Google Cloud
development
GCP is where data engineering and applied AI feel native: BigQuery for warehouses that just work, GKE for the best-managed Kubernetes anywhere, and Vertex AI for models in production. We build data-first platforms on it.
- Type
- Cloud platform
- Launched
- 2008
- Strength
- Data · AI · K8s
- Flagship
- BigQuery · GKE
- Best for
- Data platforms
What we build with Google Cloud.
Google Cloud's gravity is data: BigQuery removed the operational burden from warehousing, and the path from raw events to ML features to served models is shorter here than anywhere.
It's also Kubernetes' birthplace — GKE remains the most polished managed K8s — and Cloud Run makes containers serverless. We design GCP platforms that exploit these strengths instead of treating it as generic compute.
Data platforms
BigQuery warehouses, streaming pipelines and governed lakes.
GKE & Cloud Run
Containers on the best managed Kubernetes and serverless runtime.
Vertex AI
Gemini and custom models deployed with proper MLOps.
Migration
Workloads moved from other clouds and on-prem with clear strategy.
The case for Google Cloud.
BigQuery economics
Serverless warehousing that scales to petabytes with zero cluster ops.
Best-in-class GKE
Kubernetes from its creators — Autopilot clusters that run themselves.
AI-native platform
Vertex AI and Gemini models integrate with your data where it lives.
Google's network
Your traffic rides the same backbone as Search and YouTube.
Serverless depth
Cloud Run scales containers to zero — pay only for actual requests.
Security pedigree
BeyondCorp zero-trust and default encryption from the company that invented them.
How we engineer
with Google Cloud.
Data platform engineering
01/06Lakehouse architectures with BigQuery at the core and governance built in.
- BigQuery modelling
- Dataflow / Pub/Sub streams
- dbt + Dataform
The stack we pair
with Google Cloud.
Data
01Compute
02AI
03Ops
04Outcomes, not just output.
A six-step cycle, repeated until it's right.
Transparent, predictable and collaborative — you always know what's shipping next and why.
Discovery
01We map the business, users and constraints — and pressure-test the problem before a line of code.
Planning
02Architecture, scope, and a sprint roadmap with clear milestones, budgets and success metrics.
Design
03Research-led UX and high-fidelity interfaces, validated with prototypes before build.
Development
04Senior-led engineering in two-week sprints with demoable increments and continuous review.
Testing & QA
05Automated and manual testing, security review and performance hardening before release.
Launch & Care
06Confident deployment, monitoring and SLA-backed support that keeps things humming.
Google Cloud questions, answered.
Still unsure if Google Cloud is right for your project? A senior engineer will tell you straight on a free call.
When data and AI are the centre of gravity: BigQuery and Vertex AI shorten the path from raw data to production intelligence dramatically. Also for Kubernetes-first platforms — GKE is the reference implementation.
Operationally, close to it — no clusters, no vacuuming, automatic scaling. The engineering effort moves to modelling and cost-aware query design, which is exactly where we focus.
Cloud Run for most services — it's serverless simplicity with container flexibility. GKE when you need cluster-level control, custom networking or workloads that don't fit the request model. Many platforms use both.
Yes — assessment first, then per-workload strategy. Data platforms often move first to capture BigQuery's economics; the rest follows incrementally with parallel running and rollback paths.
Very — pipelines, registries, monitoring and Gemini access in one platform. We add the evaluation harnesses and guardrails that turn impressive demos into dependable features.
Considering an alternative stack?
Ready to build with Google Cloud?
Book a free 30-minute consultation. We'll pressure-test your idea and map a Google Cloud approach — whether or not we end up working together.
What happens after you hit send.
You book in 60 seconds
Share a few details below. No lengthy forms, no sales gatekeeping.
A 30-minute strategy call
You talk to a senior engineer — not an account manager — about your actual problem.
A clear path forward
You leave with concrete recommendations and a rough scope, whether or not we work together.
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