Technology · Google Cloud
Google Cloud,
used surgically.
GCP workloads where Google-grade strengths apply: analytics, managed runtimes and global networking, integrated pragmatically.
was born here
petabyte-scale analytics
private fibre network
energy matching
Why Google Cloud
Certain problems
are Google-shaped.
Data analytics, ML inference and globally distributed traffic play to GCP strengths, BigQuery querying terabytes casually, Cloud Run scaling to zero, premium networking riding Google's own fibre. We place workloads there when those advantages are real.
- BigQuery analytics
- Cloud Run services
- Managed PostgreSQL
- Global load balancing
- Pub/Sub eventing
- Identity-aware access
What we build
Six ways we build
with Google Cloud.
Each engagement shaped around your goals rather than a fixed package.
Data warehouses
BigQuery models fed from product databases and spreadsheets.
AnalyticsCloud Run services
Containerised apps scaling to zero between requests.
ComputeManaged SQL
Cloud SQL instances tuned, replicated and backed up.
DataEvent pipelines
Pub/Sub decoupling services with retries and DLQs.
MessagingGlobal front doors
Load balancers and CDN at Googleu2019s network edge.
NetworkingIAM & security
Workload identity and least-privilege service accounts.
SecurityDelivery approach
Containers in,
servers out.
Cloud Run gives most web workloads everything they need: HTTPS, autoscaling and per-request billing, minus cluster babysitting. Where Kubernetes genuinely fits, GKE exists; where it does not, we say so and keep your bill human.
The ecosystem
Services that
compose cleanly.
GCP pieces interconnect with sensible defaults, less wiring glue than most clouds demand.
Our process
Start small,
grow informed.
Proof-of-value projects prove cloud benefits before company-wide commitments.
Workload review
Current systems assessed for cloud-fit and migration appetite.
Step 01Landing setup
Projects, billing guards and networks scaffolded correctly.
Step 02Pilot workload
One real service migrated, measured and documented.
Step 03Expand deliberately
Remaining systems follow evidence, enthusiasm optional.
Step 04Governance
Billing caps,
budget dashboards.
Cloud economics stay friendly when guardrails exist before the first deploy.
Budget alerts
Thresholds wired to real inboxes early.
Org policies
Risky resource types blocked org-wide.
Documented topology
New engineers onboard from diagrams, folklore.
FAQ
Common questions.
GCP or AWS for us?
Analytics-heavy and ML-curious teams gain real ground on GCP; general web hosting splits evenly. Requirements decide.
Is BigQuery expensive?
It prices per query scanned; modeled well, dashboards cost cents. Unbounded scans are the real danger, guarded against.
Can you lift-and-shift our VPS?
Possible but wasteful. Small re-platforming to managed services usually costs similar and pays back monthly.
Do you support hybrid setups?
Yes, partial migrations with VPN peering are common intermediate states.
How fast is a Cloud Run pilot?
Typically days: containerise, deploy, point DNS. The platform removes ceremony.
Who handles compliance paperwork?
We configure technical controls; formal audits coordinate with your compliance partners.
