Configure Envoy proxy rate limiting and circuit breakers for microservices resilience

Update system packages

Start by updating your package manager to ensure you get the latest security patches and dependencies.

sudo apt update && sudo apt upgrade -y

sudo dnf update -y

Install required dependencies

Install Docker and Docker Compose to run Envoy and sample microservices for testing our configuration.

sudo apt install -y apt-transport-https ca-certificates curl gnupg lsb-release
curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo gpg --dearmor -o /usr/share/keyrings/docker-archive-keyring.gpg
echo "deb [arch=amd64 signed-by=/usr/share/keyrings/docker-archive-keyring.gpg] https://download.docker.com/linux/ubuntu $(lsb_release -cs) stable" | sudo tee /etc/apt/sources.list.d/docker.list
sudo apt update
sudo apt install -y docker-ce docker-ce-cli containerd.io docker-compose-plugin

sudo dnf install -y yum-utils
sudo yum-config-manager --add-repo https://download.docker.com/linux/centos/docker-ce.repo
sudo dnf install -y docker-ce docker-ce-cli containerd.io docker-compose-plugin

Start Docker service

Enable and start Docker to ensure it runs on boot and is available for our Envoy containers.

sudo systemctl enable --now docker
sudo usermod -aG docker $USER
newgrp docker

Create project directory structure

Set up organized directories for our Envoy configuration files and microservice definitions.

mkdir -p ~/envoy-resilience/{configs,services,logs}
cd ~/envoy-resilience

Configure Envoy with rate limiting and circuit breakers

Create the main Envoy configuration that includes global rate limiting, local rate limiting, and circuit breaker settings.

static_resources:
  listeners:
  - name: main_listener
    address:
      socket_address:
        protocol: TCP
        address: 0.0.0.0
        port_value: 8080
    filter_chains:
    - filters:
      - name: envoy.filters.network.http_connection_manager
        typed_config:
          "@type": type.googleapis.com/envoy.extensions.filters.network.http_connection_manager.v3.HttpConnectionManager
          stat_prefix: ingress_http
          access_log:
          - name: envoy.access_loggers.file
            typed_config:
              "@type": type.googleapis.com/envoy.extensions.access_loggers.file.v3.FileAccessLog
              path: "/var/log/envoy/access.log"
          http_filters:
          - name: envoy.filters.http.local_ratelimit
            typed_config:
              "@type": type.googleapis.com/udpa.type.v1.TypedStruct
              type_url: type.googleapis.com/envoy.extensions.filters.http.local_ratelimit.v3.LocalRateLimit
              value:
                stat_prefix: local_rate_limiter
                token_bucket:
                  max_tokens: 100
                  tokens_per_fill: 100
                  fill_interval: 60s
                filter_enabled:
                  runtime_key: local_rate_limit_enabled
                  default_value:
                    numerator: 100
                    denominator: HUNDRED
                filter_enforced:
                  runtime_key: local_rate_limit_enforced
                  default_value:
                    numerator: 100
                    denominator: HUNDRED
          - name: envoy.filters.http.ratelimit
            typed_config:
              "@type": type.googleapis.com/envoy.extensions.filters.http.ratelimit.v3.RateLimit
              domain: edge_proxy_ratelimit
              stage: 0
              request_type: both
              timeout: 0.25s
              failure_mode_deny: false
              rate_limit_service:
                grpc_service:
                  envoy_grpc:
                    cluster_name: ratelimit_cluster
                transport_api_version: V3
          - name: envoy.filters.http.router
            typed_config:
              "@type": type.googleapis.com/envoy.extensions.filters.http.router.v3.Router
          route_config:
            name: local_route
            virtual_hosts:
            - name: backend_services
              domains: ["*"]
              routes:
              - match:
                  prefix: "/api/v1/users"
                route:
                  cluster: user_service
                  timeout: 5s
                  retry_policy:
                    retry_on: 5xx,gateway-error,connect-failure,refused-stream
                    num_retries: 3
                    per_try_timeout: 2s
                    retry_back_off:
                      base_interval: 0.25s
                      max_interval: 2s
              - match:
                  prefix: "/api/v1/orders"
                route:
                  cluster: order_service
                  timeout: 10s
                  retry_policy:
                    retry_on: 5xx,gateway-error,connect-failure,refused-stream
                    num_retries: 2
                    per_try_timeout: 5s
              rate_limits:
              - actions:
                - request_headers:
                    header_name: "x-forwarded-for"
                    descriptor_key: "remote_address"
              - actions:
                - generic_key:
                    descriptor_value: "global_rate_limit"
  clusters:
  - name: user_service
    connect_timeout: 2s
    type: STRICT_DNS
    dns_lookup_family: V4_ONLY
    lb_policy: ROUND_ROBIN
    circuit_breakers:
      thresholds:
      - priority: DEFAULT
        max_connections: 50
        max_pending_requests: 30
        max_requests: 100
        max_retries: 10
        retry_budget:
          budget_percent:
            value: 25.0
          min_retry_concurrency: 5
      - priority: HIGH
        max_connections: 10
        max_pending_requests: 5
        max_requests: 20
        max_retries: 3
    outlier_detection:
      consecutive_5xx: 3
      consecutive_gateway_failure: 3
      interval: 10s
      base_ejection_time: 30s
      max_ejection_percent: 50
      min_health_percent: 30
    health_checks:
    - timeout: 1s
      interval: 5s
      unhealthy_threshold: 3
      healthy_threshold: 2
      http_health_check:
        path: "/health"
        expected_statuses:
        - start: 200
          end: 299
    load_assignment:
      cluster_name: user_service
      endpoints:
      - lb_endpoints:
        - endpoint:
            address:
              socket_address:
                address: user_service
                port_value: 3000
  - name: order_service
    connect_timeout: 3s
    type: STRICT_DNS
    dns_lookup_family: V4_ONLY
    lb_policy: LEAST_REQUEST
    circuit_breakers:
      thresholds:
      - priority: DEFAULT
        max_connections: 30
        max_pending_requests: 20
        max_requests: 60
        max_retries: 5
        retry_budget:
          budget_percent:
            value: 20.0
          min_retry_concurrency: 3
    outlier_detection:
      consecutive_5xx: 5
      consecutive_gateway_failure: 5
      interval: 15s
      base_ejection_time: 60s
      max_ejection_percent: 30
      min_health_percent: 50
    health_checks:
    - timeout: 2s
      interval: 10s
      unhealthy_threshold: 3
      healthy_threshold: 2
      http_health_check:
        path: "/health"
    load_assignment:
      cluster_name: order_service
      endpoints:
      - lb_endpoints:
        - endpoint:
            address:
              socket_address:
                address: order_service
                port_value: 3000
  - name: ratelimit_cluster
    connect_timeout: 1s
    type: STRICT_DNS
    dns_lookup_family: V4_ONLY
    lb_policy: ROUND_ROBIN
    http2_protocol_options: {}
    load_assignment:
      cluster_name: ratelimit_cluster
      endpoints:
      - lb_endpoints:
        - endpoint:
            address:
              socket_address:
                address: ratelimit_service
                port_value: 8081
admin:
  address:
    socket_address:
      protocol: TCP
      address: 0.0.0.0
      port_value: 9901

Configure global rate limiting service

Create the rate limiting configuration that defines specific limits for different request patterns and client types.

domain: edge_proxy_ratelimit
descriptors:
  # Global rate limit: 1000 requests per minute
  - key: generic_key
    value: "global_rate_limit"
    rate_limit:
      unit: minute
      requests_per_unit: 1000
  
  # Per-IP rate limit: 100 requests per minute
  - key: remote_address
    rate_limit:
      unit: minute
      requests_per_unit: 100
  
  # Specific endpoint limits
  - key: header_match
    value: "api_v1_users"
    descriptors:
    - key: remote_address
      rate_limit:
        unit: minute
        requests_per_unit: 50
  
  # Premium users get higher limits
  - key: header_match
    value: "premium_user"
    descriptors:
    - key: remote_address
      rate_limit:
        unit: minute
        requests_per_unit: 500
  
  # Burst protection for critical endpoints
  - key: generic_key
    value: "burst_protection"
    rate_limit:
      unit: second
      requests_per_unit: 10

Create sample microservices

Set up simple Node.js services to test our Envoy configuration with realistic backend behavior including health checks.

const express = require('express');
const app = express();
const port = 3000;

let requestCount = 0;
let isHealthy = true;

app.use(express.json());

// Health check endpoint
app.get('/health', (req, res) => {
  if (isHealthy) {
    res.status(200).json({ status: 'healthy', service: 'user-service', uptime: process.uptime() });
  } else {
    res.status(503).json({ status: 'unhealthy', service: 'user-service' });
  }
});

// Simulate user endpoints
app.get('/api/v1/users', (req, res) => {
  requestCount++;
  
  // Simulate occasional failures to test circuit breakers
  if (requestCount % 20 === 0) {
    return res.status(500).json({ error: 'Simulated server error' });
  }
  
  // Simulate slow responses
  const delay = Math.random() * 1000;
  setTimeout(() => {
    res.json({
      users: [
        { id: 1, name: 'Alice', email: 'alice@example.com' },
        { id: 2, name: 'Bob', email: 'bob@example.com' }
      ],
      requestId: requestCount,
      processingTime: delay
    });
  }, delay);
});

app.get('/api/v1/users/:id', (req, res) => {
  requestCount++;
  const userId = parseInt(req.params.id);
  
  if (userId > 1000) {
    return res.status(404).json({ error: 'User not found' });
  }
  
  res.json({
    id: userId,
    name: `User${userId}`,
    email: `user${userId}@example.com`,
    requestId: requestCount
  });
});

// Admin endpoint to control health
app.post('/admin/health', (req, res) => {
  isHealthy = req.body.healthy !== false;
  res.json({ status: isHealthy ? 'healthy' : 'unhealthy' });
});

app.listen(port, '0.0.0.0', () => {
  console.log(`User service listening on port ${port}`);
});

Create order service

Build a second microservice with different performance characteristics to demonstrate cluster-specific circuit breaker settings.

const express = require('express');
const app = express();
const port = 3000;

let requestCount = 0;
let isHealthy = true;

app.use(express.json());

// Health check endpoint
app.get('/health', (req, res) => {
  if (isHealthy) {
    res.status(200).json({ status: 'healthy', service: 'order-service', uptime: process.uptime() });
  } else {
    res.status(503).json({ status: 'unhealthy', service: 'order-service' });
  }
});

// Order endpoints with heavier processing simulation
app.get('/api/v1/orders', (req, res) => {
  requestCount++;
  
  // Simulate database-heavy operations with longer delays
  const delay = Math.random() * 3000 + 500; // 500ms to 3.5s
  
  // Simulate more frequent failures for this service
  if (requestCount % 15 === 0) {
    return res.status(503).json({ error: 'Database connection timeout' });
  }
  
  if (requestCount % 25 === 0) {
    return res.status(500).json({ error: 'Internal processing error' });
  }
  
  setTimeout(() => {
    res.json({
      orders: [
        { id: 1001, userId: 1, total: 99.99, status: 'shipped' },
        { id: 1002, userId: 2, total: 149.99, status: 'processing' }
      ],
      requestId: requestCount,
      processingTime: delay,
      timestamp: new Date().toISOString()
    });
  }, delay);
});

app.post('/api/v1/orders', (req, res) => {
  requestCount++;
  
  // Simulate order creation with validation
  const { userId, items, total } = req.body;
  
  if (!userId || !items || !total) {
    return res.status(400).json({ error: 'Missing required fields' });
  }
  
  // Simulate processing delay
  setTimeout(() => {
    res.status(201).json({
      orderId: 1000 + requestCount,
      userId,
      items,
      total,
      status: 'created',
      requestId: requestCount
    });
  }, Math.random() * 2000 + 1000); // 1-3 second processing time
});

app.post('/admin/health', (req, res) => {
  isHealthy = req.body.healthy !== false;
  res.json({ status: isHealthy ? 'healthy' : 'unhealthy' });
});

app.listen(port, '0.0.0.0', () => {
  console.log(`Order service listening on port ${port}`);
});

Create package.json for services

Define the Node.js dependencies for our microservices with minimal required packages.

{
  "name": "envoy-microservices",
  "version": "1.0.0",
  "description": "Sample microservices for Envoy resilience testing",
  "main": "user-service.js",
  "scripts": {
    "start:user": "node user-service.js",
    "start:order": "node order-service.js"
  },
  "dependencies": {
    "express": "^4.18.2"
  },
  "keywords": ["microservices", "envoy", "nodejs"],
  "author": "Infrastructure Team",
  "license": "MIT"
}

Create Docker Compose configuration

Define the complete multi-service setup including Envoy, rate limiting service, Redis backend, and our microservices.

version: '3.8'

services:
  envoy:
    image: envoyproxy/envoy:v1.28-latest
    ports:
      - "8080:8080"
      - "9901:9901"
    volumes:
      - ./configs/envoy.yaml:/etc/envoy/envoy.yaml:ro
      - ./logs:/var/log/envoy
    command: /usr/local/bin/envoy -c /etc/envoy/envoy.yaml --service-cluster envoy-proxy --service-node envoy-node --log-level info
    depends_on:
      - user_service
      - order_service
      - ratelimit_service
    networks:
      - envoy_network

  ratelimit_service:
    image: envoyproxy/ratelimit:master
    ports:
      - "8081:8081"
      - "6070:6070"
    environment:
      - USE_STATSD=false
      - LOG_LEVEL=debug
      - REDIS_SOCKET_TYPE=tcp
      - REDIS_URL=redis:6379
      - RUNTIME_ROOT=/data
      - RUNTIME_SUBDIRECTORY=ratelimit
      - RUNTIME_WATCH_ROOT=false
    volumes:
      - ./configs/ratelimit-config.yaml:/data/ratelimit/config/config.yaml:ro
    depends_on:
      - redis
    networks:
      - envoy_network

  redis:
    image: redis:7-alpine
    ports:
      - "6379:6379"
    command: redis-server --maxmemory 256mb --maxmemory-policy allkeys-lru
    volumes:
      - redis_data:/data
    networks:
      - envoy_network

  user_service:
    build:
      context: ./services
      dockerfile_inline: |
        FROM node:18-alpine
        WORKDIR /app
        COPY package*.json ./
        RUN npm install --production
        COPY user-service.js ./
        EXPOSE 3000
        USER node
        CMD ["node", "user-service.js"]
    ports:
      - "3001:3000"
    environment:
      - NODE_ENV=production
      - SERVICE_NAME=user-service
    healthcheck:
      test: ["CMD", "wget", "--quiet", "--tries=1", "--spider", "http://localhost:3000/health"]
      interval: 10s
      timeout: 3s
      retries: 3
    networks:
      - envoy_network

  order_service:
    build:
      context: ./services
      dockerfile_inline: |
        FROM node:18-alpine
        WORKDIR /app
        COPY package*.json ./
        RUN npm install --production
        COPY order-service.js ./
        EXPOSE 3000
        USER node
        CMD ["node", "order-service.js"]
    ports:
      - "3002:3000"
    environment:
      - NODE_ENV=production
      - SERVICE_NAME=order-service
    healthcheck:
      test: ["CMD", "wget", "--quiet", "--tries=1", "--spider", "http://localhost:3000/health"]
      interval: 15s
      timeout: 5s
      retries: 3
    networks:
      - envoy_network

volumes:
  redis_data:

networks:
  envoy_network:
    driver: bridge

Start the complete service stack

Launch all services using Docker Compose and verify they start correctly with proper networking.

cd ~/envoy-resilience
docker compose up -d
docker compose logs -f --tail=50

Create load testing script

Build a comprehensive test script to validate rate limiting and circuit breaker functionality under various load conditions.

#!/bin/bash

set -e

ENVOY_URL="http://localhost:8080"
ADMIN_URL="http://localhost:9901"

echo "=== Envoy Resilience Testing Script ==="
echo "Testing rate limiting and circuit breakers..."

# Function to test basic connectivity
test_connectivity() {
    echo "\n1. Testing basic connectivity..."
    
    echo "User service health:"
    curl -s "${ENVOY_URL}/api/v1/users" | jq '.' || echo "Request failed"
    
    echo "\nOrder service health:"
    curl -s "${ENVOY_URL}/