Google Cloud services.
Explore Google Cloud infrastructure, data and application capabilities with guidance tailored to your environment.
Start with what needs to work better.
Google Cloud prices vary with machine series, region, sustained usage, disks, network traffic and additional managed services.
Select an appropriate machine family and region for the workload, include storage and egress assumptions, and validate the estimate in Google Cloud's calculator.
What the work can include.
Explore Google Cloud infrastructure, data and application capabilities with guidance tailored to your environment.
Compute, storage and network assumptions
Migration and deployment planning
Identity, monitoring and backup considerations
Cost model validation checklist
Designed around useful outcomes.
A workload-specific Google Cloud estimate
Region and machine assumptions made visible
Data movement and storage included where known
A basis for comparing cloud options
A clear path from discovery to delivery.
Scope, approvals and responsibilities are agreed with you before implementation begins.
Capture CPU, memory and utilization needs
Choose region and machine family
Model compute, disk and network costs
Validate service and commitment assumptions
Review operational readiness
Where this can help.
Tools are selected for the job.
These are examples of technologies that may be relevant. Final choices depend on your existing environment and requirements.
What to know before you begin.
Does the estimate include committed-use discounts?+
Not unless you enter a rate reflecting the relevant commitment. Discount eligibility and terms must be checked in Google Cloud pricing tools.
Are egress fees included?+
Only when an applicable network egress rate and expected volume are entered.
Discuss your project scope.
Share your goals, current setup and constraints. We'll help identify a practical next step.
