GCP Migration Services
End-to-end GCP migration services for moving workloads from on-premises, AWS, or Azure to Google Cloud with zero downtime and minimal risk.
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Why Choose MicrocosmWorks for Migration to GCP?
Migrating to Google Cloud Platform requires careful planning to avoid downtime, data loss, and cost overruns. Our migration specialists have moved hundreds of workloads to GCP — from simple lift-and-shift VM migrations to complex application re-platforming. We use Google's migration tools alongside proven methodologies to ensure your transition is smooth, predictable, and delivers immediate value.
Our GCP Migration Capabilities
- Assessment & Planning — Conduct thorough discovery of existing workloads, dependencies, and create detailed migration waves with risk assessments.
- Lift-and-Shift Migrations — Move VMs to Compute Engine using Migrate for Compute Engine with minimal application changes.
- Database Migration — Migrate databases to Cloud SQL, Spanner, or AlloyDB using Database Migration Service with continuous replication.
- Container Modernization — Re-platform applications into containers running on GKE or Cloud Run during migration for improved efficiency.
- Data Migration — Transfer petabytes of data using Transfer Appliance, Storage Transfer Service, or online transfer with validation.
- Cross-Cloud Migration — Migrate from AWS or Azure to GCP with workload-specific strategies and hybrid operation during transition.
GCP-Specific Technology Stack
We leverage Migrate for Compute Engine for VM migrations, Database Migration Service for managed database transfers, Storage Transfer Service for data movement, Cloud Interconnect for high-bandwidth connectivity during migration, and Anthos for hybrid operation — ensuring every migration path uses the optimal Google Cloud tooling.
Who This Is For
This service is for organizations migrating from on-premises data centers seeking to reduce hardware costs, companies moving from AWS or Azure to take advantage of GCP's analytics and AI capabilities, or businesses modernizing legacy applications during cloud migration. Whether you have 10 servers or 10,000, our structured approach ensures predictable outcomes.
Our Process
Discovery
Inventory all workloads, map dependencies, assess migration complexity, and define success criteria for each application.
Architecture
Design target GCP architecture, define migration waves, create rollback plans, and establish network connectivity.
Implementation
Execute migration waves with automated tooling, validate data integrity, and perform cutover with minimal downtime.
Optimization
Right-size migrated workloads, implement GCP-native services, and optimize for cost and performance post-migration.
Operations
Decommission source systems, establish GCP operational procedures, and provide hypercare support during stabilization.
Technology Stack
Migration Tools
Target Platforms
Networking
Validation
Industries We Serve
Ready to Migrate to GCP?
Let our migration specialists plan and execute your move to Google Cloud Platform with zero downtime and predictable outcomes.
Frequently Asked Questions
MicrocosmWorks handles lift-and-shift VM migrations using Migrate to Virtual Machines, database migrations with Database Migration Service, containerization for GKE, and application modernization to Cloud Run or App Engine.
GCP migration consulting is available at $20-$45/hour, with projects ranging from simple VM migrations in 1-2 weeks to complex enterprise migrations with database conversions and application modernization spanning 2-6 months.
Yes, MicrocosmWorks migrates MySQL, PostgreSQL, SQL Server, and Oracle databases to Cloud SQL or AlloyDB using Database Migration Service with continuous replication, and designs Cloud Spanner migrations for applications requiring global consistency.
Absolutely. We plan and execute cross-cloud migrations from AWS or Azure to GCP, mapping equivalent services, migrating data with minimal downtime using Transfer Service, and re-implementing IaC in Terraform for the GCP environment.
We use GCP Migration Center for discovery and assessment, analyze application dependencies, evaluate database compatibility, calculate TCO comparisons, and produce a prioritized migration wave plan with risk ratings and timeline estimates for each workload.