Case Study
The company needed to reduce time-to-market for new features while handling high-volume data processing and complex automation workflows. Key challenges included optimizing database performance, managing fast release cycles, and creating a scalable, cost-efficient infrastructure using AWS—all without disrupting customer experience.
The Josh Edge
Leveraging our expertise in cloud infrastructure and system optimization, we helped the company enhance its data processing, scalability, and release efficiency. Here’s what we implemented:
Optimized Data Processing with AWS ECS: Designed a solution using AWS ECS to accelerate data processing, improving system responsiveness and enhancing the overall user experience.
Enhanced Database Performance: Tweak the scalable database architecture that resulted in an optimized processing system, improving the performance and thus saving cost.
Accelerated Release Cycles with QA Automation: Developed and integrated enhanced QA automation workflows, reducing testing cycle time and enabling faster, more robust software releases. Along with the help of the ephemeral environment, the deployment cycles improved from 15-20 minutes to below 5 minutes.
Deliver Real Value
Significant Cost Savings: Optimisation in scalable database architecture resulted in savings of approximately $400 per day, reducing operational expenses.
Reduced QA Execution Costs: Architectural enhancements in the QA environment lowered execution costs, improving efficiency in testing and validation.
Faster Release Cycles: Dramatically improved QA cycle execution time from overnight to just 2-3 hours, enabling faster deployments and more frequent updates.
Modernization
Enhanced User Experience
Enterprise