// what we build · cloud development
Cloud migration, infrastructure engineering, and DevOps for companies that have outgrown their current setup.
// the problem
An IT director gets the green light. The pitch was clean: lift and shift, six weeks, done. Cloud is cheaper, faster, the future. Everyone claps. Four months in, half the workloads are in the cloud, the other half are still on-prem, two teams are maintaining two environments with no end date - and the cloud bill is somehow $40K a month higher than the old servers cost. Nobody says that out loud, because admitting it would mean admitting everyone agreed to a plan that was never going to work.
If your cloud bill is higher than your on-prem costs and performance is worse, you didn't migrate - you just moved the mess. The promise is real: reliability, scalability, cost efficiency, all achievable. But only if the migration is designed for the destination, not just the departure. We've done the clean migrations, and we've been called in on the ones that weren't. We know the difference.
// what we build
On-prem to cloud, cloud-to-cloud, or already there and bleeding money - here's what it means to work with us.
On-prem to cloud, cloud-to-cloud, hybrid - we've done all of it. The goal isn't to be in the cloud; it's a system that's more reliable, more scalable, and cheaper than what you had. That means understanding your workloads before touching them and migrating incrementally, so the business keeps running while the infrastructure changes underneath it.
There's a real difference between an app that runs in the cloud and one designed for it. We build cloud-native from the ground up - microservices, containerized workloads, stateless services - so when traffic spikes your infrastructure responds instead of buckles, and you pay for what you use, not what you provisioned in a meeting six months ago.
Terraform, ARM templates, Pulumi - infrastructure that's version-controlled, reproducible, and reviewable like any other code. The environment you deploy to is the environment you tested in. Your infrastructure becomes something you can audit, roll back, and rebuild from scratch in a disaster - which matters more than people think, usually right after they need it.
Automated pipelines, deployment strategies, monitoring, and alerting - the machinery that turns "someone pushed code" into "that code is in production and we have confidence it works." Faster releases, fewer incidents, and a team shipping features instead of babysitting deployments. When something does go wrong, you know in seconds - not days.
Cloud is cheaper than on-prem - when it's set up right. When it's not, it's very expensive chaos with a better dashboard. We audit your spend, right-size what's over-provisioned, restructure what's inefficient, and implement the reserved-instance and savings-plan strategies that make the economics work. The cloud bill should go down after we're involved, not up.
Azure, AWS, GCP - we work across all three and we're not on anyone's partner commission. The right platform fits your workload, your team's expertise, and your ecosystem. That's a technical question, not a vendor preference. We'll tell you which one makes sense for your situation, without a vendor briefing influencing the answer.
// two things we've learned
2×
the cost when you have to migrate twice
The "big bang" migration is seductive: draw a line, move everything at once, done. In practice it's a high-stakes bet where the blast radius of getting it wrong is your entire production environment. Every shortcut on the first pass - skipping the architecture review, moving things before understanding them - shows up eventually, sometimes eighteen months later. We build things to work. Less exciting than "move fast and figure it out," and significantly fewer 3am phone calls.
// where your workloads need to live
Deep Microsoft ecosystem integration, enterprise identity through EntraID, and strong support for .NET workloads and hybrid environments. Our most common platform - we've built on Azure Functions, Data Factory, CosmosDB, Blob Storage, and more. If your organization runs on Microsoft, this is usually where the migration conversation starts.
Scale, the broadest managed service catalog in cloud, and the largest ecosystem of tooling and expertise. When you need Lambda, RDS, S3, or a service that doesn't exist anywhere else yet, this is the platform. AWS was first, and in a lot of categories it's still best.
Kubernetes leadership - Google invented it - and the strongest managed data platform in cloud. If your workload is data-heavy, ML-driven, or you're running Kubernetes at scale, GCP deserves a real look, not just a checkbox comparison.
// the stack
ready when you are
Tell us what you're running and where. We'll tell you what we'd do with it - no vendor briefing required.
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