01
Cloud migrations
On-prem to cloud, cloud-to-cloud, or modernization in place. Lift-and-shift when speed matters, refactor when the cost or operational profile demands it.
05Cloud & DevOps
Cloud Infrastructure & DevOps Consulting
Cloud environments that scale predictably, cost what they should, and don't wake the on-call engineer up at 3 a.m. AWS, GCP, Azure, Kubernetes, Terraform.
Who this is for
Engineering leaders dealing with cloud bills that have outgrown the value, infrastructure that breaks under load, or migration projects (lift-and-shift or modernization) that have stalled — and teams that want production reliability without hiring an in-house SRE org.
What we solve
Most teams overspend on cloud, under-monitor production, and accumulate infrastructure debt that no one wants to touch. We treat infrastructure as a long-lived product — observable, version-controlled, cost-tracked, and documented well enough that the next engineer can take over.
We design, migrate, and operate cloud infrastructure for teams that want production reliability without dedicating their roadmap to infrastructure work. Architectures sized for the load you have today and the one you'll have in two years — not the imaginary one your previous vendor sold you.
What we build
The systems we've shipped most often.
02
Kubernetes platforms
Managed Kubernetes (EKS, GKE, AKS) set up correctly the first time — networking, ingress, secrets, observability, autoscaling, multi-environment promotion.
03
Infrastructure as code
Terraform modules for the actual infrastructure your team runs, peer-reviewed and version-controlled. No more clickops drift between environments.
04
CI/CD pipelines
GitHub Actions, GitLab CI, or ArgoCD pipelines with previews, gated promotions, automated rollback, and the test discipline to make continuous deployment safe.
05
Observability
Logs, metrics, and traces unified into Datadog, Grafana, or the open-source equivalent. Dashboards built around real failure modes, not vanity metrics.
06
Cost optimization
Right-sizing, reserved instances, spot/preemptible workloads, autoscaling tuned to actual traffic, and the FinOps discipline to stop the next bill from surprising anyone.
Capabilities
How the team is set up.
Cloud platforms
Certified across AWS, Google Cloud, and Microsoft Azure. We typically pick one cloud per project and stick with it. Multi-cloud is rarely worth its complexity unless regulation requires it.
AWSGCPAzureVercelCloudflareDigitalOcean
Orchestration & IaC
Kubernetes when scale, multi-tenancy, or operational maturity earns it. Otherwise simpler container platforms (ECS, Cloud Run, Fly.io) that cost less to operate.
KubernetesHelmTerraformPulumiArgoCDCrossplane
Reliability
SLOs defined and tracked, error budgets respected, on-call rotations supported by useful runbooks. Reliability work is engineering work, not after-the-fact firefighting.
DatadogGrafanaPrometheusOpenTelemetryPagerDutySentry
40%
Proof
average infrastructure cost reduction after migration
Across cloud migrations completed in the last 3 years; most savings came from right-sizing and database consolidation.
Selected work
All case studiesWhere we've done this work.
01FinTech
Modernizing a legacy payment gateway under PCI-DSS pressure
Strangler-fig migration from a PHP monolith to a Node.js microservices platform on Kubernetes. p95 latency dropped from 1.8s to 320ms, PCI-DSS audit passed, transaction headroom 4×.
60%load time reduction
02Healthcare SaaS
Multi-region Kubernetes migration for a clinical SaaS platform
Single-region VM in Frankfurt → three-region active-active EKS deployment. API response time dropped from 800ms to 40ms globally. HIPAA + GDPR audit closed without findings.
20×faster API responses globally
03Logistics
Document AI for a freight forwarder — 800/day, multilingual
A 12-person ops team manually classifying 800+ shipping documents a day became a 4-engineer + LLM pipeline doing it in minutes, with a 0.3% error rate. Customs holds dropped 80%.
70%less manual processing time
Process
Full delivery processHow we run this work.
01
Discovery
We ask the questions no one else asks. Business model, technical constraints, team capabilities, real deadlines. We read the documentation you haven't written yet.
02
Strategy
Architecture decisions made before a single line of code. Stack selection, deployment model, third-party dependencies — documented, debated, decided.
04
Ship
Zero-downtime deployments with rollback capability. Every release is tested, monitored, and documented. We don't disappear after launch.
05
Scale
Growth creates new problems. We stay engaged — performance tuning, infrastructure scaling, feature iteration. The relationship doesn't end at launch.
FAQ
Common questions
Which cloud should we choose — AWS, GCP, or Azure?+
All three are excellent for general workloads. Choose AWS if you need the broadest service catalog and your team's skills align there. Choose GCP if data and AI workloads dominate. Choose Azure if you are already deep in the Microsoft ecosystem (Office, Active Directory, Dynamics). For a single greenfield project, pick one and commit — multi-cloud is almost never worth the complexity unless regulation requires it.
Lift-and-shift or refactor when migrating?+
Lift-and-shift if speed matters and the application is well-behaved. Refactor (or strangler-pattern) if the application's operational profile (scaling, cost, reliability) is the actual problem. Most successful migrations are phased: lift-and-shift first to get out of the legacy environment, then refactor selectively where the payoff justifies it.
Do we need Kubernetes?+
Probably not, until you do. Kubernetes pays for its complexity when you have multiple services, real autoscaling needs, multi-tenancy, or operational discipline that benefits from declarative deployment. For a single-service application, simpler container platforms (ECS, Cloud Run, Fly.io) cost less to operate. We will give you an honest answer based on the workload, not a default to Kubernetes.
How much can cloud migration actually save?+
Mileage varies. We have seen 30–50% reductions on workloads that were over-provisioned in datacenters and under-tuned in cloud. We have also seen migrations cost more in cloud when the original architecture was data-egress-heavy. We model the cost in Discovery before committing to a number.
Do you handle compliance and security?+
Yes — we routinely work in SOC 2, HIPAA, ISO 27001, PCI DSS, and government compliance environments. Compliance is an engineering discipline (audit logging, access control, encryption, network isolation) layered onto well-architected infrastructure. We do not handle the audit itself; we make sure your infrastructure passes one.
Related services
Often paired with this one.
01
Full-Stack Web Development
End-to-end web applications — from API design to deployment pipelines. React, Next.js, Node.js, and the rest of the stack you'll actually run in production.
Learn more04
SaaS Development
Multi-tenant SaaS platforms with the unglamorous plumbing — RBAC, billing, organizations, audit logs, white-labeling — done right the first time.
Learn more06
AI & Intelligent Automation
LLM features, RAG systems, document AI, and workflow automation — integrated where they pay for themselves, not bolted onto everything.
Learn moreReady to scope it?
Most engagements start with a 30-minute discovery call. No pitch deck, no NDAs on day one — just an honest conversation about your problem.
Schedule a Call