We build SaaS products on AWS with production-grade cloud infrastructure — ECS or EKS for container orchestration, RDS Aurora for multi-tenant databases, Cognito for managed authentication, Application Load Balancers with auto-scaling, and Infrastructure as Code with CDK or CloudFormation. Every component is designed for 99.99% availability, automatic failover, cost optimization, and multi-region expansion. Your SaaS runs on the same cloud platform that powers Netflix, Airbnb, and Slack.
INR 2000
Per Hour
30+
SaaS Products Built
4.9/5
Client Rating
<4 Weeks
MVP Delivery
Trusted by businesses worldwide
Production-grade AWS architecture for SaaS products that need high availability, security, and cost efficiency
We deploy your SaaS on ECS Fargate for serverless container management or EKS for Kubernetes-based orchestration when you need advanced scheduling, service mesh, and multi-cloud portability. Services run in private subnets with Application Load Balancers distributing traffic, health checks restarting unhealthy containers, and task definitions specifying exact CPU, memory, and environment configurations. Blue-green deployments ensure zero-downtime releases with automatic rollback on failure.
Your SaaS data lives in Amazon Aurora PostgreSQL or MySQL with multi-AZ failover, automated backups with point-in-time recovery, and read replicas for scaling read-heavy workloads. We configure connection pooling with RDS Proxy to handle thousands of concurrent database connections from your application containers. For multi-tenant SaaS, we implement schema-per-tenant or row-level security depending on your isolation requirements, with automated tenant provisioning that creates schemas and seeds initial data.
AWS Cognito handles user authentication with managed user pools, social identity providers (Google, Apple, Facebook), SAML 2.0 federation for enterprise SSO, and MFA enforcement. User pools are configured per-tenant or shared with tenant-scoped custom attributes. Cognito triggers (Lambda functions) customize signup flows, email templates, token claims, and pre-authentication checks. JWT tokens issued by Cognito integrate directly with API Gateway and ALB for zero-trust request authentication.
Application Auto Scaling adjusts your ECS task count or EKS pod replicas based on CPU utilization, memory usage, request count, or custom CloudWatch metrics. Target tracking policies maintain your desired utilization threshold while scaling policies define step functions for traffic spikes. Application Load Balancers route requests across availability zones with path-based routing for microservices, sticky sessions when needed, and WebSocket support for real-time features.
We architect for cost efficiency from the start — right-sizing ECS tasks based on actual utilization, using Spot instances for non-critical workloads and batch processing, configuring Aurora auto-scaling to scale down during low traffic, and implementing S3 lifecycle policies to tier storage from Standard to Infrequent Access to Glacier. We set up AWS Cost Explorer dashboards, budget alerts, and monthly cost reviews. Our clients typically see 30-40% cost reduction compared to naive provisioning.
Every piece of infrastructure is defined in AWS CDK with TypeScript — VPCs, subnets, security groups, ECS clusters, RDS instances, Cognito pools, S3 buckets, and IAM roles. Infrastructure deploys through CI/CD pipelines with change sets that preview modifications before applying them. Environments (development, staging, production) share the same CDK stacks with environment-specific parameters. This means your infrastructure is versioned, reproducible, peer-reviewed, and recoverable from any state.
Availability Target
Built-In
Cost Optimization
Ready
A structured 5-step process to build and deploy SaaS on AWS with production-grade infrastructure
Transparent pricing for AWS SaaS infrastructure at every scale
"Edesy architected our entire SaaS on AWS with ECS Fargate, Aurora PostgreSQL, and Cognito. The auto-scaling configuration handles our traffic spikes during business hours seamlessly — we scale from 4 to 20 containers automatically and back down at night. Our AWS bill is 35% lower than what we were paying on our previous provider because of the right-sizing and Spot instance strategy they implemented."
C
CTO
Technology at B2B Workflow SaaS
"The Infrastructure as Code setup with CDK is a game-changer. We can spin up a complete staging environment identical to production in 15 minutes, run our tests, and tear it down. Every infrastructure change goes through a pull request with a diff preview showing exactly what will change. We have complete confidence in our deployments because nothing is manually configured — everything is in code."
DL
DevOps Lead
Engineering at HealthTech SaaS Platform
"We needed multi-region deployment for our SaaS because our customers are in both the US and Europe, and GDPR required EU data to stay in EU regions. Edesy set up Aurora Global Database with a primary in us-east-1 and a read replica in eu-west-1, along with CloudFront for global edge caching. Our European customers see sub-100ms response times, and we are fully GDPR compliant with data residency controls."
VO
VP of Engineering
Engineering at Enterprise Data SaaS
Resources to help you evaluate and implement
Get a free consultation and detailed estimate for your AWS SaaS infrastructure. We will help you design the right architecture with ECS or EKS, configure auto-scaling and cost optimization, and deploy a production-grade cloud platform that scales reliably as your customer base grows.