DevOps Best Practices Impact Report
Measuring the impact of DevOps best practices implementation for a client showing both operational improvements and financial impact. Feature environments setup followed by continuous deployment to production (Auto-Deploy) on 12 December 2023 were a game changer in the Software Development Lifecycle.
This also showcases the importance of a strong automated testing culture and constant costs management optimization.
This transformation was conducted following 12-Factor App methodology and Expand/Contract patterns to minimize incidents (uptime > 99% for the period 2022-2025).
💰 Total estimated savings for devs and data scientists
📊 Completion Rate
⏱️ Average Deployment Time
🎯 Completion Rate Improvement
⚡ Speed Improvement
📈 Deployments success rates
🏃♂️ Monthly Deployment Time Trend
🧪 Test Coverage & E2E Tests Trend
💰 AWS EC2 Costs for feature environments
🌿 Feature Environments Created Over Time
🔧 Data Pipeline Failures Over Time
🎉 Key Takeaways
The auto-deploy enablement on December 12, 2023 resulted in a 15.3x more reliable deployments in deployment completion rates and 57.3% faster deployments in deployment times. This transformation moved the team from manual, error-prone deployments to automated, reliable, and fast continuous deployment.
The introduction of feature environments in September 2023 was a mandatory step to move safely to continuous deployment, providing isolated testing environments that enabled confident automated deployments without production risks.
Additionally, DevOps best practices adoption stabilized the data pipelines failure rate on production, reducing failures by approximately 50-60% compared to pre-automation periods.
Data gathered by scrapping APIs: CI/CD, Code Commits, Logs System, Code Coverage system.
Used Warp Terminal to generate the scrapping commands and generate HTML. No sensitive information are exposed in this report.