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Production infrastructure,
handled.

Four focused services that turn unpredictable cloud bills, brittle Kubernetes setups, and AI prototypes into production systems your team can actually trust at 3 AM.

Your productionstack
Cloud Infrastructure
AWS · GCP · K8s
Cost Optimization
FinOps · −40%
Reliability Engineering
SRE · 99.95%
AI Infrastructure
LLM · RAG · GPU
Production-grade engineering · trusted across the stack
Start Here

If this sounds like you,
we know exactly where to start.

Most CTOs don't arrive shopping for "Kubernetes consulting." They arrive with a specific symptom. Match yours, jump directly to the answer.

01
When the bill won't stop climbing
Your AWS bill grew 2× faster than your usage this year — and nobody on your team has time to figure out why.
Cost Optimization
02
When the pager won't stop ringing
3 AM alerts, slow incident response, no SLOs — reliability is reactive, not engineered.
Reliability Engineering
03
When Kubernetes is consuming your team
Six weeks of senior engineering disappeared into K8s setup. You can't afford to keep paying that tax.
Cloud Infrastructure
04
When the AI prototype needs to ship
RAG pipelines, GPU autoscaling, vector DBs — your DevOps playbook breaks the moment inference traffic hits.
AI Infrastructure
05
When you need a second opinion
You inherited the stack. You're not sure what's safe to change. You need someone senior to look first.
Free Infrastructure Review
What We Do

Four services, built deep.

Not a service menu. Each one is a focused engagement with a defined scope, a defined deliverable, and a senior engineer who owns it end-to-end.

01 · Cloud Infrastructure

Production environments your team actually owns.

AWS, GCP, or Azure environments built the way they should have been the first time. Terraform-managed, Kubernetes done right, CI/CD that engineers trust. Greenfield builds, migrations, or hardening of what you already have.

  • Multi-region cloud architecture
  • Kubernetes (EKS / GKE / AKS) setup
  • Terraform-managed everything
  • CI/CD pipelines with rollback
  • VPC, networking, security groups
  • GitOps with ArgoCD or Flux
Typical timeline
4–8 weeks
Starting from
$18k fixed-scope
Best for
SaaS, Seed–Series B
Explore Cloud Infrastructure
Cloud infrastructure
multi-region · production
99.97%
uptime achieved
across last 12 mo.
02 · Cloud Cost Optimization

15–40% off your bill, with nothing breaking.

FinOps for engineering teams. We audit your spend, surface the waste, and execute the changes — reserved instances, rightsizing, GPU optimization, architectural rework where it pays back fast. No performance compromise.

  • Full FinOps cloud audit
  • Reserved & Spot instance strategy
  • Rightsizing & idle resource cleanup
  • K8s resource tuning (VPA, requests/limits)
  • GPU workload optimization
  • Cost allocation & chargeback model
Typical timeline
2–6 weeks
Starting from
$8k audit + plan
Avg ROI
6–12x in year 1
Get a free cost review
Cloud cost analysis
finops · audit + execute
−38%
avg reduction in
monthly cloud bill
03 · Reliability Engineering

Production that behaves like production.

SRE practices applied to your stack: SLOs that map to user impact, observability you can trust at 3 AM, incident response that actually responds, and autoscaling that doesn't surprise the on-call.

  • SLOs, SLIs & error budgets
  • Observability stack (Prometheus, Grafana, Datadog)
  • Distributed tracing for core flows
  • Incident response playbooks & runbooks
  • Autoscaling tuned to real traffic
  • Post-incident review process
Typical timeline
6–10 weeks
Starting from
$22k fixed-scope
Outcome target
99.95% +
Explore Reliability Engineering
Reliability monitoring
sre · slo-driven
87 ms
p95 latency
achieved post-tuning
04 · AI Infrastructure

Production AI, without the production headaches.

LLM pipelines, RAG and Graph RAG architectures, GPU workload orchestration, vector database tuning, fine-tuning infrastructure. The patterns that don't yet have stable playbooks — we've shipped them.

  • RAG & Graph RAG architecture
  • Vector DB selection & tuning
  • GPU autoscaling (Karpenter, KEDA)
  • LLM inference serving (vLLM, Triton)
  • Fine-tuning pipelines
  • Inference cost & latency optimization
Typical timeline
6–12 weeks
Starting from
$28k fixed-scope
Best for
AI startups, post-prototype
Explore AI Infrastructure
AI infrastructure
llm · rag · gpu
−61%
p95 inference latency
across last 4 engagements

Still not sure? Pick the answer that fits.

Updates as you select
My team's biggest pain right now is…
The cloud bill is growing faster than revenue and nobody owns it
We have outages and the on-call rotation is burning the team out
We need to build production infra from scratch or migrate clouds
Our Kubernetes setup is fragile and consuming too much engineering time
We need to ship an AI product (RAG, LLM, GPU) to production
I'm not sure yet — I just need a senior set of eyes on what we have
Recommended for you
Pick an option to see your match

We'll surface the right starting point based on your situation. No two engagements look the same — this just gets you in the right ballpark before we talk.

Timeline
Starts from
How We Engage

Three ways to work with us.

Same senior engineers in every model. What changes is scope, commitment, and how billing works.

Free Infrastructure Review

For founders & CTOs

A 30-minute call. We look at your stack, surface the top 3 highest-leverage wins, and tell you honestly if we're the right team. No deliverable, no commitment, no sales pitch.

  • Senior engineer on the call
  • Mutual NDA available
  • Written recap if you want one
  • Honest "not a fit" call if true
Investment
Free. 30 minutes.
Book the call

Embedded SRE Retainer

Ongoing partnership

A senior engineer (or team) embedded into your engineering workflow. Slack-channel access, on-call rotation, planned roadmap work, monthly review. For teams not ready to hire full-time SRE yet.

  • Fractional to dedicated capacity
  • Slack, GitHub, on-call integration
  • Monthly written review
  • Cancel monthly, no lock-in
Investment
From $4.5k/month
Discuss a retainer
How It Runs

Six phases. No surprises.

The shape of every fixed-scope engagement. You'll know exactly what week we're in and what's coming next, from kickoff to handover.

1

Discover — what actually exists

1–2 weeks

NDA signed. Read-only access granted. We map your real architecture — not the diagram, the live system. CI/CD pipelines, environments, data flows, change history. Where it diverges from the docs is where the bodies are buried.

NDAArchitecture reviewAccess auditStack mapping
2

Assess — what matters most

~1 week

Risks ranked by business impact, likelihood, and detectability. Existential issues get flagged first. We tell you what not to change yet too — just as important as what to fix.

Risk matrixPrioritizationQuick wins
3

Validate — prove the assumptions

1–2 weeks

Load testing of real user paths. Backup & restore drills (most companies have never run one). Security checks against the threat model. We validate the highest-risk assumptions before they bite in production.

Load testsRestore drillsSecurity validation
4

Design — the 6–12 month roadmap

1–2 weeks

Written roadmap with target state for CI/CD, observability, IAM, secrets, data protection, cost controls. Sequenced to minimize production disruption. Yours to keep, whether or not you continue with us.

Target stateSequenced planWritten deliverable
5

Execute — ship the actual fixes

4–12 weeks

The highest-impact items get built and deployed without destabilizing production. Weekly demos. Pair sessions with your team so the knowledge transfers in real time — not in a doc at the end.

Production deploysPair sessionsWeekly demosKnowledge transfer
6

Hand over — the project survives without us

< 1 week

Final walkthroughs. Runbook validation. Ownership handoff. Documentation reviewed by your team, not just delivered. 30 days of post-handover support included — questions, edge cases, integration help.

RunbooksWalkthroughs30-day support
What You Actually Get

No "consultant slop." Real artifacts.

Every engagement ends with the same thing: a stack your team can run, a paper trail they can audit, and zero reliance on us afterwards.

01

Terraform / IaC source code

Modular, version-controlled infrastructure as code. Yours from day one, in your repo, under your branch protection rules.

02

Architecture diagrams & runbooks

Current-state and target-state architecture diagrams. Operational runbooks for the top 10 incident scenarios.

03

Observability stack & dashboards

Prometheus / Grafana / Datadog set up, SLO dashboards configured, alerts mapped to user impact — not noise.

04

CI/CD pipelines with rollback

Build artifacts immutable across environments. Documented rollback paths. Branch protection & required reviews.

05

Secrets & identity model

Managed vault, short-lived CI/CD credentials, RBAC mapped to teams, audit trail on every privileged action.

06

Backup & restore evidence

Automated backups for stateful systems. Documented restore procedures. Tested. Most teams have never run a real restore drill.

07

Cost allocation & guardrails

Costs allocated by team / service / tenant. Anomaly alerts on spend spikes. Reserved & spot strategy where it pays back.

08

Knowledge transfer sessions

Live pair-programming. Recorded walkthroughs. Q&A with the engineer who built it — not a sales handoff.

09

30-day post-handover support

Direct Slack-channel access for 30 days after we ship. Questions, edge cases, integration help. No upsell pressure.

Side-by-side

Compare the three ways to engage.

Same engineers in every model. What changes is commitment, billing, and shape of the work.

Free Review
Embedded Retainer
Senior engineer involvement
Defined deliverable
Roadmap-driven
Fixed price
N/A
Monthly
On-call / Slack access
Knowledge transfer to your team
Verbal
Ongoing
Cancel anytime
Starting investment
Free
$4.5k/mo
Featured Case

One engagement. Six weeks. 38% off the bill.

"We'd been told for two years that AWS was ‘just expensive at our scale.’ They cut the bill 38% in six weeks without a single user noticing."

Sarah Chen
Sarah Chen
VP Engineering · Series B SaaS
−38%
Monthly
AWS spend
6 wk
Kickoff to
delivered
0
Customer-impacting
incidents
AWS infrastructure
Cost Optimization · AWS
B2B SaaS · 1.4M monthly active users
Who We Work With

Teams we know how to ship for.

We're focused. We do not do "any industry." Where we go deep:

B2B SaaS
Seed → Series C
AI / ML Startups
Post-prototype
FinTech
High-reliability
Developer Tools
API / Platform
Marketplaces
Two-sided platforms
Health Tech
HIPAA-aware
Content / Media
High-traffic
E-commerce / DTC
Scale spikes
Before You Book

The questions CTOs ask us most.

Specific answers to the specific concerns that come up before a discovery call. Different from the general FAQ on the homepage — these are about how the services actually work.

Ask us directly
Can we hire you for just an audit, then keep the implementation in-house?
Yes — this is one of our most common engagements. The audit-only path (typically $8k, 2–3 weeks) gives you the written roadmap and prioritized fixes. You own everything and your team executes. About 30% of audit clients keep us on for execution; 70% take the report and run it themselves. Both are fine outcomes.
How does the "miss the timeline, don't pay for overrun" work in practice?
The contract specifies a deliverable, a fixed price, and a delivery date. If we ship late on our side (not waiting on you), the additional time is on us — we eat the cost. Scope changes you request are handled via a written change order with their own delta price. No hourly creep, no surprise invoices.
Will you work alongside our existing infrastructure team, or take it over?
Alongside, always. Most of our work is augmentation, not replacement. We pair with your engineers, transfer knowledge in real time, and explicitly build ourselves out of a job. If you don't have an existing infra team, we set up the patterns so your first hire can step into them. We never lock you in.
Do you sign mutual NDAs before discovery?
Yes, standard. Send us yours, or use our template — both fine. Mutual NDA covers everything from discovery onward. We treat customer architecture, business metrics, and team structure as strictly confidential by default; nothing leaves the engagement without explicit written permission.
What's your access model? Do you require admin / root credentials?
We work on least-privilege by default. Discovery uses read-only IAM. Execution gets scoped credentials per task with break-glass procedures. We never use long-lived admin keys, we never share credentials across engineers, and we never persist secrets outside your environment. Audit trail on every privileged action.
What if we're a regulated industry (HIPAA, SOC 2, PCI)?
We've shipped infrastructure in HIPAA-regulated and SOC 2 Type II audited environments. Compliance maps directly to our standard practices (least-privilege IAM, encryption everywhere, audit logging, restore drills). We work with your compliance lead, not around them, and your auditors get clean evidence on day one.
Can we start with one service and add more later?
Yes — that's the most common pattern. Most clients start with one focused engagement (typically Cost Optimization or a K8s rollout), see the working style, and then expand into the next service. Each engagement is independently scoped and priced, so you're never locked into a sequence.
Ready to talk

The next 30 minutes
changes the next 6 months.

Book a discovery call. Senior engineer on the call. We'll look at your stack, surface the highest-leverage wins, and tell you honestly if we're the right team for what you need.

30-min consult No obligation Written recap included