Cloud computing run by operators who own the rack.
We design, build, and run cloud-native production systems across every major public cloud. When the math says repatriate, we host you on our own colocation footprint instead.
- AWS · Azure · Google Cloud · Oracle · IBM · DigitalOcean · Vultr · Akamai Cloud (Linode) · hybrid
- EKS · ECS · GKE · AKS · OKE · IKS · DOKS · LKE · App Service · bare-metal KVM
- Terraform · OpenTofu · Pulumi · Ansible · Crossplane
- multi-region · multi-cloud DR · colo failover
- Amazon Web ServicesAWSBroadest service catalog; default for most greenfield workloads and regulated US-region work.
- Microsoft AzureAzureStrongest fit when identity, Microsoft 365, or enterprise agreements already anchor the stack.
- Google CloudGCPData, analytics, and Kubernetes-native workloads; BigQuery and GKE remain category leaders.
- Oracle Cloud InfrastructureOCIOracle DB, EBS, and Java workloads where the licensing math makes OCI the honest answer.
- IBM CloudRegulated industries, Power and Z workloads, and enterprises already on Red Hat OpenShift.
- DigitalOceanPredictable pricing for SMB and product teams; clean APIs and managed Postgres and Kubernetes without the hyperscaler tax.
- VultrBare-metal and high-frequency compute in regions the hyperscalers underserve; competitive egress pricing.
- Akamai Cloud (Linode)Linode developer ergonomics on Akamai's global edge; strong for latency-sensitive or distributed workloads.
Cloud Computing, in plain terms.
Ongoing cloud operations and architecture for production workloads. We stand up the accounts, write the Terraform, wire the networking, and stay on the platform after launch. Container workloads on EKS, ECS, GKE, AKS, IBM Cloud Kubernetes Service, OKE, and DigitalOcean Kubernetes, plus Akamai Cloud's LKE and bare-metal KVM where Kubernetes is overkill. Serverless where it earns its keep. Data pipelines on managed services and warehouses. Inference endpoints for AI workloads when GPU supply allows it. Your team gets a platform they can ship into.
Multi-cloud and hybrid as a deliberate choice, not a buzzword. We run primary workloads in one cloud, DR in another, and pin regulated tiers to our colo when policy or economics demand it. Identity, secrets, observability, and network fabric are unified across the footprint so your engineers do not learn three portals. We use the cloud-native primitives where they win and the open-source stack where lock-in would hurt.
Day-two operations done by senior engineers. Patch cycles, capacity planning, cost reviews, incident response, and the boring runbook work that decides whether the platform actually holds up. We tune autoscaling against real traffic, kill orphaned resources, and surface the egress and inter-AZ charges before they become a board conversation. The same team that built it answers the page at 03:00.
Common triggers for this engagement.
- 01You have cloud workloads in production and no one senior watching them
- 02You are building a cloud-native system and want the architecture right the first time
- 03You are running across two or more of AWS, Azure, Google Cloud, Oracle, IBM, DigitalOcean, Vultr, or Akamai Cloud and want one operator covering all of them
- 04Your current bill is climbing faster than your revenue and nobody can explain why
- 05You need a hybrid footprint — some workloads in cloud, some in colo, one identity plane across both
Questions teams ask before signing.
Do you push cloud over colocation?
No. We own racks at carrier-neutral facilities and operate AS54098, so we have no resale incentive either direction. We run the numbers — steady-state compute, egress, storage IO, GPU duty cycle — and place the workload where it actually belongs.
Which clouds do you support in production?
Eight, deliberately. AWS, Microsoft Azure, and Google Cloud at the deepest level of practice. Oracle Cloud Infrastructure for Oracle DB and Java workloads. IBM Cloud for Power, Z, and OpenShift-anchored estates. DigitalOcean, Vultr, and Akamai Cloud (Linode) for workloads where the second-tier providers win on price, region coverage, or developer ergonomics. We also run hybrid topologies that span public cloud and our own colo over private cross-connects and BGP transit.
Can you take over an existing cloud footprint?
Yes. We start with an account-level audit — IAM, networking, cost, security posture, deployment pipelines — and give you a written plan before we touch anything. Then we take operational ownership on a fixed schedule, not a vague handoff.
How is this different from your cloud migrations service?
Migrations is the move. Cloud computing is what happens after — running, tuning, and evolving the platform once it is live. Many engagements start as a migration and continue as managed operations.
Frequently scoped alongside this work.
Cloud Migrations
Lift-and-shift, refactor, cloud-to-cloud, and repatriation across AWS, Azure, Google Cloud, Oracle, IBM, DigitalOcean, Vultr, and Akamai Cloud (Linode). We plan the cutover with the network already in our control.
Cloud Consulting
Multi-cloud, hybrid, P2V migrations, and cloud-to-cloud network architecture. We tell you which one your stack actually needs — and which one to walk away from.
Data Center Colocation
Carrier-neutral colocation with the network already terminated. Tier III facilities, HIPAA-ready environments, and an engineer to point at the cage.
DevOps
CI/CD that ships, infrastructure-as-code that holds together, and an on-call rotation an engineer can actually live with. We build the pipeline with your team, then walk them through running it.