Cloud-Native Infrastructure Deployment with AWS CloudFormation by HabileLabs
About the Customer
Wonder Finance is an emerging leader in the FinTech space, offering secure and digital-first financial products to both individual and enterprise customers. As the company scaled rapidly across regions, it needed to standardize its cloud infrastructure and ensure consistent application of security, compliance, and observability practices across environments.
Customer Challenge
Wonder Finance was running workloads on AWS but faced increasing challenges due to manual infrastructure provisioning, inconsistent resource configurations, and a lack of real-time visibility. The customer required a solution that could:
- Automate the deployment of secure and scalable cloud environments
- Enforce security and compliance policies programmatically
- Provide real-time monitoring, alerting, and governance
- Enable rapid onboarding of new services and teams
Why AWS
Wonder Finance selected AWS as their cloud platform of choice for its proven security, scalability, and breadth of managed services. AWS CloudFormation was identified as the optimal tool to implement Infrastructure-as-Code (IaC) due to its tight integration with AWS services, support for automation, and template versioning capabilities.
Why HabileLabs
Habilelabs, an AWS Advanced Tier Services Partner, was chosen for its deep expertise in AWS CloudFormation and experience working with regulated industries. HabileLabs provided a tailored, security-first, and fully automated infrastructure deployment solution aligned with AWS best practices and the Well-Architected Framework.
Solution Offered by HabileLabs
HabileLabs delivered a CloudFormation-based infrastructure platform using a modular template structure. Each template focused on a specific area such as security, monitoring, compliance, or core infrastructure. This design ensured reusability, easier troubleshooting, and the ability to deploy across multiple environments (dev, staging, and prod) in a controlled, repeatable manner.
Modular CloudFormation Templates Implemented:
1. rcmt-stack-wonderhome.yaml
- Provisions baseline infrastructure including IAM roles, CloudTrail, encrypted S3 buckets, and KMS keys.
- Enables centralized audit logging and foundational governance policies.
2. whf-config-1.yaml
- Implements AWS Config rules to enforce security controls such as encrypted EBS/RDS, non-public S3, and restricted network ports.
3. whf-config-2.yaml
- Defines IAM governance including password complexity, MFA on root, and wildcard action prevention.
4. Guardduty.yaml
- Enables GuardDuty threat detection across accounts to monitor for suspicious network traffic and API activity.
5. WHF-Best-practices-Alarms.yaml
- Deploys CloudWatch Alarms for EC2, RDS, ELB, and Lambda based on AWS operational excellence standards.
6. Auto-Alarm-CFT.yaml
- Leverages Lambda-backed custom resource to automatically generate alarms for newly provisioned resources such as EC2 or RDS.
Architecture Highlights
- Multi-AZ deployment strategy for high availability
- Public/private subnet separation with NAT Gateway
- Secure IAM role delegation with least privilege
- Automated tagging and resource labeling for auditing
- Integration with SNS for alarm notifications
- Template validation using cfn-lint and drift detection
Business Outcomes
- Reduced infrastructure deployment time by over 80%
- Achieved security-by-design with fully automated policy enforcement
- Real-time visibility into infrastructure health and anomalies
- Enabled CI/CD integration and developer autonomy
- Met internal compliance and security audit standards
AWS Services Used
AWS CloudFormation, AWS Lambda, Amazon EC2, Amazon RDS, Amazon S3, Amazon CloudWatch, AWS IAM, Amazon SNS, AWS Config, AWS GuardDuty, AWS CloudTrail, AWS KMS
About HabileLabs
Habilelabs is an AWS Advanced Tier Services Partner with proven experience in infrastructure-as-code, DevOps, and cloud security. We help customers in regulated and rapidly scaling industries architect, implement, and automate modern cloud-native solutions using AWS best practices.
