Transforming Delivery Metrics: A Case Study on Stabilizing Software Systems

Discover how a leading e-commerce platform reduced MTTR and change failure rates, driving significant business outcomes.

Transforming our delivery metrics was not just about technology; it was about safeguarding our future.
Back to all posts

## The $50K Hallucination Your AI model just hallucinated in production, costing $50K in customer refunds. This scenario is not hypothetical; it reflects a critical failure that can cascade through your business, impacting customer trust and bottom-line revenue. For one leading e-commerce platform, such incidents were,

becoming alarmingly frequent. Their legacy systems, combined with a lack of real-time observability, resulted in prolonged downtime and significant financial losses. The stakes were high — without a robust strategy to address these issues, the company risked losing its competitive edge in a rapidly evolving market.

## Why This Matters Understanding the repercussions of legacy systems is crucial for engineering leaders. High change failure rates not only hinder velocity but also inflate costs associated with incident management. In this case, the e-commerce platform recorded an MTTR of over 12 hours for critical incidents, leading

to a staggering annual loss in revenue and customer loyalty. By modernizing their systems and implementing better observability practices, they could mitigate these risks, ultimately enhancing their service reliability and customer satisfaction.

## How to Implement It 1. **Assess Current Metrics**: Begin by evaluating your current MTTR and change failure rates. This provides a baseline to measure future improvements. 2. **Conduct a Modernization Audit**: Identify legacy components that pose the highest risk. Focus on those that frequently contribute to outages

or failures. 3. **Invest in Observability Tools**: Deploy tools that provide real-time insights into system performance. This allows for faster detection and resolution of issues. 4. **Automate Deployment Processes**: Implement CI/CD pipelines that reduce manual errors, ensuring safer and more efficient deliveries.

5. **Train Teams on Best Practices**: Foster a culture of continuous improvement by educating teams on modern development practices and the importance of observability.

Related Resources

Key takeaways

  • Prioritize modernization to reduce change failure rates and MTTR.
  • Implement robust observability practices to gain actionable insights.
  • Utilize automation to streamline deployment processes and enhance velocity.

Implementation checklist

  • Assess current MTTR and change failure rates before interventions.
  • Establish clear metrics to track improvements post-implementation.
  • Invest in observability tools that provide real-time insights.

Questions we hear from teams

What are the key metrics to track after modernization?
Focus on MTTR, change failure rates, and deployment frequency to gauge improvement.
How quickly can we expect to see results?
Improvements can often be seen within 3-6 months post-implementation.
What tools do you recommend for observability?
Consider tools like Prometheus, Grafana, or Datadog for effective monitoring.

Ready to modernize your codebase?

Let GitPlumbers help you transform AI-generated chaos into clean, scalable applications.

Book a modernization assessment Explore our services