The Issue: System Downtime and Business Impact
The client's primary system, the access point for all public sites and key product information, had frequent outages. These incidents, occurring nearly every day for short periods, created problems: negative public perception, lost sales, and client frustration from inability to access important application information. The existing auto-scaled AWS environment was not performing under this pressure, requiring an immediate, expert solution.
Our Solution: Modernized Deployment Process for System Resilience
Our analysis identified key inefficiencies in the instance startup and deployment process within the auto-scaled environment. The main issue was a full application installation on every new instance, without a correctly configured auto-scaling grace period. Our solution involved several technical improvements:
- 01
Optimized Amazon Machine Images (AMIs)
We implemented the use of AMIs with all application dependencies pre-installed. This greatly reduced instance launch times, providing a foundation for a rapid-response infrastructure.
- 02
Automated Deployments with AWS CodeDeploy
The application deployment process was re-engineered using AWS CodeDeploy. This ensured consistent, automated updates, reducing manual errors and improving overall deployment time and system reliability.
- 03
Intelligent Auto-Scaling Group Configuration
We recalibrated the auto-scaling group's health check grace period and scaling policies. This ensured new instances were fully operational before receiving traffic, preventing issues with unready instances.
Project Outcomes: System Stability and Performance
- Sustained System Availability
- 99.999%Sustained System Availability
- Unplanned System Downtime Post-Implementation
- ZeroUnplanned System Downtime Post-Implementation
- Client Access & Company Reputation
- ImprovedClient Access & Company Reputation
This technical solution delivered significant improvements in system stability and operational performance for the company: