As dedicated Medusa.js DevOps experts, we architect and operate enterprise-grade AWS infrastructure proven to perform at scale. From custom cloud design to CI/CD automation and 24/7 monitoring, we cover every layer of your store's infrastructure. u11d is a specialist Medusa.js DevOps team. We leverage deep Medusa knowledge and AWS expertise to deliver secure, scalable, and cost-efficient infrastructure—so your e-commerce platform stays fast, resilient, and ready to grow.
Designing robust AWS-based infrastructure for Medusa scalability and performance
Accelerating launches with automated and reliable CI/CD pipelines
Building systems that adapt and scale with your e-commerce needs
Fine-tuning resources for fast and efficient Medusa store operations
Implementing AWS safeguards like WAF and IAM to ensure a secure platform
Utilizing AWS tools to optimize performance while maintaining cost-effectiveness
We architect your Medusa store's AWS foundation from scratch—choosing the right ECS Fargate topology, VPC layout, RDS PostgreSQL tier, ElastiCache caching layer, and CloudFront distribution before a single resource is provisioned.
Every decision lands in Terraform code: version-controlled, peer-reviewed, and reproducible across dev, staging, and production from the first commit. No manual clicking in the AWS console, no undocumented configuration drift.
Running Medusa on a DigitalOcean droplet or a tangled mix of manual cloud resources? We migrate and re-architect your stack to AWS-native managed services—replacing single points of failure with ECS-managed containers, swapping manual DB backups for RDS automated snapshots, and adding ElastiCache where latency hurts most.
Every migration runs against a Terraform plan reviewed before any change is applied. Blue/green cutover keeps downtime to minutes, and post-migration k6 load tests confirm the new stack handles your real peak traffic—not just theoretical estimates.
We wire GitHub Actions and AWS CodePipeline into a fully automated release flow—build, lint, test, push to ECR, deploy to ECS with ALB health-check gating, and roll back automatically if a target group fails a health check. Every merge to main reaches staging within minutes.
Production releases use blue/green or rolling strategies so your Medusa storefront never goes offline during a deploy. CloudWatch alarms, Slack notifications, and deployment dashboards give full visibility at every step—your team always knows exactly what shipped and when.
ECS Service Auto Scaling adds capacity as traffic climbs and removes it when demand drops—keeping response times low during peak sales events without overspending on idle resources between them. An Application Load Balancer routes requests to healthy tasks only and bypasses anything that fails a health check.
RDS Multi-AZ and ElastiCache replication ensure your database and cache survive an availability-zone failure without manual intervention. We run regular failover drills so recovery is a proven, rehearsed process—not a fire drill during a Black Friday outage.
We right-size every ECS task and RDS instance against real traffic data, identify Fargate Spot candidates for non-critical workloads, and configure AWS Cost Explorer dashboards with budget alerts—so you always know exactly what is running and what it costs.
Reserved Instance recommendations, S3 lifecycle policies, and CloudFront cache-hit tuning typically cut monthly bills by 20–40% compared to an out-of-the-box setup, without sacrificing performance or availability.
We audit your existing setup—or start from a blank canvas—reviewing traffic patterns, container strategy, CI/CD maturity, and budget constraints to produce a concrete infrastructure plan before any build work begins.
We design the full AWS architecture: VPC topology, ECS Fargate service layout, RDS PostgreSQL and ElastiCache sizing, CloudFront distribution, S3 buckets, IAM roles, and Terraform module structure—reviewed and signed off before any resource is provisioned.
Terraform modules provision every resource. We containerize Medusa and Next.js via Docker, wire up RDS, Redis, and S3, configure GitHub Actions and AWS CodePipeline, and validate the stack with integration tests in a staging environment.
Blue/green or rolling ECS deployments go live with ALB health-check gating, CloudWatch alarms, and Slack notifications active from the first request. Rollback is automated—if a target group fails, the previous task set is restored without manual intervention.
We right-size ECS tasks against real load data, tune RDS query performance and connection pooling, adjust CloudFront cache policies, and identify Reserved Instance or Fargate Spot savings—typically delivering measurable cost and latency improvements within the first month.
CloudWatch alarms feed Slack and PagerDuty for 24/7 incident response. Monthly cost and performance reports keep you informed. Terraform state is managed and dependency updates applied on a regular cadence—keeping your infrastructure secure and current.
