Multi-cloud engineering
We design landing zones, identity, networking, and managed services across AWS, Azure, and GCP — so you pick platforms for workload fit, not vendor lock-in panic.
Hyperscalers
We meet you on the cloud you already run — or design a deliberate split when one platform is not enough.
Breadth, ecosystem, and battle-tested primitives
EKS, RDS, Lambda, VPC, IAM, and the services teams already expect — structured into accounts that stay auditable.
EKSLambdaRDSS3EC2IAMEnterprise identity and Microsoft-native estates
Entra ID, AKS, Azure SQL, and hybrid patterns that fit shops already living in the Microsoft stack.
AKSFunctionsSQLDevOpsPower BIEntraData, Kubernetes, and clean networking
GKE, BigQuery, Cloud Run, and VPC design that shines when analytics and containers are core to the product.
GKE
BigQuery
Firebase
LookerGCSIAMReference architecture
From edge to governance — layers with clear owners, so product teams ship without reinventing the platform.
Org/folder structure, baselines, guardrails, and shared services so new environments are boring — in the best way.
Least-privilege IAM, federation, and workload identity so humans and machines authenticate the same disciplined way.
Hub-spoke or shared VPC patterns, private connectivity, and DNS that ops can troubleshoot at 2 a.m.
Tags, budgets, and architecture choices that keep unit economics visible as you scale regions and teams.
Technologies
Real logos for the services and platform tools we wire into landing zones, pipelines, and day-2 ops.
FinOps
Consistent tagging, cost allocation, and dashboards finance and engineering can both trust.
Idle disks, oversized nodes, and always-on waste removed on a cadence — not a one-off cleanup.
Savings Plans / reservations where usage is stable; spot/preemptible where workloads tolerate it.
Spend spikes paged early with owners — so surprises show up in Slack, not the quarterly review.
Capabilities
Separation of prod, non-prod, security, and shared services with clear blast-radius boundaries.
Private links, VPN/Direct Connect/ExpressRoute/Interconnect, and zero-trust pathing to on-prem.
Right-sized databases, containers, and serverless — chosen for ops load, not fashion.
Preventive controls and evidence trails that satisfy security without blocking every deploy.
Where it lands
Multi-tenant platforms with clear blast radius and cost per customer.
Landing zones, hybrid connectivity, and identity that matches how you already work.
Warehouses, pipelines, and GPU estates with FinOps that survive experimentation.
Private networking, evidence trails, and controls that auditors can follow.
Outcomes
Product APIs stayed on AWS; warehouse and ML pipelines moved to BigQuery — with clear data contracts and cost owners.
Clear cost owners per domainManagement groups, Entra-aligned RBAC, and private AKS for workloads that needed Microsoft-native identity.
Audit-ready in first waveUntagged spend, idle disks, and oversized nodes cleaned up — then budgets and anomaly alerts locked the gains.
40% waste cut in 90 daysWhy Zupitrix
We recommend AWS, Azure, or GCP based on fit — not because one logo is on our homepage.
We build foundations product teams can self-serve from, not one-off snowflake accounts.
Controls that block real risk paths — and stay out of the way of healthy delivery.
Workloads, constraints, skills, and compliance mapped in one workshop week.
Target architecture, account model, and migration/modernization sequence.
Landing zone, IaC, and a thin production-shaped slice to prove the pattern.
Runbooks, FinOps cadence, and handover so your team owns the platform.
FAQ
Keep exploring
Let's build something amazing together. Contact us to discuss your project and see how we can help bring your vision to life.
Fill in the form and we'll respond within one business day — personally, not with a template.
