Google Cloud Migration Services
NextPage helps teams plan and execute Google Cloud migrations with workload readiness, migration waves, GKE and Cloud Run decisions, database moves, IAM, observability, cost controls, rollback planning, and post-migration support.
Built for
Technical and business leaders who need a controlled Google Cloud migration from legacy hosting, private cloud, AWS, Azure, or hybrid infrastructure without disrupting uptime, data integrity, security controls, or operating costs.
A GCP migration roadmap that maps workloads, dependencies, target Google Cloud services, validation gates, rollback paths, and team ownership.
Controlled migration waves across applications, databases, storage, DevOps, IAM, monitoring, and release workflows with less cutover risk.
A better operating model after migration with observability, cost controls, runbooks, backup checks, performance tuning, and modernization priorities.
Why this matters
The best outsourcing and software projects work because expectations, ownership, and delivery rituals are clear from the first week.
The current hosting, private cloud, AWS, Azure, or unmanaged GCP setup is limiting reliability, release speed, cost visibility, or security ownership.
Teams know Google Cloud may be a better fit, but they need a migration plan before choosing GKE, Cloud Run, App Engine, Compute Engine, Cloud SQL, or BigQuery patterns.
Applications, databases, queues, files, background jobs, DNS, and third-party integrations make cutover more risky than a simple infrastructure move.
IAM, service accounts, VPC design, secrets, audit logs, backups, and least-privilege access need to be planned before workloads move.
Database migration and analytics handoffs need validation evidence so reports, customer flows, and operational systems keep working after cutover.
Leadership needs a phased roadmap that explains cost, downtime, rollback triggers, post-migration operations, and what should be modernized later.
What we build
We shape the scope around the result you need, the systems you already have, and the first release that can create value.
Audit applications, infrastructure, databases, traffic, integrations, compliance needs, team skills, and current cloud spend before choosing a GCP migration pattern.
Choose the right landing pattern for each workload instead of forcing everything into one hosting model.
Move apps, APIs, background jobs, SQL databases, file storage, object storage, and analytics dependencies with validation before and after cutover.
Design the access model, service accounts, VPC patterns, secrets, audit logging, backups, and least-privilege controls that protect migrated workloads.
Make the migrated environment easier to operate with monitoring, logging, alerting, SLO thinking, right-sizing, and cost visibility.
Run migration waves with clear ownership, validation gates, DNS and release notes, rollback triggers, incident paths, and hypercare after launch.
Technology stack
Migration choices depend on the applications, data stores, traffic patterns, compliance needs, and team skills already in place. We plan the stack so the move improves reliability instead of only changing the hosting bill.
Public, private, hybrid, and multi-cloud foundations for applications, databases, and workloads.
AWS
EC2, RDS, S3, ECS, Lambda
Azure
Apps, databases, identity
Google Cloud
Compute, storage, data
Private cloud
Controlled environments
Repeatable infrastructure patterns that make cutover, rollback, and environment parity easier to manage.
Docker
Application packaging
Kubernetes
Container orchestration
Terraform
Infrastructure as code
CI/CD
Release automation
Database and file migrations planned around consistency, downtime windows, backup policy, and validation.
PostgreSQL
Relational workloads
MySQL
Business platforms
Object storage
Files and media
Replication
Low-risk cutovers
Access, network, and compliance controls that need to move with the workload, not get bolted on later.
IAM
Least-privilege access
VPC design
Network segmentation
Secrets management
Credential control
Backups
Recovery planning
Monitoring, logs, and incident signals that make the migrated system easier to operate after launch.
CloudWatch
AWS monitoring
Sentry
Application errors
Uptime checks
Availability signals
Runbooks
Operational handoff
Testing and cost visibility to make sure the migration improves the system instead of shifting old problems.
Playwright
Critical-flow testing
Load testing
Capacity checks
Cost reports
Spend visibility
Performance audits
Post-move tuning
Delivery model
We keep discovery practical, ship in visible increments, and make ownership clear so you can scale with confidence.
We review workloads, data stores, integrations, security controls, uptime needs, current spend, and team operating model before recommending a GCP migration path.
You get a Google Cloud architecture plan covering target services, environments, IAM, networking, observability, validation, rollback, and migration sequencing.
We move workloads in controlled waves, validate data and user flows, automate release paths, and keep rollback options visible until cutover is safe.
After cutover, we monitor reliability, performance, cost, backups, alerts, and support issues while planning the next modernization improvements.
Engagement options
Choose the model that fits your current stage. We can start small, add specialists, or run a full product pod.
Best when you need an evidence-based migration roadmap, target-service recommendation, risk map, and budget range before execution.
Best when one product, application set, database, or infrastructure footprint needs to move to Google Cloud with clear validation and cutover ownership.
Best when GCP migration is part of broader DevOps, reliability, platform modernization, analytics, cost, and product-delivery improvements.
Proof
NextPage is not starting from theory. The team has built and operated products, platforms, and internal systems with real users.
Maxabout: automotive platform with large-scale search traffic
NextBite: ordering workflows for food entrepreneurs
ChatRoll and OutRoll: communication and outreach products
FAQ
Clear answers help you understand how the engagement works before we get on a call.
Google Cloud migration services help teams move applications, databases, storage, infrastructure, DevOps workflows, and operations from legacy hosting, private cloud, AWS, Azure, hybrid environments, or unmanaged GCP setups into a better-planned Google Cloud environment.
The target architecture can include GKE, Cloud Run, App Engine, Compute Engine, Cloud SQL, AlloyDB, Cloud Storage, BigQuery, Cloud Monitoring, IAM, Secret Manager, and other services depending on workload behavior, downtime tolerance, cost, and team skills.
We choose by workload needs. GKE fits container platforms and Kubernetes operating models, Cloud Run fits many stateless services, App Engine can fit managed application hosting, and Compute Engine can support lift-and-shift or specialized VM workloads.
Yes. We can plan database moves to services such as Cloud SQL, AlloyDB, or other managed and self-managed targets. The plan covers source audit, compatibility, replication or import approach, validation, backup, rollback, and application connection checks.
We reduce downtime with dependency mapping, migration waves, staging environments, replication where appropriate, test migrations, validation checklists, DNS and release planning, rollback triggers, and post-cutover monitoring.
Yes. We can help assess and move selected workloads from AWS, Azure, private cloud, or hybrid infrastructure to Google Cloud. Cross-cloud migration needs careful planning around networking, identity, data transfer, service equivalents, cost, and rollback.
Post-migration work usually includes monitoring, cost tuning, backup checks, security review, runbooks, incident response setup, performance improvements, and a modernization backlog for workloads that should be improved after the first move.
Next step
Share your goal, current stack, deadline, and team gaps. We typically respond within 24 hours.
Use the project form first
The form captures your goal, budget, timeline, and service context so we can route the lead, prepare properly, and keep follow-up inside the pipeline.
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