AIHouse enables migration of applications, databases, and infrastructure to AWS through a defined execution model. This supports secure transition, continuity of operations, and alignment with system requirements.
End-to-end migration across applications, data, and infrastructure on AWS
Cloud migration programs are often impacted by unclear sequencing, fragmented tooling, and operational risk during transition. AIHouse addresses these challenges through a defined migration approach using AWS-native services and coordinated execution across infrastructure, applications, and data.
Migration activities are sequenced across systems and dependencies, ensuring applications, databases, and infrastructure are transitioned in a controlled and consistent manner.
Phased migration approaches allow workloads to remain accessible while systems are moved, reducing disruption to ongoing operations.
Target environments are designed using AWS-native architecture to support scalability, security, and long-term operational requirements.
Analyze infrastructure, applications, dependencies, and data flows to establish migration scope, constraints, and system interdependencies.
Define target architecture, workload grouping, migration patterns, and execution sequencing based on system characteristics and operational priorities.
Execute migration across applications, databases, and infrastructure using AWS-native services with controlled orchestration and workload tracking.
Verify data integrity, application functionality, and system performance, followed by stabilization to ensure workloads operate as expected in AWS.

Migration is executed using AWS-native services including AWS Migration Hub, AWS Application Migration Service, AWS Database Migration Service, AWS Server Migration Service, and VMware Cloud on AWS. These services support consistent transition across diverse workloads and environments.
End-to-end migration from initial assessment to stabilized AWS environments.
Evaluate systems, dependencies, and readiness for migration.
Define migration architecture, sequencing, and target state.
Execute workload transition using AWS-native tooling.
Confirm system functionality and performance after migration.
Migrate applications using rehosting, re-platforming, or refactoring approaches, depending on application architecture and operational requirements.
Transition VMware environments to VMware Cloud on AWS while preserving configurations, tools, and operational workflows.
Migrate relational and non-relational databases using AWS Database Migration Service with continuous replication and validation to maintain data consistency.
Move data warehouse workloads to AWS using Amazon Redshift and data transfer services, enabling continued analytics and reporting workflows.
Transfer storage and backup systems to Amazon S3 and Amazon EBS with focus on data durability, accessibility, and consistency.
Applications, databases, and infrastructure are moved from on-premises or legacy environments into AWS with defined execution and validation.
Systems are validated and stabilized post-migration to ensure consistent operation in the AWS environment.
Workloads are consolidated within AWS, enabling unified access, management, and operational control.
Execute cloud migration using a defined approach aligned to your infrastructure, applications, and operational requirements.
Evaluate infrastructure, applications, dependencies, and readiness to define migration scope and approach.
Transition workloads using AWS-native services with defined sequencing and controlled execution.
Validate system functionality, data integrity, and performance after migration.