Migration Services
Codimite helps businesses migrate applications, infrastructure, databases, and data from AWS to Google Cloud. Modernize your cloud environment, improve scalability, and optimize operations through a secure, controlled migration approach.
Modernize with Google Cloud
Modernize data warehouses and analytics workloads with Google Cloud services such as BigQuery.
Prepare applications and data for Gemini, Vertex AI, machine learning, and generative AI use cases.
Move suitable workloads from traditional virtual machines to containers, managed services, and serverless platforms.
Migrate Amazon EKS workloads to Google Kubernetes Engine for managed Kubernetes deployment and operations.
Assess workload usage, sizing, architecture, and pricing to identify potential cloud-cost improvements.
Integrate Google Cloud with existing AWS, on-premises, and third-party environments where a complete migration is not required.
Migration Process
Inventory AWS applications, virtual machines, containers, databases, storage, networks, dependencies, and current cloud spending.
Define the target architecture, landing zone, identity model, networking, security controls, governance, and resource structure.
Select suitable workloads for an initial migration and validate performance, compatibility, security, and cost assumptions.
Rehost, replatform, refactor, or rebuild workloads based on business and technical requirements.
Test functionality, data integrity, security, performance, resilience, and monitoring before completing the cutover.
Why Codimite
As a Google Cloud Partner, Codimite combines cloud architecture, application modernization, data engineering, AI, security, and DevOps expertise to support end-to-end migration projects.
Talk to a Cloud Migration ExpertMigration-Led Cloud Assessment. We evaluate your AWS environment, dependencies, usage, costs, security requirements, and modernization priorities.
Google Cloud Expertise. Our teams design and deliver scalable solutions across Google Cloud infrastructure, data, AI, application development, and automation.
Application and Data Modernization. We help migrate applications, APIs, databases, storage, analytics platforms, containers, and serverless workloads.
Security and Governance Planning. We design identity, access, network security, logging, compliance controls, policies, and cloud governance into the target environment.
Risk-Managed Delivery. Phased migrations, pilot workloads, parallel environments, testing, rollback planning, and controlled cutovers help reduce disruption.
End-to-End Support. Codimite supports discovery, architecture, migration, testing, deployment, optimization, monitoring, documentation, and knowledge transfer.
Comparison
| Comparison Area | AWS Environment | Google Cloud Opportunity |
|---|---|---|
| Virtual machines | Amazon EC2 | ✓ Compute Engine for scalable virtual-machine workloads |
| Kubernetes | Amazon EKS | ✓ Google Kubernetes Engine for managed container orchestration |
| Serverless | AWS Lambda | ✓ Cloud Run for serverless containerized applications |
| Object storage | Amazon S3 | ✓ Cloud Storage for secure and scalable object storage |
| Relational databases | Amazon RDS and Aurora | ✓ Cloud SQL or AlloyDB for managed relational databases |
| NoSQL databases | Amazon DynamoDB | ✓ Spanner or Bigtable for suitable distributed data workloads |
| Data warehouse | Amazon Redshift | ✓ BigQuery for serverless enterprise data analytics |
| Artificial intelligence | AWS AI and machine-learning services | ✓ Vertex AI and Gemini for enterprise AI development |
| Migration planning | AWS-native discovery and management tools | ✓ Migration Center for asset discovery, assessment, and cloud-spend estimation |
FAQs
No. Codimite can migrate selected applications, data platforms, databases, containers, or infrastructure while retaining suitable workloads in AWS.
Yes. Organizations can use a hybrid or multi-cloud architecture that connects AWS and Google Cloud through secure networking, identity, APIs, and data integrations.
Common workloads include Amazon EC2, EKS, Lambda, S3, RDS, Aurora, DynamoDB, and Redshift environments, depending on application and data requirements.
It may create cost-optimization opportunities, but results depend on workload usage, architecture, service selection, data transfer, licensing, and commercial agreements. A cloud assessment is required before estimating savings.
Minimal or near-zero downtime may be possible for suitable workloads through replication, parallel environments, staged releases, traffic switching, and rollback planning. The final approach depends on the architecture and data-consistency requirements.
The timeline depends on the number of workloads, application dependencies, data volume, security requirements, modernization scope, and acceptable downtime. An assessment is required to develop a reliable roadmap.
Identify which AWS workloads should be migrated, modernized, or retained with a focused cloud assessment.
Talk to a Cloud Migration Expert
