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Infrastructure99.9% ImpactClient: Gufhtugu.com

Gufhtugu.com

Designed and deployed an auto-scaling EC2 fleet fronted by Application Load Balancers with managed S3 storage and CloudWatch alerts.

Primary MetricConsistent 99.9% uptime during viral traffic spikes
Reliability SLAAutomated instance scaling based on CPU and request count
Architecture StandardMulti-AZ & IaC

01The Architecture Challenge

Traffic surges during content releases caused server saturation and degraded performance.

Key Technical Pain Points Addressed:

  • High operational risk of service disruption during production cutover.
  • Over-provisioned compute resources driving unnecessary cloud expenditure.
  • Lack of declarative configuration management and GitOps workflows.

02The Implemented Engineering Solution

Designed and deployed an auto-scaling EC2 fleet fronted by Application Load Balancers with managed S3 storage and CloudWatch alerts.

Consistent 99.9% uptime during viral traffic spikes
Automated instance scaling based on CPU and request count
Zero manual server intervention needed during campaigns
Comprehensive CloudWatch dashboard and alarm triggers

03Applied Technologies & Toolchains

AWS EC2ALBAuto ScalingCloudWatchAmazon S3RDS MySQL
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Client Organization:Gufhtugu.com
Domain / Industry:Infrastructure
Delivery Timeline:Production Verified

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