Fargate-based AWS migration with full CI/CD pipeline.
A HealthTech SaaS platform needed to scale beyond their single-server setup. We migrated their testing environment to containerized AWS Fargate with automated deployments and comprehensive monitoring.
The short version.
Indoor Doctor is a HealthTech SaaS platform for indoor air quality monitoring and building health management. Their application was running on a single EC2 instance with manual deployments. Every release required SSH access, manual Docker commands, and prayer that nothing broke.
We migrated their cloud infrastructure to AWS Fargate with a complete CI/CD pipeline, containerized architecture, auto-scaling, and comprehensive monitoring. Deployments went from 2-hour manual processes to 15-minute automated pipelines. Infrastructure costs dropped 60% through right-sizing and spot capacity.
Single-server architecture can’t support growth.
Indoor Doctor had built a solid product but their infrastructure was a bottleneck to growth. As they prepared for enterprise sales, several critical issues needed resolution:
- Single point of failure: one EC2 instance running everything; any failure took the entire platform offline
- Manual deployments: SSH into the server, pull code, rebuild Docker containers, restart services. 2+ hours per release
- No staging environment: changes were tested directly in production, causing occasional outages
- Over-provisioned resources: running a large EC2 instance 24/7 to handle occasional traffic spikes
- No monitoring: issues discovered when customers reported them, not through alerts
- Enterprise compliance gaps: potential enterprise clients required documented disaster recovery and uptime SLAs
The team needed infrastructure that could scale with their growing customer base and meet enterprise requirements, without hiring a dedicated DevOps engineer. They needed a custom software approach tailored to their specific platform.
Containerized, automated, observable.
We designed a cloud-native architecture on AWS that eliminated every manual step and single point of failure:
- AWS Fargate: serverless containers that auto-scale based on CPU/memory; no instances to manage or patch
- CI/CD with GitHub Actions: automated build, test, and deploy pipeline triggered on every PR merge
- Infrastructure as Code: entire infrastructure defined in Terraform; reproducible, version-controlled, auditable
- Multi-environment setup: isolated staging and production environments with identical configurations
- Application Load Balancer: health checks, SSL termination, and automatic failover across availability zones
- Comprehensive monitoring: CloudWatch dashboards, custom metrics, PagerDuty alerts, and distributed tracing
Fargate with auto-scaling and blue-green deploys.
The architecture uses ECS Fargate for compute, RDS for the database, ElastiCache for session storage, and S3 + CloudFront for static assets. Blue-green deployments ensure zero-downtime releases with instant rollback capability.
Fargate + blue-green deploys | 15min automated releases
Fargate Spot instances handle 70% of the workload at 70% discount, with on-demand instances as fallback. Combined with right-sized RDS instances and reserved capacity, total infrastructure costs dropped from $2,400/month to $960/month while handling 3× more traffic capacity.
“Deployments used to be a 2-hour anxiety session. Now we merge a PR and everything deploys automatically. Our infrastructure costs are lower and we can finally promise enterprise clients the uptime SLA they need.”
CTO, Indoor Doctor
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