AWS Modernization Services – Serverless, Containers, Managed Services & Data Lakes

Our AWS modernization services help organizations transform legacy platforms into cloud-native, scalable, and resilient architectures using a combination of serverless technologies, containerization, managed services, and governed data lake methodologies. This approach reduces operational overhead, accelerates innovation, and improves security and compliance posture while aligning tightly with the AWS Migration Acceleration Program (MAP) modernization objectives.

Serverless Application Modernization

Serverless modernization replaces infrastructure-managed application components with fully managed AWS services such as AWS Lambda, API Gateway, EventBridge, Step Functions, and DynamoDB. This model eliminates server management, improves fault tolerance by design, and enables elastic scaling based on real-time demand. Serverless architectures are ideal for event-driven workloads, data ingestion pipelines, integration services, and digital application backends that require high availability with minimal operational burden.

Containerization & Microservices Transformation

Xpertech modernizes monolithic and legacy applications using containerization and microservices architectures built on Amazon ECS, Amazon EKS, and Amazon ECR. Container platforms enable consistent deployment across environments, improved release velocity through CI/CD pipelines, and fine-grained scaling of application components. This approach provides a clean migration path from virtual machines while laying the foundation for long-term application agility.

Modernization Using Managed AWS Services

Managed services play a central role in our modernization strategy. We replace self-managed infrastructure and middleware with AWS-native managed platforms such as Amazon RDS and Aurora for databases, Amazon OpenSearch for search and log analytics, Amazon MSK for streaming, Amazon ElastiCache for in-memory data, and AWS Backup for centralized data protection. This shift reduces patching, maintenance, and availability risks while improving overall system reliability.

Data Lake & Lake Formation Modernization Methodology

Our data platform modernization approach is built on a governed AWS-native data lake architecture using Amazon S3, AWS Glue, and AWS Lake Formation. We implement standardized data zones (raw, curated, and analytics), enforce centralized data governance, apply fine-grained access controls, and enable secure data sharing across analytics and machine learning teams. This methodology supports both batch and streaming ingestion patterns while ensuring compliance with regulatory and enterprise security standards.

Analytics, Machine Learning & AI Enablement

Modernized data platforms enable advanced analytics and machine learning using Amazon Athena, Amazon Redshift, and Amazon SageMaker. Xpertech builds secure ML pipelines for data preparation, training, validation, and inference, allowing organizations to operationalize AI-driven insights across clinical, operational, research, and business use cases.

Modernization Outcomes & Business Impact

Through serverless, container-based, managed-service, and data lake modernization, customers achieve reduced total cost of ownership, improved application resilience, faster deployment cycles, enhanced security posture, and greater agility in responding to business and market demands. These outcomes directly align to AWS MAP modernization goals of efficiency, scalability, and innovation acceleration.