Build on Google Cloud with data and AI at the core.
ScaleCloud helps enterprises leverage GCP's leadership in data, AI, and Kubernetes — from BigQuery to Vertex AI, delivering data-driven and AI-powered solutions at scale.
Design for scale, resilience, operational excellence.
Identity, governance, compliance by default.
IaC, CI/CD, GitOps, policy as code.
Visibility, commitments, unit economics.
Full-lifecycle GCP expertise
From first strategy to continuous optimization — select a stage to see the focus areas, deliverables, and tooling we bring.
Strategy
2–3 week sprintAlign GCP investment to data and AI outcomes with a defensible cloud strategy and roadmap.
- Business case
- Outcome mapping
- Roadmap horizons
- Cloud strategy document
- Investment thesis
- Transformation roadmap
Ten services across the GCP lifecycle
A complete GCP practice — select a service to explore the outcomes and where it fits.
GCP Strategy & Architecture
Cloud strategy, target-state architecture, and investment roadmap aligned to outcomes.
2–3 wk sprintDepth across every GCP category
We deliver across the full native GCP service portfolio — select a category to see what it covers and where it fits best.
Containers
5 native servicesGCP invented Kubernetes and offers the best-managed K8s experience with GKE and Anthos.
A governed GCP foundation
Resource hierarchy, landing zones, connectivity, platform and foundational services across GCP regions. Select a layer to explore.
Landing Zones
Scale per business unitProject-based landing zones for platform and workloads with separated concerns and scale.
- Project as unit of scale
- Environment separation
- Workload isolation
How we deliver on GCP
Select a track to explore our approach — landing zones, migration paths, and platform engineering.
Blueprints (Landing Zones)
Production-readyProduction-ready landing zone blueprints with resource hierarchy and all foundational guardrails baked in.
- Resource hierarchy blueprint
- Org policies & constraints
- Security baseline & SCC
- Central logging & audit
- KMS & encryption
- Network segmentation
- Label policies
- Guardrails as code
GCP capability depth
Seven capability areas with detailed features — select an area to explore each component and what it delivers.
Data
Industry-leading data and analytics on GCP for transactional, analytical, and real-time workloads.
- BigQueryServerless warehouse
- Cloud SQLManaged relational
- SpannerGlobally consistent DB
- Cloud StorageObject & lake
- DataflowStream & batch
- LookerBI & modeling
- Pub/SubEvent streaming
- DataprocSpark & Hadoop
- Data CatalogDiscovery & lineage
- DataplexLake governance
- LineageEnd-to-end lineage
- EncryptionCMEK by default
Start with a focused GCP assessment
Three assessments that turn GCP ambition into an actionable, risk-ranked plan.
GCP Readiness Assessment
Evaluate organisational, technical, and financial readiness for GCP adoption across your estate.
Duration: 2–3 weeksRequest AssessmentLanding Zone Assessment
Review existing or planned landing zones for governance, security, connectivity, and scale.
Duration: 1–2 weeksRequest AssessmentMigration & Optimization Assessment
Score workload migration readiness and identify post-migration optimization opportunities.
Duration: 2–4 weeksRequest AssessmentOutcomes our GCP engagements deliver
Modernize with Confidence
Re-platform and re-architect to GKE, Cloud Run, and managed data services with tested, zero-downtime cutovers.
Secure & Compliant by Design
BeyondCorp, SCC, and policy-as-code make security and compliance the default — not an afterthought.
Optimize Cloud Operations
24/7 SRE operations, observability, and FinOps keep your GCP estate reliable, observable, and cost-efficient.
Continue across the cloud ecosystem
Explore how we deliver across every major cloud — select a platform to see its strengths and where it fits.
AWS
The most comprehensive cloud platform with the broadest service portfolio.
Insights from our GCP architects
Field-tested perspectives on GCP architecture, FinOps, platform engineering, and AI.
BigQuery at Enterprise Scale
Designing BigQuery data lakes and warehouses that scale to petabytes without rework.
FinOps on GCP
From cost visibility to unit economics with committed-use discounts and chargeback.
Cross-Cloud Best Practices
Patterns that work across AWS, Azure, and GCP for portable, vendor-neutral architecture.
GKE Platform Engineering
GKE, Anthos, and cloud-native delivery patterns for a self-service developer platform.
Generative AI on Vertex AI
Vertex AI with Gemini, guardrails, and RAG for enterprise-grade generative AI.
Answers to common GCP questions
Readiness Score
Your transformation readiness at a glance
- Free 30-minute consultation
- Vendor-neutral architects
- NDA available on request
- No obligation, no pressure
Ready to accelerate on Google Cloud?
Book a consultation with our GCP architects and start your journey with confidence — strategy, landing zones, migration, and operations.