Quantiphi's Qatapult- Azure to AWS Migration Hub on AWS

Quantiphi Qatapult is an AI-powered migration hub purpose-built for enterprises moving from Azure to AWS. Designed as a factory-driven solution, Qatapult Azure to AWS Migration Hub delivers an AI-powered, factory-driven approach to modernize your application, data, and infrastructure on AWS. Powered by GenAI, our SNAP (Strategize-Navigate-Automate-Persist) methodology accelerates migration while ensuring minimal disruption, compliance, and cost optimization.

Migration Approach: Qatapult provides holistic coverage throughout the SDLC and streamlines migration to AWS in a phased manner using our SNAP methodology

• Strategize: Detailed assessment of Azure landscape with focus on identification of key workloads (Application, Data & Infrastructure components), service & architectural design mapping to AWS & finalization of end-state disposition on AWS cloud
• Navigate: Migration of workloads through factory model, with dedicated migration/ modernization assembly lines to convert, refactor & scale workloads migrated from Azure
• Automate: Workload deployment with automated validation, IaC led provisioning and efficient CI/CD pipeline fine-tuning for efficient orchestration & staging across environments
• Persist: Continuous optimization of migrated workloads using automated monitoring, compliance checks, and AWS Well-Architected best practices.

Key Components: Qatapult Azure to AWS Migration Hub harnesses specialized migration pipelines for Application Modernization , Data Migration, and Infrastructure Migration-

• Application Modernization: Automates refactoring and translation of Azure workloads to AWS-native services (e.g., Azure Kubernetes Service to Amazon Elastic Kubernetes Service).
• Data Migration: Migrate Azure data stores, including databases, schemas, and datasets, to AWS. Examples of key source to target conversion dispositions include: Azure Synapse Analytics to Amazon Redshift
• Infrastructure Migration: Transform and scale existing Azure infrastructure deployment on AWS, leveraging intelligent automation. Examples of key source to target conversion dispositions include: Azure Terraform to AWS Terraform, Azure ARM to AWS Cloud Formation Template (CFT) (for compute resources such as VM to EC2)

Key Features:

• Automated Discovery: Automatically identifies and inventories all your Azure cloud workloads, infrastructure setup & components
• AI-Powered Translation: Intelligent transformation of Azure configurations to AWS-native equivalents using specialized tools like AKS Configuration Analyzer, YAML Generator, and Terraform Converter
• Dependency Mapping: Quickly identifies and maps dependencies between Azure services and their AWS counterparts for intelligent migration planning
• Performance Optimization: Ensures applications, data, and infrastructure are optimized for AWS cloud performance after migration

Outcomes: Qatapult streamlines end-to-end Azure to AWS migration, delivering ~30% faster workload migration & ~40% process automation, Enterprises can also achieve the following business outcomes:

• Enhanced Cloud Performance: Modernized applications and infrastructure on AWS delivers better performance, scalability, and operational efficiency
• Operational Efficiency: Minimize manual intervention and reduce IT operations tickets
• Reduced Migration Risk and Downtime: Automated processes and robust testing capabilities minimize disruption
• Cost Optimization and Savings: Qatapult identifies cost-saving opportunities post-migration through AWS-native optimization tools.
• Enhanced Agility and Innovation: Unleash the power of AWS cloud's scalable, elastic, and feature-rich environment
• Robust AWS Foundation: AWS well-architected framework & best practices adoption with a compliant & secure infrastructure

Contact us today to get started at jim.keller@quantiphi.com