0.0.0/0"]
        }
      
        egress {
          from_port   = 0
          to_port     = 0
          protocol    = "-1"
          cidr_blocks = ["0.0.0.0/0"]
        }
      }
      
      resource "azurerm_network_security_group" "web_nsg" {
        name                = "web-nsg"
        location            = azurerm_resource_group.main.location
        resource_group_name = azurerm_resource_group.main.name
      
        security_rule {
          name                       = "Allow-HTTP"
          priority                   = 100
          direction                  = "Inbound"
          access                     = "Allow"
          protocol                   = "Tcp"
          source_port_range          = "*"
          destination_port_range     = "80"
          source_address_prefix      = "*"
          destination_address_prefix = "*"
        }
      }
  • Network Policies (Kubernetes):

    • Purpose: In Kubernetes, network policies control the communication between Pods. They define which Pods can communicate with each other and with external services. Network policies are crucial for enforcing security and isolation in multi-tenant environments.

    • Terraform Implementation:

      • Use kubernetes_network_policy to create network policies within your Kubernetes cluster.

      resource "kubernetes_network_policy" "example" {
        metadata {
          name      = "deny-all"
          namespace = "default"
        }
      
        spec {
          pod_selector {}
          policy_types = ["Ingress"]
          ingress {
            from {
              pod_selector {
                match_labels = {
                  app = "nginx"
                }
              }
            }
            ports {
              port     = 80
              protocol = "TCP"
            }
          }
        }
      }

2. Load Balancers and Ingress

Load balancing and ingress management are critical for ensuring that traffic is routed correctly to your containerized applications. Terraform allows you to manage these components across different cloud providers.

Key Components:

  • Load Balancers:

    • Purpose: Load balancers distribute incoming traffic across multiple servers or containers to ensure high availability and reliability of your applications. They can be public (facing the internet) or internal (within a private network).

    • Terraform Implementation:

      • In AWS: Use aws_lb to create an Application Load Balancer (ALB) or aws_lb_listener to manage listeners.

      • In Azure: Use azurerm_lb to create a Load Balancer.

      • In Google Cloud: Use google_compute_global_forwarding_rule for HTTP(S) Load Balancing or google_compute_target_pool for network load balancing.

      hclCopy coderesource "aws_lb" "example" {
        name               = "example-lb"
        internal           = false
        load_balancer_type = "application"
        security_groups    = [aws_security_group.web_sg.id]
        subnets            = [aws_subnet.subnet.id]
      }
      
      resource "azurerm_lb" "example" {
        name                = "example-lb"
        location            = azurerm_resource_group.main.location
        resource_group_name = azurerm_resource_group.main.name
        frontend_ip_configuration {
          name                 = "PublicIPAddress"
          public_ip_address_id = azurerm_public_ip.example.id
        }
      }
      
      resource "google_compute_global_forwarding_rule" "default" {
        name       = "example-rule"
        target     = google_compute_target_http_proxy.default.self_link
        port_range = "80"
      }
  • Ingress Controllers (Kubernetes):

    • Purpose: In Kubernetes, an Ingress controller manages external access to the services in a cluster, typically HTTP/HTTPS. It provides SSL termination, load balancing, and routing features for your services.

    • Terraform Implementation:

      • Use kubernetes_ingress to define Ingress resources that manage the routing of external traffic to your Kubernetes services.

      hclCopy coderesource "kubernetes_ingress" "example" {
        metadata {
          name      = "example-ingress"
          namespace = "default"
          annotations = {
            "nginx.ingress.kubernetes.io/rewrite-target" = "/"
          }
        }
      
        spec {
          rule {
            http {
              path {
                backend {
                  service_name = "example-service"
                  service_port = 80
                }
                path = "/"
              }
            }
          }
        }
      }
    • SSL Termination: Ingress controllers can handle SSL termination, where they decrypt incoming SSL/TLS traffic before passing it to the backend services. This can be managed using annotations in the kubernetes_ingress resource.

    • Public and Private Endpoints: You can configure Ingress controllers to expose public endpoints (accessible from the internet) or private endpoints (accessible only within the VPC or network).

  • DNS and Custom Domains:

    • Purpose: DNS configuration is often paired with Ingress resources to route custom domains to your Kubernetes services.

    • Terraform Implementation:

      • Use DNS resources (e.g., aws_route53_record, google_dns_record_set, or azurerm_dns_a_record) to create DNS records that point to your load balancers or Ingress controllers.

      resource "aws_route53_record" "example" {
        zone_id = aws_route53_zone.example.zone_id
        name    = "www.example.com"
        type    = "A"
        alias {
          name                   = aws_lb.example.dns_name
          zone_id                = aws_lb.example.zone_id
          evaluate_target_health = true
        }
      }

Summary:

  • Container Networking: Terraform enables you to create and manage the foundational network components (VPCs, subnets, security groups, and network policies) that ensure your containerized environments are secure, isolated, and performant. These configurations are essential for controlling traffic and securing communications within your Kubernetes clusters.

  • Load Balancers and Ingress: Terraform allows you to manage load balancers, which are crucial for distributing traffic and ensuring high availability of your services. In Kubernetes, Ingress controllers manage external access and routing, enabling you to expose services to the internet or internal networks. Terraform’s capabilities extend to managing SSL termination, public and private endpoints, and DNS configurations for custom domains, ensuring that your applications are accessible and secure.

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Last updated 9 months ago