Client Overview
Our client is a small but ambitious team preparing to launch a cloud-based application. They wanted to set up the right foundation from day one—a secure, scalable, and cost-optimized cloud environment—so their developers could focus on product features instead of infrastructure headaches.
Problem Statement
The client had no prior cloud infrastructure. Their challenges included:
- No defined architecture for scalability and high availability.
- Risk of manual setup errors without automation.
- Lack of a CI/CD process for efficient releases.
- Unclear cost monitoring and budget visibility.
- Absence of proactive monitoring and alerting.
Without a structured solution, their application risked downtime, unpredictable costs, and delayed feature delivery.
Requirement Gathering
Through detailed discussions with the client’s development and operations team, we identified the following goals:
- Infrastructure-as-Code to standardize and simplify provisioning.
- High availability across multiple AZs.
- Secure networking with strict IAM policies.
- Automated CI/CD pipelines for deployments.
- Cloud monitoring with centralized dashboards.
- Cost visibility with budgets and alerts.
Our Approach
We proposed an AWS-native architecture with Terraform-based IaC and GitHub Actions for CI/CD.
Multi-Tier Architecture
VPC with public/private subnets, NAT Gateways, and Security Groups.
Automation
Terraform templates for consistent resource provisioning.
Scalability
ALB + EC2 Auto Scaling Groups with Lambda for event-driven tasks.
Resilience
Multi-AZ RDS deployment with failover.
Monitoring
CloudWatch dashboards, alarms, and X-Ray tracing.
Cost Governance
AWS Budgets with alerts and tagging strategy.
Implementation (Step by Step)
Networking
- Designed VPC with multiple subnets across AZs.
- Configured Internet Gateway, NAT Gateways, and routing.
Compute Layer
- Deployed EC2 instances in Auto Scaling Groups.
- Attached Application Load Balancer for traffic distribution.
Storage & Database
- Provisioned Amazon RDS (Multi-AZ) for relational data.
- Configured S3 for static content, backups, and logs.
Security
- Applied IAM roles, Security Groups, and KMS encryption.
- Secrets stored in AWS Secrets Manager.
CI/CD
- Configured GitHub Actions to build, test, and deploy code.
- Rollback strategies included for safe deployments.
Monitoring & Alerts
- Created CloudWatch dashboards for metrics and API performance.
- Set CloudWatch alarms for critical thresholds.
Cost Management
- Applied tagging across all resources.
- Enabled AWS Budgets and cost alerts.
Outcome & Business Impact
Future-Ready Infrastructure
A secure, scalable AWS foundation designed with best practices from day one.
Automated Deployments
CI/CD pipelines reduced manual involvement, speeding up releases.
Improved Reliability
Multi-AZ design and auto scaling ensured resilience and uptime.
Proactive Monitoring
Dashboards and alerts provided visibility into system health and business KPIs.
Cost Optimization
Budgets and tagging ensured predictable cloud spend and reduced waste.
Faster Time to Market
The development team can now focus entirely on building features.
Technologies Used
AWS
Terraform (IAC)
GitHub Actions
AWS KMS
Secrets Manager
