---
title: "Google Cloud - Migration & Modernization | Cheesecake Labs"
description: "We modernize your architecture, embed senior cloud engineers, and ship systems that hold in production on Google Cloud. Built for companies with real systems to protect and real pressure to move."
url: "https://cheesecakelabs.com/partners/google-cloud"
locale: "en"
updatedAt: "2026-08-05T18:22:39.822Z"
---

# Google Cloud - Migration & Modernization | Cheesecake Labs

> We modernize your architecture, embed senior cloud engineers, and ship systems that hold in production on Google Cloud. Built for companies with real systems to protect and real pressure to move.

*Google Cloud*

## Google Cloud engineering, from migration to production.

We modernize your architecture, embed senior cloud engineers, and ship systems that hold in production on Google Cloud.

## Talk with our team ›

### Product and platform, one team

Application, cloud, data, and AI decisions are made together, reducing handoffs between platform and product teams.

### Migration without a big-bang cutover

We migrate applications, services, and data in phases, with validation, observability, and rollback at every step.

### Security and reliability by design

Identity, access, network boundaries, secrets, logging, recovery, and service objectives are built in from the start.

### Ownership after launch

Infrastructure as code, documentation, runbooks, monitoring, and knowledge transfer leave your team ready to operate the platform.

## What working with an official Google Cloud Partner means

Google Cloud expertise connected to the product it serves.

## Schedule a call ›

### Application and infrastructure modernization

Containerized, serverless, and managed architectures that replace fragile infrastructure without disrupting critical operations.

### Data platforms on BigQuery

Reliable ingestion, transformation, governed models, analytics, and operational data products with clear cost controls.

### AI workloads on Vertex AI

Production AI, retrieval, agents, evaluation, and model operations connected to your data, systems, and governance.

### Security, reliability, and FinOps

Identity and access management, policy controls, observability, resilience, cost allocation, and optimization aligned with your operating model.

## What we build on Google Cloud

We build Google Cloud powered products that hold up under real constraints, regulatory, architectural, and operational.

### Build a governed analytics platform

Move siloed data into reliable pipelines and shared models on BigQuery, with ownership and quality defined.

### Modernize a critical application

Define the target services, integration boundaries, migration sequence, and operating model without forcing a full rewrite.

### Take a Vertex AI workflow to production

Connect one high-value workflow to the required data and systems, with evaluation, controls, and production observability.

## What we build

## Google Cloud Architecture Assessment

In 2 to 4 weeks, we assess the application, data, security, reliability, cost, and operating decisions shaping one Google Cloud initiative.

Best for: Application modernization, cloud migration, BigQuery platforms, Vertex AI initiatives, and reliability or cost improvement

## Plan your Google Cloud roadmap ›

### What does Cheesecake Labs do with Google Cloud?

We design, migrate, and modernize systems on Google Cloud, from architecture reviews to full cloud-native builds. That covers infrastructure as code, serverless, containers, and the data layer underneath your AI workloads.

### Can you reduce our Google Cloud costs without a full re-architecture?

Often, yes. A lot of cloud spend is architecture, not usage — right-sizing, committed-use discounts, storage tiers and pipeline efficiency recover real budget before any rebuild. We start by measuring where the bill actually goes.

### Do you work with AWS or Google Cloud?

Both. We deliver on Google Cloud and AWS, so the platform follows your goals rather than our preference. Where a multi-cloud split makes sense, we run that too.

### Do we need to be all-in on Google Cloud to work with you?

No. We meet your stack where it is and run production workloads on Google Cloud where it's the right fit, with standard interfaces that keep your options open.

### How fast can a team start to work with Google Cloud?

Fast. Our senior nearshore engineers embed directly with your team, in your time zone, so kickoff never waits on a handoff — typically within a couple of weeks.

## FAQ

## Structured data

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