Quantiphi's Qatapult GCP to AWS Migration Hub on AWS

Quantiphi Qatapult is an AI-powered migration hub purpose-built for enterprises moving from Google Cloud Platform (GCP) to AWS. Designed as a factory-driven solution, Qatapult GCP 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 GCP 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 GCP
• Automate: Workload deployment with automated validation, IaC led provisioning and efficient CI/CD pipeline fine-tuning for efficient orchestration & staging across environments
• Persist: Comprehensive maintenance & support of migrated workloads with incident management, automated fixes, monitoring & optimization routines

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

• Application Modernization: GCP application stack refactoring , conversion & migration to AWS. Examples of key source to target conversion dispositions include: Google Kubernetes Engine (GKE) to Amazon Elastic Kubernetes Service (EKS)
• Data Migration: GCP Database / Data Warehouse schema, BI objects & data migration to AWS. Examples of key source to target conversion dispositions include: Google BigQuery to Amazon Redshift, Google Looker Studio to Amazon Quicksight
• **Infrastructure Migration: Automated GCP-to-AWS infrastructure translation with scalability. Examples of key source to target conversion dispositions include: Terraform conversion from GCP to AWS (with compute resources such as GCE to EC2)

Key Features:

• Automated Discovery: Automatically identifies and inventories all your GCP cloud workloads, infrastructure setup & components
• AI-Powered Translation: Intelligent transformation of GCP configurations to AWS-native equivalents using specialized tools like GKE Configuration Analyzer, YAML Generator, HELM Chart Mapper, BigQuery Schema Analyzer, and Terraform Converter
• Dependency Mapping: Quickly identifies and maps dependencies between GCP 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 GCP to AWS migration, delivering ~30% faster workload migration & ~40% process automation, Enterprises can also achieve the following business outcomes:

• Reduced Migration Risk and Downtime: Automated processes and robust testing capabilities minimize disruption
• 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
• Cost Optimization and Savings: Our offering helps identify and capitalize on cost-saving opportunities post-migration
• 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