Customer Story · Travel Tech · Software Engineering
Powering AI-Driven Experiences for a Travel Agency with Robust DevOps and AWS Infrastructure Provisioning and Support
The customer is a leading travel management company and an industry-innovator in integrating artificial intelligence into the traveler's journey. As a forward-thinking organization within the travel tech space, they sought to revolutionize how users book trips through an advanced AI-powered Email Bot.
The inflection pointFrom development to production
The customer developed a sophisticated application using Large Language Models (LLMs). The bot allows users to simply email a request (e.g., “Fly from Hyderabad to New York next Monday”), and the system automatically fetches airport lists, selects optimal routes, books tickets, secures hotel rooms, and arranges ground transportation. However, while moving from development to production, the customer faced significant challenges with:
- Infrastructure management: Unsustainable management of complex backend APIs and LLM models on AWS manually
- Deployment bottlenecks: Lack of a formalized CI/CD pipeline slowed down the release of new AI features
- Environment consistency: Faced challenges with code behavior across the environments of development, testing, and production
- Architectural diversity: Inefficient management of hybrid environment ranging from serverless AWS Lambda, containerized ECS, and traditional EC2 instances
Automate the entire lifecycle — for high availability and rapid scalability.
The interventionEnd-to-End DevOps & Cloud Infrastructure Modernization
Adroitent partnered with the customer to architect and implement a mission-critical DevOps and AWS Infrastructure provisioning — focused on automating the lifecycle of the AI application to ensure high availability and rapid scalability.
Automated CI/CD Pipelines
- After code merge into the target branch, the pipeline automatically triggers the build and deployment process
- Enabled smooth and consistent deployments across Development, Testing and Production
Infrastructure as Code (IaC) with AWS CDK
- AWS CDK and CloudFormation codified the entire infrastructure, allowing one-click deployment of complex environments
- All AWS resources — from S3 buckets to networking — version-controlled for consistency, traceability and repeatability
Optimized Hybrid Compute Architecture
- ECS & EC2 for heavy-duty LLM processing; Lambda for serverless, event-driven booking tasks
- Step Functions orchestrate the Flight → Hotel → Cab logic; SageMaker trains and manages the LLM models
The game changer
Optimized hybrid compute on AWS
- AWS ECS & EC2 for heavy-duty LLM processing and persistent backend services
- AWS Lambda to handle serverless, event-driven tasks within the booking flow
- AWS Step Functions to orchestrate the complex multi-step booking logic (Flight → Hotel → Cab)
- AWS SageMaker for training and managing the backend LLM models
By the numbers
Faster time-to-market
Improved reliability
Stronger governance
Scalability & agility
By the numbers
Faster time-to-market
Improved reliability
Stronger governance
Scalability & agility
The payoffFaster, reliable, scalable delivery
- Faster Time-to-Market
- Deployment cycles were reduced from hours/days to minutes, enabling quicker feature releases and faster response to business needs.
- Improved deployment reliability
- Automated, consistent deployments minimized manual errors, resulting in more stable releases and fewer production issues.
- Enhanced operational efficiency
- Automation reduced manual effort, allowing teams to focus more on innovation and core development activities.
- Cost optimization
- Lower operational overhead and reduced rework led to optimized infrastructure and support costs.
- Stronger governance & compliance
- Version-controlled infrastructure ensured full traceability, auditability, and adherence to compliance standards.
- Scalability & agility
- On-demand environment provisioning enabled rapid scaling and greater flexibility to support evolving business demands.
- Improved developer experience
- Simplified, one-click deployments enhanced developer productivity and accelerated onboarding.
The stack behind itTools & technology
This engagement was delivered as part of Adroitent's Software Engineering Services practice.
Good to knowFrequently asked questions
What is Infrastructure as Code (IaC)?
How does a CI/CD pipeline speed up software delivery?
When should you use serverless (AWS Lambda) versus containers (ECS/EC2)?
How do you deploy and scale an LLM application on AWS?
What are the main benefits of DevOps automation?
Make your platform deploy-in-minutes.
Automate your cloud lifecycle — from code to production, at scale.