Technology
Google Cloud
Ship scalable apps on Google Cloud with Cloud Run, managed services, CI/CD, and observability designed for reliability and clean operations.
Best For
Ideal use cases
Applications with data analytics needs
Projects requiring machine learning services
Teams familiar with Google ecosystem
Applications needing global CDN
Projects with Kubernetes requirements
What We Build
Projects we deliver
Data analytics platforms
Machine learning applications
Kubernetes-based applications
Serverless applications
API backends
Data processing pipelines
Global web applications
Containerized microservices
Ecosystem
Compatible tools & integrations
Seamless Integrations
Works with your existing stack
Use Cases
Recommended use cases
Applications with data analytics requirements
Machine learning and AI applications
Kubernetes-based architectures
Applications leveraging Google's ML APIs
Global applications needing low latency
Delivery
How we deliver
We design GCP architectures leveraging Google's data and ML capabilities
Use Terraform or Deployment Manager for Infrastructure as Code
Implement proper IAM policies and security
Set up monitoring with Cloud Monitoring and Logging
Design for scalability and cost optimization
FAQ
Frequently asked questions
Choose GCP for data analytics, machine learning applications, Kubernetes workloads, or when leveraging Google's ML APIs. AWS has a larger service catalog overall.
We optimize GCP costs by using committed use discounts, right-sizing resources, implementing auto-scaling, using preemptible instances where appropriate, and monitoring with Cost Management.
Yes. We use GCP's ML services like Vertex AI, AutoML, and pre-trained APIs when appropriate. We also build custom models when needed using TensorFlow or other frameworks.
AI
Add AI on top of this stack
Two common AI services that pair well with this technology, plus a fixed-scope gig to start quickly.
Regional
Delivery considerations for your region
Compliance & Data (EU)
For Germany/EU delivery, we keep GDPR-first patterns: data minimisation, purpose-limited storage, and explicit access boundaries.
We can work under a DPA (template available on request) and implement pragmatic retention/deletion flows when needed.
- GDPR-first architecture patterns (generic, no legal claims)
- DPA template available on request
- Retention/deletion and export flows where required
- Least-privilege access and safe logging defaults
- Documented data flows and access boundaries
Timezone & Collaboration (EU)
We align to EU working hours with CET-friendly collaboration windows and async progress updates.
We keep delivery predictable: weekly milestones, documented decisions, and clear scope control.
- EU overlap with CET-friendly windows
- Async-first delivery with written decisions
- Weekly milestone demos and progress checkpoints
- Clear change control to avoid surprises
- Escalation path for blockers and risks
Engagement & Procurement (EU)
We support procurement-friendly engagements with clear scopes, milestone plans, and documentation that stakeholders can review.
For EU teams, we can structure invoices and milestones for EUR-based engagements where appropriate.
- EUR-based engagements and invoicing options
- Discovery-first option to reduce delivery risk
- Milestone-based billing and scope sign-offs
- Vendor onboarding documentation on request
- Transparent change control and approvals
Security & Quality (EU)
We prioritise reliability: reviewable PRs, predictable releases, and tests that protect critical paths.
Performance budgets and clear release discipline keep the product stable as it grows.
- CI-friendly testing: unit + integration + smoke tests
- Performance budgets + bundle checks
- Release checklist + rollback-safe deployments
- Security checklist for auth and sensitive data flows
- Observability hooks (logs + error tracking) ready for production
Want to scope this properly?
Need GCP help? Share your workload and we’ll propose architecture + milestones that keep delivery predictable. EUR-based engagements.
Reply within 2 hours. No-pressure consultation.