Zero-downtime cloud migration and optimization
ScaleUp Commerce was losing revenue during peak sales events because their on-premise servers could not handle the traffic. We migrated them to AWS with zero downtime and dramatically lower costs.
0
downtime minutes
60%
cost reduction
3x
peak capacity
The Challenge
What ScaleUp Commerce was facing
The on-premise infrastructure consisted of a single load-balanced pair of application servers and one primary database server with a cold standby - no auto-scaling capability.
During flash sales and holiday peaks, response times spiked to 8-12 seconds. The site effectively became unusable, and the company estimated $180,000 in lost revenue during the previous Black Friday alone.
The ops team managed infrastructure manually: provisioning new capacity took days of lead time, and there was no infrastructure-as-code, no automated deployments, and no centralized logging.
The database had grown to 2TB with no partitioning strategy, and full-table scans on the product catalog query were a primary performance bottleneck.
Our Approach
How we solved it
We designed a phased migration plan: first the static assets and CDN layer, then the application servers, then the database - each phase validated independently before proceeding to the next.
The application was containerized with Docker and deployed on ECS Fargate with auto-scaling policies tied to CPU utilization and request count. During traffic spikes, new containers spin up in under 30 seconds.
We migrated the 2TB PostgreSQL database to RDS with read replicas, implemented table partitioning on the product catalog and order history tables, and added Elasticsearch for product search - cutting average query time by 85%.
CloudFront CDN handles static assets and product images, reducing origin load by 70% and cutting page load times for international customers from 4 seconds to under 1 second.
Key Features
What we delivered
Zero-Downtime Migration
The entire platform was migrated from on-premise to AWS without a single minute of downtime, using DNS-based traffic shifting and parallel environments.
Auto-Scaling Infrastructure
ECS Fargate containers scale from 4 to 40 instances automatically based on traffic, handling 3x previous peak capacity without manual intervention.
Database Optimization
Table partitioning, read replicas, and Elasticsearch integration reduced average product query time from 1.2 seconds to 180 milliseconds.
CDN and Edge Caching
CloudFront serves static assets and product images from 40+ global edge locations, cutting international page load times by 75%.
Infrastructure as Code
The entire AWS environment is defined in Terraform, enabling reproducible deployments, disaster recovery, and environment parity between staging and production.
Centralized Observability
CloudWatch, X-Ray, and custom dashboards provide real-time visibility into application performance, error rates, and infrastructure costs.
Our Process
How we got there
Infrastructure Audit
We documented every server, service, cron job, and integration in the on-premise environment, identifying dependencies and migration priorities.
Containerization
We containerized the application with Docker, created CI/CD pipelines with GitHub Actions, and validated the containerized app against the production workload in a staging environment.
CDN and Static Asset Migration
We moved all static assets to S3 + CloudFront first, reducing origin server load immediately and validating the CDN configuration under real traffic.
Application Migration
We deployed the containerized application on ECS Fargate, configured auto-scaling, and shifted traffic from on-premise to AWS using weighted DNS routing over 48 hours.
Database Migration
We used AWS DMS for continuous replication from the on-premise database to RDS, validated data integrity, then cut over read traffic to replicas and finally the primary.
Results
Measurable outcomes
Zero Downtime
The complete migration from on-premise to AWS was executed with zero minutes of downtime, validated by continuous synthetic monitoring throughout the transition.
60% Cost Reduction
Monthly infrastructure costs dropped from $14,200 to $5,700 through right-sizing, reserved instances, and eliminating the overhead of on-premise hardware maintenance.
3x Peak Capacity
The auto-scaling infrastructure handled 3x the previous peak traffic during the first post-migration flash sale without any performance degradation.
Technology Stack
What we used
Cloud Platform
Infrastructure as Code
Data & Search
Monitoring
Migration Tools
Business Impact
The bigger picture
The migration paid for itself within four months through infrastructure cost savings alone. More importantly, ScaleUp ran its most successful Black Friday ever on the new platform - processing 3.2x their previous peak transaction volume with zero performance incidents. The engineering team now ships features weekly instead of monthly, thanks to the CI/CD pipeline and infrastructure-as-code foundation.
“We handled our biggest sale ever on the new infrastructure without a single performance issue. CareOnix delivered exactly what they promised.”
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