DNS A Record Implementation Guide
TL;DR: A records map domain names to IPv4 addresses, forming the DNS foundation that enables HTTP-01 ACME challenges, web services, and certificate validation. Proper A record implementation requires understanding apex vs subdomain patterns, TTL strategies, Infrastructure-as-Code management, and geographic distribution for global certificate operations.
Overview: DNS Infrastructure for ACME Automation
A records represent the most essential DNS record type—without them, domain names cannot resolve to servers, and ACME HTTP-01 challenges cannot complete. While conceptually straightforward (domain → IP address), production A record implementations involve complex considerations: split-brain DNS for multi-region deployments, TTL optimization for migration windows, Infrastructure-as-Code management for consistency, and geographic distribution for global certificate automation.
The implementation challenge: Modern organizations operate certificates across dozens of domains, multiple cloud regions, and diverse infrastructure—containers, VMs, serverless, edge computing. Each requires correct A record configuration for ACME validation, but different infrastructure types demand different A record patterns. A record implementation strategy that works for a single-server deployment breaks completely in multi-cloud, globally distributed environments.
Why This Belongs in ACME Client Operations
This guide complements A Record Configuration by focusing on implementation patterns rather than operational troubleshooting. While the configuration guide addresses "why is my ACME validation failing," this guide addresses "how should I architect A records for scalable ACME automation."
Different focus areas:
A Record Configuration (operational troubleshooting): - Debugging HTTP-01 validation failures - CDN/proxy complications with ACME - Load balancer challenge routing - Common misconfigurations breaking ACME
DNS A Record Implementation (this page, infrastructure patterns): - Infrastructure-as-Code A record management - Multi-region geographic distribution - TTL strategies for different environments - Enterprise automation and consistency - Public Suffix List considerations for dynamic DNS
Real-world implementation scenario: Your organization operates ACME automation across 3 AWS regions, 2 Azure regions, and on-premises infrastructure. Each region has separate certificate servers for latency optimization. You need A record implementation patterns that support:
- Regional subdomains for latency optimization (us-east.api.example.com, eu-west.api.example.com)
- Consistent A record TTLs across all environments
- Infrastructure-as-Code for reproducible deployments
- Automated A record creation/updates during infrastructure scaling
- Health-check-based failover without manual DNS updates
Related Documentation
This page is part of the Operating ACME Clients section:
- Operating ACME Clients Overview - Section introduction
- X.509 Certificate Verification - Certificate validation
- Certbot Renewal Automation - Renewal automation
- DNS-01 Challenge Validation - DNS-based validation
- A Record Configuration - ACME-specific A record troubleshooting
- DNS A Record Implementation (this page) - Infrastructure patterns
- HTTP-01 Challenge Validation (coming) - HTTP-01 requiring proper A records
For infrastructure context: - Multi-Cloud PKI - Certificates across cloud providers - Certificate-as-Code - Infrastructure-as-Code patterns - High Availability & Disaster Recovery - Failover patterns
Problem Statement
Common A record implementation challenges in enterprise ACME environments include:
- Split-brain configurations where apex and www subdomains point to different infrastructure (intentional or accidental)
- Missing subdomain records causing HTTP-01 certificate validation failures for services assumed to be covered
- DNS propagation delays affecting service availability during infrastructure migrations and certificate reissuance
- Inconsistent TTL values leading to caching issues across global CDN and resolver infrastructure
- Public Suffix List complications with dynamic DNS services (DuckDNS, No-IP) and NAS devices (Synology, QNAP)
- Infrastructure-as-Code drift where manually created A records diverge from Terraform/CloudFormation definitions
- Multi-region complexity requiring geographic A record distribution for latency optimization
Enterprise failure scenario: Your organization manages 50+ domains across AWS, Azure, and GCP. Manual A record management leads to inconsistent configurations—some domains have www records, others don't. Some use TTL 300, others 86400. During a certificate renewal, HTTP-01 challenges fail intermittently because DNS caching causes some regions to resolve to old IPs from a previous migration. Debugging requires checking 50 domains × 3 DNS providers × 4 public resolvers = 600 manual checks.
Architecture
Standard A Record Structure
Field Breakdown: - domain.com.: Fully Qualified Domain Name (trailing dot = absolute) - TTL: Time-to-live in seconds (cache duration) - IN: Internet class (standard for all DNS records) - A: IPv4 address record type (vs AAAA for IPv6) - 192.0.2.1: Target IPv4 address
Enterprise DNS Hierarchy
┌─ Authoritative DNS Server (ns1.example.com)
│
├─ Zone File Management (example.com zone)
│ │
│ ├─ Apex Domain (@, example.com)
│ │ └─ A record → 203.0.113.10
│ │
│ ├─ WWW Subdomain (www.example.com)
│ │ └─ A record → 203.0.113.10
│ │
│ ├─ Service Subdomains
│ │ ├─ mail.example.com → 203.0.113.20
│ │ ├─ api.example.com → 203.0.113.30
│ │ └─ vpn.example.com → 203.0.113.40
│ │
│ └─ Geographic Subdomains
│ ├─ us-east.api.example.com → 203.0.113.31
│ ├─ eu-west.api.example.com → 198.51.100.10
│ └─ ap-south.api.example.com → 192.0.2.10
│
└─ TTL Strategy by Record Type
├─ Production services: 300-1800s
├─ Static infrastructure: 3600-7200s
└─ Migration/testing: 60-300s
Load Balancer Integration for High Availability
For high-availability ACME setups with multiple backend servers:
# Round-robin DNS (simple load distribution)
api.domain.com. 300 IN A 10.0.1.10
api.domain.com. 300 IN A 10.0.1.11
api.domain.com. 300 IN A 10.0.1.12
# All servers must serve identical ACME challenges
# Otherwise: 66% validation failure rate
Better Approach: Single A record to load balancer VIP
api.domain.com. 300 IN A 10.0.1.100 # Load balancer VIP
# Load balancer routes /.well-known/acme-challenge/ to certificate server
Implementation
1. Basic A Record Creation
BIND Zone File (Traditional DNS)
$ORIGIN domain.com.
$TTL 300
; Apex domain
@ IN A 203.0.113.10
; WWW subdomain
www IN A 203.0.113.10
; Service-specific
mail IN A 203.0.113.20
api IN A 203.0.113.30
AWS Route 53 CLI
# Create A record for apex domain
aws route53 change-resource-record-sets \
--hosted-zone-id Z1234567890ABC \
--change-batch '{
"Changes": [{
"Action": "CREATE",
"ResourceRecordSet": {
"Name": "example.com",
"Type": "A",
"TTL": 300,
"ResourceRecords": [{"Value": "203.0.113.10"}]
}
}]
}'
# Create A record for www subdomain
aws route53 change-resource-record-sets \
--hosted-zone-id Z1234567890ABC \
--change-batch '{
"Changes": [{
"Action": "CREATE",
"ResourceRecordSet": {
"Name": "www.example.com",
"Type": "A",
"TTL": 300,
"ResourceRecords": [{"Value": "203.0.113.10"}]
}
}]
}'
Cloudflare API
ZONE_ID="your-zone-id"
API_TOKEN="your-api-token"
# Create apex A record
curl -X POST "https://api.cloudflare.com/client/v4/zones/$ZONE_ID/dns_records" \
-H "Authorization: Bearer $API_TOKEN" \
-H "Content-Type: application/json" \
--data '{
"type": "A",
"name": "@",
"content": "203.0.113.10",
"ttl": 300,
"proxied": false
}'
# Create www A record
curl -X POST "https://api.cloudflare.com/client/v4/zones/$ZONE_ID/dns_records" \
-H "Authorization: Bearer $API_TOKEN" \
-H "Content-Type: application/json" \
--data '{
"type": "A",
"name": "www",
"content": "203.0.113.10",
"ttl": 300,
"proxied": false
}'
Azure DNS CLI
# Create A record for apex
az network dns record-set a add-record \
--resource-group MyResourceGroup \
--zone-name example.com \
--record-set-name @ \
--ipv4-address 203.0.113.10 \
--ttl 300
# Create A record for www
az network dns record-set a add-record \
--resource-group MyResourceGroup \
--zone-name example.com \
--record-set-name www \
--ipv4-address 203.0.113.10 \
--ttl 300
2. Certificate Validation Requirements
For Let's Encrypt HTTP-01 challenges, both apex and www must resolve:
# Minimum requirement for ACME HTTP-01
example.com. 300 IN A server_ip
www.example.com. 300 IN A server_ip
# Verification
dig +short example.com @8.8.8.8
dig +short www.example.com @8.8.8.8
# Both should return same IP for consistent certificate coverage
Multi-SAN Certificate Considerations:
# Certificate for: example.com, www.example.com, blog.example.com
# All domains need A records pointing to validation server
example.com. 300 IN A 203.0.113.10
www.example.com. 300 IN A 203.0.113.10
blog.example.com. 300 IN A 203.0.113.10
# Certbot will validate all three during issuance
certbot certonly --nginx \
-d example.com \
-d www.example.com \
-d blog.example.com
3. Enterprise Automation with Infrastructure-as-Code
Terraform Configuration (Multi-Provider)
Cloudflare Provider:
terraform {
required_providers {
cloudflare = {
source = "cloudflare/cloudflare"
version = "~> 4.0"
}
}
}
provider "cloudflare" {
api_token = var.cloudflare_api_token
}
# Variables
variable "server_ip" {
description = "Web server IP address"
type = string
default = "203.0.113.10"
}
variable "zone_id" {
description = "Cloudflare zone ID"
type = string
}
# Apex domain A record
resource "cloudflare_record" "apex" {
zone_id = var.zone_id
name = "@"
value = var.server_ip
type = "A"
ttl = 300
proxied = false # Disable proxy for ACME validation
}
# WWW subdomain A record
resource "cloudflare_record" "www" {
zone_id = var.zone_id
name = "www"
value = var.server_ip
type = "A"
ttl = 300
proxied = false
}
# API subdomain
resource "cloudflare_record" "api" {
zone_id = var.zone_id
name = "api"
value = var.api_server_ip
type = "A"
ttl = 300
proxied = false
}
AWS Route53 Provider:
provider "aws" {
region = "us-east-1"
}
data "aws_route53_zone" "primary" {
name = "example.com"
}
# Apex A record
resource "aws_route53_record" "apex" {
zone_id = data.aws_route53_zone.primary.zone_id
name = "example.com"
type = "A"
ttl = 300
records = [var.server_ip]
}
# WWW A record
resource "aws_route53_record" "www" {
zone_id = data.aws_route53_zone.primary.zone_id
name = "www.example.com"
type = "A"
ttl = 300
records = [var.server_ip]
}
# Output for verification
output "apex_ip" {
value = aws_route53_record.apex.records[0]
}
output "www_ip" {
value = aws_route53_record.www.records[0]
}
Multi-Cloud Terraform Pattern:
# Manage DNS across multiple providers
module "cloudflare_dns" {
source = "./modules/cloudflare-dns"
domains = {
"example.com" = "203.0.113.10"
"api.example.com" = "203.0.113.20"
}
}
module "route53_dns" {
source = "./modules/route53-dns"
domains = {
"aws-service.example.com" = "54.xxx.xxx.xxx"
}
}
module "azure_dns" {
source = "./modules/azure-dns"
domains = {
"azure-app.example.com" = "20.xxx.xxx.xxx"
}
}
Ansible Playbook for A Record Management
---
- name: Configure A records for ACME infrastructure
hosts: localhost
vars:
dns_records:
- name: "@"
type: "A"
value: "{{ server_ip }}"
ttl: 300
- name: "www"
type: "A"
value: "{{ server_ip }}"
ttl: 300
- name: "api"
type: "A"
value: "{{ api_server_ip }}"
ttl: 300
tasks:
- name: Create A records in Cloudflare
cloudflare_dns:
zone: example.com
record: "{{ item.name }}"
type: "{{ item.type }}"
value: "{{ item.value }}"
ttl: "{{ item.ttl }}"
proxied: false
api_token: "{{ cloudflare_api_token }}"
loop: "{{ dns_records }}"
- name: Verify A record resolution
command: dig +short {{ item.name }}.example.com @8.8.8.8
register: dns_check
loop: "{{ dns_records }}"
- name: Display DNS verification results
debug:
msg: "{{ item.item.name }}.example.com → {{ item.stdout }}"
loop: "{{ dns_check.results }}"
Python DNS Automation
import CloudFlare
import boto3
class DNSRecordManager:
"""Manage A records across multiple DNS providers for ACME infrastructure"""
def __init__(self, cloudflare_token=None, aws_profile=None):
self.cf = CloudFlare.CloudFlare(token=cloudflare_token) if cloudflare_token else None
self.r53 = boto3.client('route53', profile_name=aws_profile) if aws_profile else None
def create_a_record_cloudflare(self, zone_id, name, ip, ttl=300):
"""Create A record in Cloudflare"""
try:
record = self.cf.zones.dns_records.post(
zone_id,
data={
'type': 'A',
'name': name,
'content': ip,
'ttl': ttl,
'proxied': False # Required for ACME HTTP-01
}
)
print(f"Created: {name} → {ip}")
return record
except CloudFlare.exceptions.CloudFlareAPIError as e:
print(f"Error: {e}")
return None
def create_a_record_route53(self, zone_id, name, ip, ttl=300):
"""Create A record in Route53"""
try:
response = self.r53.change_resource_record_sets(
HostedZoneId=zone_id,
ChangeBatch={
'Changes': [{
'Action': 'UPSERT',
'ResourceRecordSet': {
'Name': name,
'Type': 'A',
'TTL': ttl,
'ResourceRecords': [{'Value': ip}]
}
}]
}
)
print(f"Created: {name} → {ip}")
return response
except Exception as e:
print(f"Error: {e}")
return None
def validate_a_records(self, domains):
"""Verify A records resolve correctly"""
import dns.resolver
results = {}
for domain in domains:
try:
answers = dns.resolver.resolve(domain, 'A')
results[domain] = [str(rdata) for rdata in answers]
except Exception as e:
results[domain] = f"Error: {e}"
return results
# Usage
manager = DNSRecordManager(cloudflare_token="your-token")
manager.create_a_record_cloudflare(
zone_id="zone123",
name="www",
ip="203.0.113.10"
)
4. Validation and Testing
Comprehensive DNS Testing Script
#!/bin/bash
# Validate A record configuration for ACME readiness
DOMAIN="$1"
EXPECTED_IP="$2"
echo "=== A Record Validation for ACME Infrastructure ==="
echo "Domain: $DOMAIN"
echo "Expected IP: $EXPECTED_IP"
echo ""
# Test against multiple public DNS resolvers
RESOLVERS=("8.8.8.8" "8.8.4.4" "1.1.1.1" "1.0.0.1" "208.67.222.222" "208.67.220.220")
echo "Checking A record resolution across public DNS:"
MISMATCH=0
for resolver in "${RESOLVERS[@]}"; do
ip=$(dig +short "$DOMAIN" @"$resolver" | grep -E '^[0-9]+\.' | head -n1)
if [ "$ip" == "$EXPECTED_IP" ]; then
echo " ✓ $resolver → $ip"
else
echo " ✗ $resolver → $ip (expected $EXPECTED_IP)"
MISMATCH=1
fi
done
if [ $MISMATCH -eq 1 ]; then
echo ""
echo "WARNING: DNS propagation incomplete or A record misconfigured"
echo "Wait for propagation or fix A record"
exit 1
fi
echo ""
echo "✓ All resolvers return consistent IP: $EXPECTED_IP"
echo ""
# Test HTTP connectivity for ACME HTTP-01
echo "Testing HTTP connectivity (ACME HTTP-01 requirement):"
if timeout 5 curl -sf -o /dev/null -w "%{http_code}" "http://$DOMAIN/.well-known/acme-challenge/test" | grep -q "404\|200"; then
echo " ✓ HTTP server reachable on $DOMAIN"
echo " ✓ ACME HTTP-01 validation should succeed"
else
echo " ✗ Cannot reach HTTP server on $DOMAIN"
echo " ✗ ACME HTTP-01 validation will fail"
echo " Consider: Firewall rules, web server status, CDN configuration"
exit 1
fi
echo ""
echo "=== A Record Configuration Valid for ACME ==="
Automated Monitoring Script
#!/bin/bash
# Monitor A record changes for ACME infrastructure
DOMAINS=("example.com" "www.example.com" "api.example.com")
STATE_FILE="/var/lib/dns-monitor/a-records.state"
for domain in "${DOMAINS[@]}"; do
current_ip=$(dig +short "$domain" @8.8.8.8 | head -n1)
previous_ip=$(grep "^$domain " "$STATE_FILE" 2>/dev/null | awk '{print $2}')
if [ "$current_ip" != "$previous_ip" ]; then
echo "ALERT: A record changed for $domain"
echo " Previous: $previous_ip"
echo " Current: $current_ip"
# Send alert
echo "DNS A record changed: $domain ($previous_ip → $current_ip)" | \
mail -s "DNS Change Alert" [email protected]
# Update state file
sed -i "/^$domain /d" "$STATE_FILE"
echo "$domain $current_ip" >> "$STATE_FILE"
fi
done
5. Geographic Distribution for Global ACME Operations
Pattern: Regional subdomains for latency optimization
# Global DNS configuration for multi-region ACME
# Main domain
example.com. 300 IN A 203.0.113.10 # US East (primary)
www.example.com. 300 IN A 203.0.113.10
# Regional API endpoints
us-east.api.example.com. 300 IN A 203.0.113.30 # AWS us-east-1
us-west.api.example.com. 300 IN A 198.51.100.10 # AWS us-west-2
eu-west.api.example.com. 300 IN A 192.0.2.10 # AWS eu-west-1
ap-south.api.example.com.300 IN A 192.0.2.20 # AWS ap-south-1
# Each region runs its own Certbot instance
# Certificates issued independently per region
# Reduces cross-region latency for HTTP-01 validation
Terraform Multi-Region Implementation:
# Regional A record module
variable "regions" {
type = map(object({
subdomain = string
ip_address = string
}))
default = {
us-east = {
subdomain = "us-east.api"
ip_address = "203.0.113.30"
}
eu-west = {
subdomain = "eu-west.api"
ip_address = "192.0.2.10"
}
ap-south = {
subdomain = "ap-south.api"
ip_address = "192.0.2.20"
}
}
}
resource "cloudflare_record" "regional" {
for_each = var.regions
zone_id = var.zone_id
name = each.value.subdomain
value = each.value.ip_address
type = "A"
ttl = 300
}
output "regional_dns" {
value = {
for k, v in cloudflare_record.regional : k => {
fqdn = v.hostname
ip = v.value
}
}
}
Common Pitfalls
1. Incomplete Subdomain Coverage for Multi-SAN Certificates
Problem: Creating A record only for apex domain, missing subdomains included in certificate
# Certificate request includes 3 domains:
certbot certonly -d example.com -d www.example.com -d blog.example.com
# But DNS only has:
example.com A 203.0.113.10 ✓
www.example.com A 203.0.113.10 ✓
blog.example.com (missing) ✗
# Result: HTTP-01 validation fails for blog.example.com
Solution: Create A records for ALL domains in certificate
example.com 300 IN A 203.0.113.10
www.example.com 300 IN A 203.0.113.10
blog.example.com 300 IN A 203.0.113.10
2. Inconsistent TTL Values Causing Propagation Issues
Problem: Mixed TTL values cause unpredictable caching behavior
# WRONG - Inconsistent TTLs
example.com 3600 IN A 203.0.113.10 # 1 hour
www.example.com 86400 IN A 203.0.113.10 # 24 hours
# During IP migration:
# - example.com propagates in 1 hour
# - www.example.com takes 24 hours
# - Certificate validation inconsistent during migration window
Solution: Consistent TTL across related records
# CORRECT - Uniform TTL strategy
example.com 300 IN A 203.0.113.10
www.example.com 300 IN A 203.0.113.10
api.example.com 300 IN A 203.0.113.20
# All use TTL 300 for consistent caching behavior
TTL Strategy for Migrations:
# Phase 1: Reduce TTL (24 hours before migration)
example.com 60 IN A 203.0.113.10 # Old IP, short TTL
# Phase 2: Wait for old TTL to expire (24-48 hours)
# Phase 3: Update IP (migration day)
example.com 60 IN A 198.51.100.10 # New IP, short TTL
# Phase 4: Stabilization period (1 week)
example.com 60 IN A 198.51.100.10 # Keep short TTL
# Phase 5: Increase TTL after stable
example.com 1800 IN A 198.51.100.10 # Increase to 30 minutes
3. Public Suffix List Complications with Dynamic DNS
Problem: Dynamic DNS providers (myasustor.com, duckdns.org) are on Public Suffix List
# Dynamic DNS hostname: mynas.myasustor.com
# Problem: Cannot issue certificate for *.myasustor.com
# Reason: myasustor.com is on Public Suffix List
# Certificate authorities treat mynas.myasustor.com as a "public suffix"
# Cannot issue wildcard *.myasustor.com
Solutions:
Option 1: Use custom domain
# Instead of: mynas.myasustor.com
# Use: nas.yourdomain.com (CNAME to mynas.myasustor.com)
nas.yourdomain.com 300 IN CNAME mynas.myasustor.com.
# Now you control yourdomain.com and can issue certificates
Option 2: Use DNS-01 challenge
# DNS-01 allows validation even for dynamic DNS
certbot certonly --manual --preferred-challenges dns \
-d mynas.myasustor.com
Option 3: DuckDNS integration
# DuckDNS provides Let's Encrypt integration
# Update DuckDNS with your server IP
curl "https://www.duckdns.org/update?domains=yourdomain&token=YOUR_TOKEN&ip=203.0.113.10"
# Then use certbot with HTTP-01
certbot certonly --standalone -d yourdomain.duckdns.org
4. Split-Brain Infrastructure Without Intent
Problem: Apex and www pointing to different servers unintentionally
# WRONG - Unintentional split
example.com 300 IN A old_server_ip # Forgotten old config
www.example.com 300 IN A new_server_ip # Recent update
# Users see different content depending on whether they use apex or www
# Certificate validation may succeed on one but fail on the other
Symptoms:
$ curl http://example.com
# Returns old server content
$ curl http://www.example.com
# Returns new server content
# Certificate on new server, ACME validation fails for apex
Solution: Audit and align A records
# CORRECT - Consistent IP mapping
example.com 300 IN A 203.0.113.10
www.example.com 300 IN A 203.0.113.10
# Verification script
apex_ip=$(dig +short example.com)
www_ip=$(dig +short www.example.com)
if [ "$apex_ip" != "$www_ip" ]; then
echo "WARNING: Split-brain DNS detected"
echo "Apex: $apex_ip"
echo "WWW: $www_ip"
fi
Best Practices
1. TTL Strategy by Environment and Use Case
Production (Stable Services)
# Higher TTL reduces DNS query load, improves global performance
example.com 1800 IN A 203.0.113.10 # 30 minutes
www.example.com 1800 IN A 203.0.113.10
api.example.com 1800 IN A 203.0.113.20
# Benefit: Reduced DNS query costs, faster resolution
# Trade-off: Slower propagation if IP changes needed
Migration/Maintenance Window
# Lower TTL enables faster infrastructure changes
example.com 300 IN A 203.0.113.10 # 5 minutes
www.example.com 300 IN A 203.0.113.10
# Benefit: Changes propagate quickly (5-15 minutes)
# Use case: Server migrations, failover scenarios
Development/Testing
# Very low TTL for rapid iteration
dev.example.com 60 IN A 203.0.113.50 # 1 minute
staging.example.com 60 IN A 203.0.113.51
# Benefit: Instant propagation for testing
# Trade-off: Higher DNS query load
ACME Certificate Operations
# Moderate TTL during certificate issuance/renewal
example.com 300 IN A 203.0.113.10 # 5 minutes
# Allows quick DNS adjustments if HTTP-01 validation issues discovered
# After certificate stable, can increase to 1800-3600
2. Record Consistency Validation
Automated Consistency Check
#!/bin/bash
# Check A record consistency across apex and subdomains
DOMAIN="example.com"
apex_ip=$(dig +short "$DOMAIN" @8.8.8.8)
www_ip=$(dig +short "www.$DOMAIN" @8.8.8.8)
if [ "$apex_ip" == "$www_ip" ]; then
echo "✓ A records consistent: $apex_ip"
else
echo "✗ A record mismatch detected"
echo " Apex: $apex_ip"
echo " WWW: $www_ip"
echo " This may cause ACME validation issues"
exit 1
fi
Multi-Domain Consistency Audit
import dns.resolver
def audit_dns_consistency(domains):
"""Verify all related domains point to same IP"""
ips = {}
for domain in domains:
try:
answers = dns.resolver.resolve(domain, 'A')
ips[domain] = str(answers[0])
except Exception as e:
ips[domain] = f"ERROR: {e}"
# Check consistency
unique_ips = set([ip for ip in ips.values() if not ip.startswith("ERROR")])
if len(unique_ips) > 1:
print("WARNING: Inconsistent A records detected")
for domain, ip in ips.items():
print(f" {domain} → {ip}")
return False
print(f"✓ All domains resolve to: {list(unique_ips)[0]}")
return True
# Usage
domains = ["example.com", "www.example.com", "app.example.com"]
audit_dns_consistency(domains)
3. Health Monitoring for A Records
Prometheus DNS Monitoring
# blackbox_exporter configuration for A record monitoring
modules:
dns_a_record:
prober: dns
dns:
query_name: "example.com"
query_type: "A"
validate_answer_rrs:
fail_if_not_matches_regexp:
- "203\\.0\\.113\\.10" # Expected IP pattern
Continuous DNS Monitoring
#!/bin/bash
# Continuous A record monitoring for ACME infrastructure
DOMAINS=("example.com" "www.example.com" "api.example.com")
EXPECTED_IPS=("203.0.113.10" "203.0.113.10" "203.0.113.20")
CHECK_INTERVAL=300 # 5 minutes
while true; do
for i in "${!DOMAINS[@]}"; do
domain="${DOMAINS[$i]}"
expected="${EXPECTED_IPS[$i]}"
current=$(dig +short "$domain" @8.8.8.8 | head -n1)
if [ "$current" != "$expected" ]; then
echo "ALERT: A record mismatch for $domain"
echo " Expected: $expected"
echo " Current: $current"
# Send alert
curl -X POST "https://monitoring.example.com/alert" \
-d "domain=$domain&expected=$expected¤t=$current"
fi
done
sleep $CHECK_INTERVAL
done
4. Infrastructure as Code Best Practices
Version Control All DNS Changes
# Store in Git: terraform/dns/example.com.tf
# All changes go through PR review
# Deployment via CI/CD pipeline
terraform {
backend "s3" {
bucket = "company-terraform-state"
key = "dns/example.com"
region = "us-east-1"
}
}
# A records are infrastructure, not configuration
# Treat with same rigor as server provisioning
Prevent Manual DNS Changes
# Enforce IaC-only changes through DNS provider permissions
# Remove manual DNS edit access from ops team
# All changes must go through Terraform/Ansible
# AWS Route53 IAM policy (restrict to automation only)
{
"Effect": "Allow",
"Action": "route53:ChangeResourceRecordSets",
"Resource": "arn:aws:route53:::hostedzone/*",
"Condition": {
"StringEquals": {
"aws:PrincipalTag/automation": "terraform"
}
}
}
5. Geographic Distribution Patterns
GeoDNS for Regional Traffic Routing
# Route53 geolocation routing (not simple A records)
# North America traffic
example.com 300 IN A 203.0.113.10 (geolocation: NA)
# Europe traffic
example.com 300 IN A 198.51.100.10 (geolocation: EU)
# Asia Pacific traffic
example.com 300 IN A 192.0.2.10 (geolocation: AP)
# Each region needs its own certificate with ACME automation
Global Load Balancer Pattern
# Single A record to global load balancer (Cloudflare, AWS Global Accelerator)
example.com 300 IN A 104.16.x.x # GLB anycast IP
# GLB routes to nearest region
# Certificate management centralized or per-region
Operational Checklist
Before implementing A records for ACME infrastructure:
- [ ] Define A record strategy (single server, multi-server, multi-region)
- [ ] Configure A records for apex domain (@)
- [ ] Configure A records for www subdomain
- [ ] Configure A records for all subdomains in certificate SAN list
- [ ] Ensure consistent TTL values across related records (300-1800s recommended)
- [ ] Verify A records resolve correctly from multiple public DNS resolvers
- [ ] Test HTTP connectivity to all resolved IP addresses
- [ ] Implement Infrastructure-as-Code for A record management (Terraform/Ansible)
- [ ] Configure version control for DNS changes
- [ ] Set up automated consistency checks (apex vs www)
- [ ] Implement A record change monitoring and alerting
- [ ] Document A record inventory and ownership
- [ ] Create DNS change management procedures
- [ ] Test A record failover procedures
- [ ] Configure backup DNS provider (secondary nameservers)
- [ ] Verify Public Suffix List status for dynamic DNS
- [ ] Document TTL reduction procedures for migrations
- [ ] Implement pre-migration A record validation
- [ ] Create runbook for A record emergency changes
- [ ] Set up automated DNS propagation verification
Related Documentation
ACME Operations: - Operating ACME Clients Overview - Section navigation - X.509 Certificate Verification - Certificate validation - Certbot Renewal Automation - Renewal patterns - DNS-01 Challenge Validation - DNS TXT records for validation - A Record Configuration - ACME-specific troubleshooting - DNS A Record Implementation (this page) - Infrastructure patterns - HTTP-01 Challenge Validation (coming) - HTTP-01 requiring proper A records
Infrastructure: - Certificate-as-Code - Infrastructure-as-Code patterns - Multi-Cloud PKI - Certificates across cloud providers - High Availability & Disaster Recovery - Failover patterns
Operations: - Certificate Lifecycle Management - Complete lifecycle - Monitoring and Alerting - Infrastructure monitoring
Troubleshooting: - Common Misconfigurations - Including DNS issues - Chain Validation Errors - Post-issuance problems
This comprehensive guide provides Infrastructure-as-Code patterns, multi-region strategies, and enterprise automation for A record implementation that supports scalable ACME certificate operations across diverse infrastructure environments.