A leading U.S.-based airline sought to modernize its IT infrastructure to improve operational efficiency, reduce manual processes and enhance data transparency. Partnering with HCLTech, they migrated key applications to AWS, implementing automation and improving scalability to meet growing demands.
The Challenge
- Manual processes: Key operational tasks required manual intervention, creating inefficiencies and increasing operational risk
- Scalability limitations: The legacy environment struggled to handle fluctuating demand, causing performance bottlenecks
- Vendor dependency: The airline depended on external vendors for scaling, limiting flexibility
- Data transparency: Fragmented data sources hindered data visibility and decision-making
The Objective
The goal was to modernize the airline's application suite, automate workflows and improve scalability and data visibility using AWS.
- Current state review: Identified operation bottlenecks and data management inefficiencies
- Cloud strategy: Developed a phased migration and automation plan to minimize disruption and maximize efficiency
The Solution
HCLTech migrated and modernized the airline's applications to AWS:
- Cloud migration: Moved legacy applications to AWS to increase scalability and reduce vendor dependency
- Automation: Implemented AWS Lambda and ECS for task automation, reducing manual intervention and improving operational flow
- Data management: Leveraged Amazon DynamoDB and S3 for improved data ingestion and management
- User experience: Introduced enhanced features and functionalities to improve employee and customer experiences
The Impact
- Improved efficiency: Automated workflows reduced operational delays by 30%, streamlining flight operations
- Scalability: AWS services like ECS and Fargate enabled the airline to scale its resources dynamically
- Enhanced user experience: Staff and customers benefit from faster and more reliable applications
- Data transparency: Improved data management provided better insights, aiding operational decision-making
AWS services used:
Amazon ECS, AWS Lambda, Amazon S3, Amazon DynamoDB, AWS CloudWatch
