System Reliability Project: Achieving 99.999% Uptime

A major enterprise, with significant annual revenue, had issues with persistent downtime on their key public-facing system. Kult.io developed and implemented a robust deployment process solution. This project resulted in 99.999% availability, securing company reputation and business operations.

Engagement

Client
Large Enterprise Company
Industry
Diversified Public Services
Core challenge
Daily system downtime on critical landing page, affecting sales and client information access.

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:

  1. 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.

  2. 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.

  3. 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:

Tell us what your team keeps doing by hand.

Thirty minutes, no charge. You leave with an honest read on whether it is worth automating.