Infrastructure that
scales itself.
Cloud done properly means you ship faster, sleep better, and pay only for what you use. That is what we set up.
Cloud Architecture
Well architected AWS and Azure environments, networking, security, and cost controls designed before anything ships.
Containers & Kubernetes
Dockerized services orchestrated with Kubernetes (EKS, AKS, GKE) for portable, self healing workloads.
CI/CD Pipelines
Automated build, test, and deploy pipelines so releases are routine, reversible, and boring, exactly as they should be.
Infrastructure as Code
Terraform and IaC so your whole environment is versioned, reviewable, and reproducible in any region.
Observability
Centralized logging, metrics, tracing, and alerting so you find problems before your users do.
Security & Cost Control
Least privilege IAM, secrets management, autoscaling, and cost monitoring that keeps the cloud bill honest.
The engagements teams actually bring us.
Nobody buys Kubernetes. They buy Friday deploys that do not ruin weekends, cloud bills that stop climbing, and infrastructure that survives a traffic spike. These are the problems behind the work.
Cloud Migration Without the Horror Story
Moving from on premise servers or a legacy host to AWS or Azure, planned workload by workload instead of as one giant leap. We assess what should move as is, what needs refactoring, and what should honestly be retired, then migrate in phases with rollback plans at every step. For application level rewrites along the way, this work pairs with our migrations and modernization service.
DevOps as a Service
Most companies need senior DevOps expertise but not a full time DevOps department. We act as your infrastructure team on a monthly retainer: pipelines, deployments, scaling, patching, and incident response, with named engineers who know your stack instead of a ticket queue that does not.
Cloud Cost Rescue and FinOps
The engagement that usually starts with a screenshot of a shocking invoice. We audit your environment for oversized instances, orphaned resources, missing reservation coverage, and egress leaks, then fix the architecture behind the waste, not just the symptoms. Industry data says about 29 percent of cloud spend is wasted. Finding your share of that number is usually the fastest ROI in this entire catalog.
Platform Engineering for Growing Dev Teams
When ten developers share one staging environment and every release needs a meeting, shipping slows to a crawl. We build internal developer platforms with self service environments, preview deployments per pull request, and golden path templates, so your engineers ship product instead of fighting infrastructure.
Reliability, SRE and Disaster Recovery
Uptime targets mean nothing without the engineering behind them: multi zone architecture, automated failover, tested backups, and runbooks your team has actually rehearsed. We define recovery time and recovery point objectives with you, then build and pressure test until the numbers hold. Backed by real monitoring and observability, you find out about problems from an alert, not from Twitter.
AI and ML Infrastructure
GPU workloads, vector databases, and LLM powered features change the infrastructure math entirely. We build the platform layer for AI products, from model deployment and serving to MLOps pipelines that retrain and ship models the way CI/CD ships code. If AI is on your roadmap, your infrastructure is where it succeeds or dies.
Lift and Shift Is a Starting Point, Not a Strategy.
Rehosting a legacy monolith onto cloud VMs is the fastest migration and the most expensive way to run software. You end up renting someone else's hardware to run the same inefficient code. We rehost when speed matters, then replatform and refactor the workloads where the savings actually live, in that order, with the business case for each step.
Secure by Default, Not by Audit.
Least privilege IAM, encrypted secrets, private networking, and hardened images are baked into every environment we build, and everything is defined as code so security review means reading a pull request, not a hope. For teams that need eyes on glass around the clock, this connects directly to our managed security operations.
From manual to fully automated.
We assess where you are, then build the platform that lets your team ship safely and often.
Assess & Plan
We review your current setup, deploy process, and pain points, then design the target architecture and migration path.
Build the Platform
We provision infrastructure as code, containerize workloads, and stand up CI/CD with quality and security gates.
Migrate & Harden
We move workloads with zero downtime strategies, add monitoring and autoscaling, and pressure test for failure.
Hand Over & Optimize
We train your team, document everything, and tune for cost and performance on an ongoing basis.
The cloud math most vendors will not put in writing.
Cloud projects earn their bad reputation from surprise invoices and missed savings promises. Here are the real numbers, including the ones that do not flatter the cloud.
A small migration of 10 to 20 workloads typically runs $50,000 to $150,000. Mid size migrations of 50 to 100 workloads run $150,000 to $350,000, and large enterprise programs exceed $500,000. The two costs that blow up budgets are refactoring effort and the double run period where you pay for old and new infrastructure at the same time. We budget both explicitly, workload by workload, instead of hiding them in a contingency line.
Eventually, and only if it is managed. Here is the honest curve: year one usually costs 40 to 80 percent more than your current baseline because of dual running, training, and rework. Costs stabilize in year two, and by year three or four, well managed environments run 15 to 30 percent below the old baseline. Breakeven typically lands at 24 to 36 months. Anyone promising savings in month six is selling you the invoice shock that follows.
No, and a cloud vendor should be able to say that. Cloud wins for variable workloads, growing teams, and anyone who cannot staff infrastructure around the clock. On premise can win for stable workloads running at high utilization on hardware you already own, with the break even sitting around 60 to 70 percent steady utilization. Some companies are rightly repatriating specific workloads in 2026. We run the numbers per workload and recommend hybrid setups when that is what the math says.
Typical engagements cut 20 to 40 percent of monthly spend. The savings come from rightsizing instances against real utilization data, reserved instance and savings plan coverage that alone cuts committed compute by 30 to 60 percent, killing orphaned resources, tiering storage, and fixing egress heavy architectures. On a $50,000 monthly bill, that is $120,000 to $240,000 a year, which is why the audit pays for itself before it is finished.
Do the math with real numbers. A senior DevOps engineer costs $160,000 or more fully loaded, covers one time zone, and takes vacations. A managed DevOps retainer at a fraction of that gives you a senior team with on call coverage and no single point of failure. Hiring in house makes sense once infrastructure work is a full time job for two or more people. Until then, outsourcing is usually stronger coverage for less money, and we will tell you when you have crossed that line and should hire.
You do, without exception. Cloud accounts, domain names, Terraform code, pipeline configs, and every credential belong to your organization from day one. Because the entire environment is infrastructure as code in your repositories, any competent engineer could take over tomorrow. We keep clients by being good, not by holding keys.
Send us a recent cloud invoice and read only access, and we will show you what we would fix. If we cannot find meaningful savings or risk, we will say so and cost you nothing.
Questions about
Cloud Native & DevOps
Both are excellent; the right choice depends on your existing stack, team skills, and enterprise agreements. We work across both and recommend based on your situation, not a preference.
Not always. Kubernetes is powerful but adds complexity. For many teams, managed services or simpler container platforms are a better fit. We right size the architecture to your actual scale.
Yes. We assess workloads, choose the right strategy per app (rehost, replatform, or refactor), and move with minimal downtime, see our Migrations & Modernization work.
Autoscaling, right sizing, reserved capacity, and continuous cost monitoring with alerts. We treat the cloud bill as an engineering metric, not an afterthought.
Faster, safer releases. Automated testing catches regressions, deploys become routine and reversible, and your engineers ship features instead of fighting fires.
Stop guessing.
Start building what works.
Book a free discovery call. We'll map your needs, scope the work, and give you an honest plan, timeline, cost, and trade offs included.
[email protected]