Setting up AWS SES can be done through the AWS Console or through Infrastructure as Code. On the surface, both approaches accomplish the same goal: configuring email infrastructure. In reality, the difference between these methods becomes significant as systems grow and teams scale.
Manual configuration through AWS Console works well initially. Resources are created through visual interfaces, settings are adjusted through forms, and changes happen immediately. For a single domain or simple email setup, this approach feels fast and straightforward.
Then complexity starts increasing.
"Infrastructure becomes risky when configuration exists only in the console and someone's memory."
One of the biggest problems with manual AWS SES setup is repeatability. Adding a second domain means recreating the same configuration steps manually. MX records must be added again, DKIM tokens need manual configuration, Lambda functions require individual setup, and S3 policies must be recreated through the console.
Over time, this creates inconsistency across domains and environments.
Common issues with manual SES configuration usually include:
Domain setup inconsistency
Missing DNS records
Undocumented configuration changes
Difficult disaster recovery
Team knowledge dependencies
Manual configuration also makes recovery significantly harder. If SES resources need to be recreated, every setting must be remembered and reconfigured manually. Documentation often becomes outdated because console changes happen faster than documentation updates.
This is where Infrastructure as Code changes everything.
Infrastructure as Code moves AWS SES configuration into version-controlled Terraform files. Instead of clicking through console interfaces, resources are defined declaratively through code. The same configuration can be applied repeatedly across multiple domains or environments without manual repetition.
A typical Terraform-based SES setup manages:
Domain identities and verification
DKIM configuration automatically
Route53 DNS records (MX, TXT, CNAME)
Custom MAIL FROM domains
Lambda functions for email processing
S3 buckets and policies
Receipt rules and rule sets
All of this becomes repeatable, version-controlled, and auditable.
One major advantage is multi-domain management. With Terraform, adding support for a second or third domain requires minimal code changes:
variable "ses_domains" {
default = ["domain1.com", "domain2.com"]
}
resource "aws_ses_domain_identity" "domains" {
for_each = toset(var.ses_domains)
domain = each.value
}This single block automatically creates domain identities, DKIM tokens, and DNS records for every domain listed. Adding a fourth domain means adding one line to the variable list.
Manual setup would require repeating dozens of console clicks for each new domain.
Another critical benefit is configuration consistency. When DNS records are managed through Terraform, every domain receives identical authentication setup. DKIM records are configured correctly, SPF records match specifications, and Custom MAIL FROM domains follow the same pattern automatically.
Manual console work often leads to small configuration differences that cause authentication failures or deliverability problems later.
Disaster recovery becomes significantly simpler with Infrastructure as Code. If AWS resources need recreation, running terraform apply rebuilds the entire email infrastructure automatically from configuration files. No manual clicking, no forgotten settings, no missing DNS records.
The configuration already exists in version control. Recovery becomes automated rather than manual emergency work.
Team collaboration also improves dramatically. Infrastructure changes can be reviewed through pull requests before applying. Configuration mistakes are caught during code review rather than discovered in production. New team members understand infrastructure by reading Terraform files instead of depending on tribal knowledge.
Manual console-based infrastructure creates knowledge silos because configuration exists only in AWS accounts and personal documentation.
Infrastructure as Code also enables environment parity. Development and staging email infrastructure can match production configuration exactly because the same Terraform code applies across environments. This catches configuration problems before production deployment.
Manually maintaining identical configurations across multiple environments becomes increasingly difficult as complexity grows.
Cost visibility improves when infrastructure is defined through code. Terraform configuration clearly shows resource counts, Lambda memory allocations, and S3 storage policies. Teams can estimate infrastructure costs by reviewing code rather than exploring console interfaces.
Security and compliance benefit from Infrastructure as Code workflows. IAM policies, S3 bucket permissions, and Lambda execution roles are explicitly defined in version-controlled files. Security reviews happen during code review rather than after deployment.
Console-based configuration makes security auditing significantly harder because permissions often evolve through incremental manual changes.
Manual setup still has one advantage: immediate feedback. Console changes take effect instantly, making troubleshooting and experimentation faster during initial development. Infrastructure as Code requires plan/apply cycles that add slight delays.
However, this advantage disappears quickly as infrastructure matures. The initial time investment in writing Terraform configuration pays back significantly through repeatability, consistency, and operational efficiency.
A practical comparison for a two-domain email setup:
Manual Console Approach:
~2 hours per domain (4 hours total)
Requires documentation maintenance
Configuration drift likely over time
Adding third domain: another 2 hours
Disaster recovery: manual rebuild (hours)
Infrastructure as Code Approach:
~4 hours initial Terraform development
Adding second domain: 5 minutes (update variable)
Adding third domain: 5 minutes
Disaster recovery: automated (minutes)
Configuration always documented in code
The Infrastructure as Code approach requires higher initial investment but scales significantly better.
Modern DevOps practices emphasize automation, repeatability, and consistency. AWS SES infrastructure managed through Terraform aligns perfectly with these principles. Manual console work may feel faster initially, but infrastructure defined as code becomes dramatically more maintainable as systems grow.
Reliable email infrastructure is not built through console clicking. It is built through automated, version-controlled, repeatable processes that remain consistent across domains, environments, and time.