Services
You don't need a big consultancy to ship dependable infrastructure. You need the right expertise, focused on the right problems, for as long as it takes.
Every engagement starts the same way: a clear-eyed look at what exists, what hurts, and what would help most.
Practice areas
The challenge: clusters that "work" until a release, environments that drift, and teams afraid of the deploy button.
What we help with: right-sizing Kubernetes (or choosing a simpler platform), GitOps and CI/CD, networking, secrets, policy guardrails, observability, backup, and upgrades.
Typical outcomes: faster, safer releases; consistent environments; clear ownership; less operational toil.
Explore Kubernetes engineeringThe challenge: aging hosting, expiring contracts, or a strategic move to the cloud, and a team that can't afford a chaotic transition.
What we help with: discovery and dependency mapping, landing zone and target architecture, data and workload migration, security and networking, cutover and rollback readiness, post-migration stabilization.
Typical outcomes: a controlled transition with fewer surprises, clear ownership, and an operating model the team can run.
Plan your migrationThe challenge: cloud bills that grow faster than revenue, no one owns the spend, and cost reviews that go nowhere.
What we help with: cost visibility and tagging, anomaly detection, rightsizing and idle cleanup, commitment strategy, data-transfer and storage optimization, and architecture decisions that reduce long-term cost.
Typical outcomes: clearer ownership of spend, fewer surprise bills, and cost decisions tied to product priorities.
Bring clarity to cloud spendThe challenge: shipping fast without building fragile systems, one-person deployments, no real environments or backups, and a cloud bill nobody understands.
What we help with: account and security setup, deployment pipelines, infrastructure as code, monitoring and alerting, backups, cost guardrails, and a roadmap from MVP to scale.
Typical outcomes: foundations that fit today's stage, a team that can ship independently, and no expensive rewrites lurking ahead.
See startup foundationsThe challenge: GPU bills with no owner, model deploys that depend on one person, and platform hype that doesn't match your workload.
What we help with: GPU cluster design, model serving (vLLM, KServe, Triton), MLOps pipelines, experiment tracking, security for training data, and AI cost discipline.
Typical outcomes: a serving path your engineers can operate, GPU spend with an owner, and MLOps that survives staff changes.
Explore AI & ML infrastructureThe challenge: an audit deadline approaching, access nobody can justify, and evidence that lives in someone's inbox.
What we help with: cloud security posture, identity and secrets, policy-as-code, gap assessments for SOC 2, ISO 27001, and GDPR, and automated evidence collection.
Typical outcomes: an audit you walk into instead of brace for, access you can defend, and evidence that collects itself.
Explore security & complianceEngagement models
The right shape depends on your team, your maturity, and your immediate constraints. We'll recommend one, and adjust as things change.
A focused review of your systems, cost, or risks. You get a prioritized, honest read on what matters, and what doesn't.
A bounded engagement to build or fix something specific: a pipeline, a cluster, a migration wave, a cost cleanup.
Senior engineering capacity on a recurring basis, without the cost or overhead of a full-time hire you don't need yet.
As your platform matures, we stay close enough to guide architecture, review changes, and keep the system honest.
We're deliberately small and hands-on. If your problem doesn't need us, or a different tool or approach would serve you better, we'll tell you. That's part of the job.
Common questions
Usually within one to two weeks, depending on current workload. Assessments can often begin almost immediately, we'll confirm timing when we talk.
Yes, much of our work is with teams that have grown past the "one person deploys everything" stage and need structure without bureaucracy. We meet teams where they are.
Where it makes sense, yes. Replacing working tooling for its own sake is waste. We change tools when the change clearly improves delivery, reliability, or cost.
Documentation, runbooks, pairing, and reviews are part of every engagement. We measure success by whether your team can operate what we build without us.
It depends on scope and shape. We'll give you a clear estimate after an initial conversation, no vague proposals, no surprises on the invoice.
Describe your situation in a few lines. We'll respond with an honest read on what would help most.