Google Cloud engineering grounded in the system, not the service catalog.
Ampity helps teams design and modernize applications, data platforms, and operating foundations on Google Cloud for dependable production use.
Google Cloud Partner
Ampity helps teams design and modernize applications, data platforms, and operating foundations on Google Cloud without separating build decisions from production responsibility.
Read the announcementA useful signal, with a clear boundary.
What it establishes
The relationship gives Ampity a recognized place in the Google Cloud partner ecosystem and supports platform-aligned delivery and enablement.
For customers, the useful question is how applications, data, identity, reliability, security, cost, and team ownership fit together on the platform.
Ampity keeps that judgment independent. The platform boundary is chosen around the customer's workload and operating constraints.
What still has to be proved
Partner status is not evidence that every workload should move to Google Cloud.
It does not remove the need to validate migration, data authority, security, reliability, or cost assumptions.
Production readiness must still be supported by working software and operating evidence.
Application and data decisions stay connected
Applications, data, identity, integration, and operations are designed as one set of contracts rather than separate infrastructure workstreams.
Migration has an explicit boundary
Teams can see what will rehost, refactor, replace, or remain, plus the dependencies and cutover conditions behind each decision.
Reliability is designed before launch
Availability, recovery, observability, release safety, and capacity expectations become testable requirements.
The receiving team can continue the platform
The work includes decisions, controls, dashboards, runbooks, and ownership so internal teams retain context.
From cloud choice to a platform the team can operate
A useful partner relationship should reduce uncertainty at four connected decision points.
Understand what is changing
Applications, data, dependencies, delivery friction, security boundaries, and ownership are mapped first.
Define what Google Cloud owns
Managed services, application responsibilities, data authority, integration, and exit constraints are visible.
Validate the production path
Release, load, data quality, access, failure, recovery, and cost assumptions are tested.
Transfer the operating model
The internal team receives the controls, context, runbooks, dashboards, and review cadence.
The outcome is a coherent Google Cloud operating foundation, not a collection of services that only the delivery team understands.
Where Ampity brings the platform into the work.
Google Cloud architecture
Translate workload and organizational constraints into a clear platform boundary and decision record.
Target-state boundary, architecture decisions, risk and dependency register
Application modernization
Modernize runtime, integration, deployment, and observability in increments that preserve continuity.
Modernization sequence, release path, service objectives, rollback evidence
Data platform engineering
Design ingestion, transformation, storage, access, quality, and lineage around accountable data products.
Data contracts, quality controls, lineage, access model, thresholds
Cloud migration
Plan dependencies, data movement, rehearsals, cutover controls, rollback, and post-migration proof.
Migration waves, rehearsal results, cutover criteria, validation report
Reliability and observability
Connect telemetry to customer journeys and operating decisions instead of collecting unprioritized signals.
Service objectives, dashboards, alerts, incident and recovery procedures
Security and cost governance
Make identity, policy, resource ownership, demand, and spend visible where teams make changes.
Access model, policy controls, allocation views, budget and review cadence
One delivery path. Evidence at every stage.
Discover the estate
Establish the application, data, integration, identity, operating, and cost facts shaping the programme.
Estate map, risks, and modernization options
Design the platform boundary
Define how teams, environments, identity, data, policy, observability, and costs will be organized.
Platform blueprint and decision record
Deliver in working slices
Move or modernize bounded workloads and revise assumptions using evidence from each increment.
Validated application and data increments
Operationalize ownership
Confirm service objectives, incident and recovery paths, cost review, access administration, and responsibilities.
Operating playbook, dashboards, and handoff
Begin with the decisions the system must survive.
How do you decide whether Google Cloud is right?
We evaluate workload behavior, data needs, skills, integration, compliance, reliability, economics, and the cost of change.
Can you modernize without moving everything?
Yes. A staged boundary can keep stable systems in place while changing components where the benefit is defensible.
How do data and applications stay connected?
Application contracts, data authority, lineage, access, quality, and operating ownership are designed together and tested through real use cases.
What remains with our team?
Decisions, infrastructure and delivery code, controls, dashboards, runbooks, and the rationale needed to evolve the platform.