https://github.com/thewizardofaws/amazon-connect-contact-center
IaC and DevOps for an Amazon Connect Contact Center architecture
https://github.com/thewizardofaws/amazon-connect-contact-center
Last synced: 5 months ago
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IaC and DevOps for an Amazon Connect Contact Center architecture
- Host: GitHub
- URL: https://github.com/thewizardofaws/amazon-connect-contact-center
- Owner: thewizardofaws
- License: mit
- Created: 2025-02-17T16:28:35.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-02-17T17:01:15.000Z (over 1 year ago)
- Last Synced: 2025-02-17T17:35:01.118Z (over 1 year ago)
- Language: HCL
- Size: 4.88 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
Awesome Lists containing this project
README
# Amazon Connect Contact Center Infrastructure as Code
[](https://aws.amazon.com/connect/)
[](https://www.terraform.io/)
[](LICENSE)
Terraform modules for deploying and managing Amazon Connect contact center infrastructure. Enables consistent, repeatable deployments with version-controlled infrastructure.
## Overview
[Amazon Connect](https://aws.amazon.com/connect/) is a cloud-based omnichannel contact center service. This repository provides reusable Terraform modules for:
* Connect instances
* Contact flows
* Queues
* IAM roles
* Lambda functions (e.g., transcription and sentiment analysis)
* S3 buckets for storage
## Quick Start
1. **Prerequisites**: AWS CLI configured with appropriate credentials and Terraform installed
2. **Clone**: `git clone `
3. **Configure**: Customize variables in `connect/terraform/variables.tf`
4. **Deploy**: Navigate to `connect/terraform/` and run `terraform init && terraform apply`
## Repository Structure
```
├── connect/terraform/ # Terraform root module
│ ├── modules/ # Reusable Terraform modules
│ │ ├── connect_instance/ # Amazon Connect instance
│ │ ├── contact_flow/ # Contact flow definitions
│ │ ├── queue/ # Contact queues
│ │ ├── iam_role/ # IAM roles and policies
│ │ ├── lambda_function/ # Lambda functions
│ │ └── s3_bucket/ # S3 bucket resources
│ └── main.tf # Root module configuration
├── lambda/ # Lambda function source code
│ └── transcribe_sentiment/ # Transcription and sentiment analysis
└── scripts/ # Deployment scripts
```
## Contributing
See [CONTRIBUTIONS.md](CONTRIBUTIONS.md) for guidelines.
## Security
See [CONTRIBUTIONS.md#security-issue-notifications](CONTRIBUTIONS.md#security-issue-notifications) for reporting security issues.
### Security Hardening
This infrastructure implements several security best practices:
#### IAM Security
- **Least Privilege**: IAM roles and policies follow the principle of least privilege, granting only necessary permissions
- **Service-Specific Roles**: Separate IAM roles for Connect, Lambda, and other services
- **Policy Validation**: All IAM policies are reviewed and validated before deployment
#### Data Protection
- **Encryption at Rest**: S3 buckets use server-side encryption (AES256) by default
- **Encryption in Transit**: All AWS API calls use TLS/SSL
- **S3 Bucket Policies**: Restrictive bucket policies limit access to authorized roles only
#### Network Security
- **Private Access**: Connect instances can be configured for private VPC connectivity
- **No Public Endpoints**: All resources are accessed through secure AWS endpoints
#### Monitoring and Logging
- **CloudWatch Logs**: All Lambda functions log to CloudWatch with 14-day retention
- **CloudWatch Alarms**: Automated monitoring with SNS notifications for critical events
- **Audit Trail**: All infrastructure changes are tracked through Terraform state
#### Best Practices
1. **Secrets Management**: Use AWS Secrets Manager or Parameter Store for sensitive data
2. **Regular Audits**: Review IAM policies and permissions quarterly
3. **Access Control**: Implement MFA for all AWS accounts
4. **Version Pinning**: Terraform providers and modules use version constraints
5. **State Encryption**: Ensure Terraform state files are stored in encrypted S3 buckets with versioning enabled
#### Compliance Considerations
- Ensure compliance with your organization's data retention policies
- Review and adjust S3 lifecycle rules based on regulatory requirements
- Implement data classification and tagging for compliance tracking
## Backup and Recovery
### Backup Strategy
#### Infrastructure State
- **Terraform State**: Stored in versioned S3 bucket (recommended: enable versioning and encryption)
- **State Locking**: Use DynamoDB for state locking to prevent concurrent modifications
- **State Backups**: Regularly backup Terraform state files before major changes
#### Data Backups
- **S3 Bucket Versioning**: Enabled by default for call recordings bucket
- **S3 Lifecycle Policies**: Configured to retain versions and manage storage costs
- **Cross-Region Replication**: Consider enabling for critical recordings (manual configuration)
#### Configuration Backups
- **Contact Flows**: Stored as JSON files in `connect/contact_flows/` directory
- **Terraform Configurations**: All infrastructure code is version-controlled in Git
- **Variable Files**: Environment-specific configurations stored in `.tfvars` files
### Recovery Procedures
#### Infrastructure Recovery
1. **Full Infrastructure Restore**:
```bash
terraform init
terraform plan -var-file=.tfvars
terraform apply -var-file=.tfvars
```
2. **State File Recovery**:
- Restore from S3 versioning if state file is corrupted
- Import existing resources if state is lost:
```bash
terraform import .
```
#### Data Recovery
1. **S3 Object Recovery**:
- Use S3 versioning to restore previous versions
- Use S3 cross-region replication if enabled
- Restore from backups if automated backups are configured
2. **DynamoDB Recovery**:
- Use point-in-time recovery (PITR) if enabled
- Restore from DynamoDB backups
#### Disaster Recovery Planning
1. **RTO/RPO Objectives**: Define Recovery Time Objective (RTO) and Recovery Point Objective (RPO)
2. **Multi-Region Setup**: Consider deploying to multiple AWS regions for high availability
3. **Documentation**: Maintain runbooks for common recovery scenarios
4. **Testing**: Regularly test backup and recovery procedures
#### Backup Verification
- **Monthly Checks**: Verify Terraform state backups
- **Quarterly Tests**: Perform full infrastructure recovery tests
- **Monitoring**: Set up CloudWatch alarms for backup failures
### Recovery Contacts
- **Infrastructure Team**: [Your team contact]
- **AWS Support**: Escalate critical issues through AWS Support
- **On-Call Rotation**: Ensure 24/7 coverage for production environments
## Resources
* [AWS AMER Resources - Re:Invent Your Contact Center with Amazon Connect](https://amer.resources.awscloud.com/contact-center/maximizing-amazon-connect-cl-evaluation-technical)
* [AWS GitHub Repos for Amazon Connect](https://github.com/amazon-connect)
* [Terraform AWS Provider Documentation](https://registry.terraform.io/providers/hashicorp/aws/latest/docs)
* [Amazon Connect Best Practices](https://docs.aws.amazon.com/connect/latest/adminguide/best-practices.html)
## License
MIT-0 License. See [LICENSE](LICENSE).