QualiZeal’s POD-to-PROD Framework Accelerates Cloud-Native Delivery for a Leading North American Airline
Location
United States
Industry
Airline
Year
2026
Overview
A leading North American low-cost airline wanted to modernize its engineering teams and the way it builds, tests, deploys, and operates critical airline applications. QualiZeal partnered with the airline to implement a scalable operating model with a POD-to-PROD framework involving high-caliber, cross-functional teams to own end-to-end application delivery while strengthening quality, accountability, and production readiness.
Direct Business Challenges
Challenges
Direct Business Challenge
Development and Quality Misalignment
Development teams and the Quality Management Office relied on separate processes, creating coordination gaps, delays, and inefficiencies in test readiness and release approvals
Dependencies Across Delivery Teams
Teams relied heavily on external functions for testing, approvals, and deployment, limiting ownership and creating bottlenecks throughout the application delivery lifecycle
Slow, Manual Release Cycles
Manual processes and limited automation increased deployment lead times. For instance, API code testing could take up to two days, delaying the path to production.
Cloud-Modernization Complexity
The airline needed to transition legacy, on-premises applications toward a cloud-first model while improving team capability in modern cloud engineering practices.
Limited Production Visibility
Testing and operational monitoring were not consistently embedded within the application lifecycle, reducing visibility into application quality, performance, and release readiness
QualiZeal’s Solution
Solutions
Strategic & Tactical Solutions
POD-to-PROD Operating Model
Established cross-functional engineering PODs with accountability across the complete application lifecycle—including development, test creation and execution, CI/CD management, performance engineering, deployment, and production support.
Automated Quality Engineering
Embedded automated unit, API, integration, UI, and performance testing into CI/CD pipelines. Test results were fed directly into release decisions, replacing manual handoffs with faster, consistent quality gates.
Cloud-First Application Modernization
Re-architected target applications for cloud-first deployment and strengthened team proficiency through focused training and enablement on cloud technologies.
Infrastructure and Release Automation
Enabled automated pipeline-driven deployment practices, environment provisioning, and release workflows to reduce repeatable manual effort and improve delivery consistency
Embedded Observability
Integrated dashboards, alerts, and monitoring components into the codebase, enabling observability capabilities to move with each application across environments.
Scalable Adoption Model
Delivered the initial implementation in five two-week sprints and extended adoption through learning sessions that enabled additional teams to apply the POD-to-PROD model.
Value Delivered
Faster Time-to-Market
0
%
Scalable Cloud-First Delivery
0
%
Faster API Test Execution
0
%
End-to-end Team Accountability
0
%
