Infrastructure sized for the traffic you actually have.
AWS, Google Cloud and Azure architecture built for your real cost and scale profile, not the reference architecture from a vendor conference talk.
Deep expertise across the major clouds, matched to what fits, not what we're certified in.
Amazon Web Services
The broadest service catalog, still the default for most enterprise workloads.
Microsoft Azure
The natural fit for teams already running Microsoft infrastructure.
Google Cloud
Strong data and AI/ML tooling for teams building on Google's stack.
Cloud infrastructure, from migration to steady-state.
Cloud Migration
Moving workloads off legacy infrastructure with a plan, not a weekend of downtime.
Infrastructure as Code
Terraform and Pulumi-based environments that are reproducible and reviewable.
Container Orchestration
Kubernetes and container platforms sized for your actual workload, not maximum theoretical scale.
Cost Optimization
Right-sizing, reserved capacity and architecture review to stop the bill from creeping up quietly.
Disaster Recovery
Backup and failover architecture tested before you need it, not discovered during an outage.
Multi-cloud & Hybrid
Architecture that spans providers when there's a real reason to, not vendor lock-in avoidance for its own sake.
Built cloud-native, not lifted-and-shifted.
Pay for what runs, not what's idle
Lambda, Cloud Functions and Azure Functions-based systems that scale to zero and to spikes without you managing a server.
Code that runs in response to real events, not a server idling and waiting.
Managed entry points handling auth, throttling and routing in front of your functions.
Reliable event delivery between services without building the plumbing yourself.
Scale to thousands of requests or to zero, and pay for exactly what happened in between.
Independently deployable, not a distributed monolith
Services split around real business boundaries, with the contracts and observability to keep them manageable.
Boundaries drawn around business domains, not just whatever was easiest to split.
Clear interfaces between services so one team's change doesn't break another's.
Services find and talk to each other reliably as the system grows.
Ship one service without redeploying the entire system.
Portable by default, not locked to one host
Docker and Kubernetes-based deployments that run the same in staging as they do in production.
Consistent, versioned images built the same way every time.
Scheduling, scaling and self-healing handled by the platform, not a runbook.
Repeatable, versioned deployments instead of hand-edited manifests.
Capacity that responds to real load, not a fixed number of instances.
Multi-tenant from the architecture up
SaaS applications engineered for tenant isolation, billing and scale from the first sprint, not retrofitted later.
Data and resource isolation designed in from the start, not bolted on after the first enterprise customer.
Metering and billing wired directly into the platform your customers use.
Access control and data boundaries enforced per customer, not per deployment.
Add tenants and load without a re-architecture every time you grow.
Most teams don't need the architecture built for Netflix.
Over-engineered infrastructure is expensive to run and slow to change. We scope for where you are now, with a clear path to scale when the traffic actually shows up.
Current and projected traffic, not industry benchmarks
Not the stage three funding rounds away
Architecture that doesn't lock you into one vendor's pricing
The right deployment model for your compliance and scale needs.
Public Cloud
Fastest to deploy and scale, with no hardware to manage: the default for most new workloads.
Private Cloud
Dedicated infrastructure for workloads with strict data residency or compliance requirements.
Hybrid Cloud
Sensitive workloads on-premises, everything else in the cloud, connected as one system.
Multicloud
Spread across providers only when there's a real reason to, such as resilience, better pricing or a regulatory need.
Cloud migration questions we hear most often.
Still have questions? Talk to our cloud team.
A single application can move in a few weeks. A full enterprise migration with multiple systems, data stores and compliance requirements typically runs three to nine months, phased so nothing goes down during the move.
It depends heavily on scope. A single application migration can range from a few thousand dollars to tens of thousands, while a full infrastructure overhaul is a larger, phased investment. We scope it after an architecture review, not before.
Whichever fits your existing stack, compliance needs and team's familiarity. We're not tied to one vendor's certification path, so our recommendation is based on your workload, not our incentives.
Not always. A straightforward lift-and-shift gets you off legacy infrastructure fast; a deeper refactor to cloud-native patterns comes later, once you know which parts of the system actually need it.
Not sure if your infrastructure is over- or under-built?
Tell us what you're running today, and we'll give you an honest read on what needs to change.