DevOps

Powering AI-Driven Travel Experiences with Robust DevOps and AWS Infrastructure Provisioning and Support About the Customer 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 Customer Business Need 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, the customer while moving from development to production 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 The Solution in detail Adroitent Solution: End-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. Solution Overview Automated CI/CD Pipelines: Teams transitioned the deployment process to a fully automated Bitbucket Pipeline consisting of: Automated build: After code merge into the target branch in the Bitbucket repository, the pipeline automatically triggers the build and deployment process. Integration across environments: Enabled smooth and consistent deployments across key environments, including Development, Testing, and Production. Infrastructure as Code (IaC) with AWS CDK: To eliminate manual errors, the team leveraged AWS CDK (Cloud Development Kit) and CloudFormation to implement infrastructure as code, enabling: Fully Scripted Environments: Entire infrastructure was codified, allowing one-click deployment of complex environments. Version-Controlled Infrastructure: All AWS resources—from S3 buckets to networking components—were version-controlled, ensuring consistency, traceability, and repeatability across deployments. Optimized Hybrid Compute Architecture: AI solution was deployed using AWS services to balance performance and cost that consisted of: 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: Utilized for training and managing the backend LLM models. Business ROI Faster Time-to-Market Enhanced operational efficiency Stronger governance & compliance Scalability & agility Tools & Technology Leveraged Cloud Platform: AWS (EC2, ECS, Lambda, S3, CloudWatch, SageMaker, Step Functions) DevOps & Automation: AWS CDK, CloudFormation, Bitbucket Pipelines Backend & AI: LLM Models, Python/Node.js APIs Business Outcomes 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 on boarding. Talk To Our Experts