The situation
An application team wants to move services close to data already held in Google Cloud.
Google Cloud Migration
Google Cloud migration brings workloads into a Google Cloud environment while preserving required application behavior, access controls and operating ownership.
- Assess workload fit
- Prepare the environment
- Execute controlled waves
Is this right for you?
When this is the right work.
You are adopting Google Cloud or consolidating into it and need a practical plan for projects, connectivity, data and the applications that depend on them.
The first conversation establishes the environment, the constraint and who will accept the result. We agree a bounded starting point before expanding the engagement.
Scope
What DotConn delivers.
- 01
Assess workload fit
Review dependencies, data gravity, integration constraints and the reason for choosing Google Cloud.
- 02
Prepare the environment
Design organization and project boundaries, network connections, IAM and operational visibility.
- 03
Execute controlled waves
Validate a bounded workload before expanding the move. Review data consistency, user journeys and rollback conditions.
Deliverables
What you receive.
Acceptance criteria identify the checks, records and handover needed for the agreed scope.
- Workload-fit and dependency assessment
- Google Cloud foundation and migration design
- Cutover checks and operations handover
In practice
A practical example.
Our approach
We evaluate the integration path, agree target project ownership and test an initial migration wave.
The useful result
The customer receives a reviewed transition plan with explicit dependencies and ongoing operating tasks.
Responsibility
Agree the responsibility.
DotConn
Assesses and delivers the technical work in the agreed scope, with reviewable changes and handover. Continuing operation requires a separately defined managed-service scope.
Your team
Provides authorized access, business priorities and accountable decision-makers; approves policy choices and accepts the agreed result.
Set this boundary early
Migration does not require placing every workload on Kubernetes. GKE, managed application services and other target options are assessed against the actual system.
FAQ
Questions worth resolving.
Do we need GKE for a Google Cloud migration?
Not necessarily. GKE is relevant when Kubernetes capabilities fit the workload and operating team; migration planning should evaluate that decision rather than assume it.
Pricing, timing and how to prepare are covered in working with DotConn.
Connected work
Services that work alongside this.
AWS & Google Cloud Migration
Cloud migration moves applications, data and dependencies into a target cloud environment. The important decision is what to move, what to change and what the operating team will need afterwards.
ExploreGoogle Kubernetes Engine Consulting & Implementation
Google Kubernetes Engine is Google Cloud’s managed Kubernetes service. Its Autopilot and Standard modes offer different balances of platform management, flexibility and responsibility.
ExplorePlatform Engineering
Platform engineering treats shared engineering capabilities as an internal product: reusable paths for building, releasing and operating software, with a team responsible for their usefulness.
ExploreAWS Migration
An AWS migration transfers selected workloads into an AWS environment with the account, networking, identity and operating foundations they need.
Explore