From the first GCP project to a multi-region production environment, we design cloud architectures that are secure, cost-efficient, and built for the workloads you actually run. No over-engineering. No vendor lock-in where it can be avoided.
Warehouses, pipelines, AI workloads, and applications all inherit the strengths and the sins of the foundation beneath them. Getting the foundation right once is dramatically cheaper than repairing it under load.
A weak foundation shows up later as symptoms with confusing names: a security review that fails on tangled permissions, a bill that doubles without warning, an outage caused by two systems sharing what should have been separated, a migration that stalls because everything depends on everything.
We design foundations the way you would want them audited: environments separated, access least-privileged, networks closed by default, everything defined as code, and every euro of spend attributable to a workload.
Every cloud foundation we ship is built layer by layer. Click through them.
Project and account structure, organizational hierarchy, billing accounts, and environment separation (dev, staging, production) designed from the start.
The landing zone is the constitution of your cloud: it decides who can create what, where workloads live, and how blast radius is contained. Retrofitting one onto a grown-wild account is painful, which is why we establish it first, even on small engagements.
VPC design, subnet planning, firewall rules, private connectivity, VPN and interconnect configuration. Secure by default, open only where required.
Services talk over private paths; public exposure is a deliberate exception with a documented reason. This single discipline eliminates a large share of real-world cloud breaches.
Right-sized compute for each workload: serverless (Cloud Run, Lambda), managed Kubernetes, or dedicated VMs. No over-provisioning, no under-building.
Our default is serverless-first for spiky and event-driven workloads, with dedicated capacity only where sustained load or special hardware (GPUs) justifies it. The result is a compute bill that follows your traffic instead of your fears.
Object storage, managed databases, caching layers, and archival tiers. Data placed where it performs best and costs least.
Lifecycle policies move aging data to cheaper tiers automatically, and backups are tested by restoring them, because an unrestored backup is a hope, not a plan.
Centralized logging, uptime checks, performance dashboards, and incident alerting. Know when something is wrong before your users do.
Alerts are tuned to be rare and real: every page means action. Dashboards answer the three operational questions: is it up, is it fast, and what changed.
Budget alerts, resource labeling, committed use discounts, and regular cost reviews. Your cloud bill stays predictable and justified.
Every resource is labeled to a workload and owner from day one, so the invoice reads as a business report instead of a mystery. Committed-use planning comes only after real usage data exists.
Deepest on Google Cloud, fluent across the rest, and honest about which one fits your workload and your team.
Our deepest expertise. BigQuery, Cloud Run, Cloud Functions, GKE, Pub/Sub, IAM, and the full GCP data and AI stack. Ideal for data-heavy and analytics-driven organizations.
EC2, S3, Lambda, RDS, Redshift, SageMaker, and the broader AWS ecosystem. The widest service catalog and the most mature enterprise tooling.
Azure Functions, Synapse, Fabric, AKS, and deep Microsoft 365 integration. The natural fit for organizations already running on the Microsoft stack.
Map current workloads, constraints, compliance needs, and growth expectations. If infrastructure already exists, we audit it before touching it.
The blueprint: landing zone, network topology, compute and storage strategy, IAM model, and cost projections. You approve before anything is provisioned.
Everything as code (Terraform), applied through review. Environments come up identical, documented, and reproducible.
Monitoring live, budgets armed, runbooks written. Handoff training for your team, with optional ongoing operations support.
An architecture is finished when someone who was not in the room can operate it from the documentation. That is the bar every foundation we ship has to clear.
Usually, yes. We audit what exists, fix the riskiest findings in place, and only recommend re-platforming when the foundation genuinely cannot carry your roadmap. Rebuilds are the exception, not the pitch.
Attribution first: every resource labeled to a workload, budgets with alerts, right-sizing on evidence, and committed-use discounts only after usage stabilizes. Cost control is architecture, not a monthly panic.
We prefer portable primitives (containers, Terraform, open formats) and isolate provider-specific services behind clear seams. Some managed services are worth their lock-in; we make that trade explicit rather than accidental.
Yes. Region pinning, encryption policy, audit logging, and least-privilege access are standard practice in our builds, and we design to the frameworks your industry answers to.
Tell us what you run today and where it is heading. We will design the architecture that carries it.