We run the hard infrastructure,
and grow the engineers who run it.
Fixed-price cloud and DevOps audits, hands-on AI and platform delivery, and an academy that produces verified engineers. Companies pay for the work, so the people we train don't.
$500+/mo found in every cloud audit or it's free·24–48h turnaround·billed in USD, EUR or NGN
$ stratiflux audit run --cloud aws --scope prod
✓ scanned 1,284 resources across 3 regions
✓ 41 findings, 12 high-impact
# top savings
estimated savings: $1,144/mo · grade B+ → A
report delivered in 31h
Four things, done properly
We take on the work most teams put off: the cloud bill, the flaky pipeline, the GPU cluster, the audit before the customer asks for one.
Cloud & platform engineering
AWS, GCP, Azure and bare-metal Kubernetes, provisioned as code and run with GitOps. No console clicks, no snowflake servers.
- Terraform-first provisioning
- Kubernetes with SLOs
- Multi-cloud & private cloud
AI infrastructure & inference
LLM serving, RAG pipelines and GPU clusters tuned for real latency and real cost, the stack frontier labs actually run.
- vLLM / TensorRT-LLM serving
- GPU cluster operations
- Cost-aware autoscaling
DevOps & reliability
CI/CD, observability and incident response that turn 2am pages into dashboards nobody has to babysit.
- Pipelines that gate on tests
- Metrics, logs, traces, SLOs
- On-call you can sleep through
Security & compliance
Zero-trust networking, least-privilege IAM and SOC 2 / ISO 27001 groundwork, built in from the first commit.
- Least-privilege IAM
- Image provenance & hardening
- SOC 2 / ISO 27001 prep
Commitments you can check
Cloud Cost Audit
We find at least $500/month in savings or you pay nothing. Fixed price, fixed scope, a prioritized plan in your inbox in 24–48 hours.
See for yourselfDevOps Health Check
A graded report across CI/CD, infrastructure-as-code, containers, security and observability, highest-impact fixes first, no vague "consider improving".
See for yourselfVerified talent
Every academy graduate is proven mission by mission with real repos and trainer review. Companies hire engineers with receipts, not just a CV.
See for yourselfWe grow our own verified talent
An AI-native engineering firm that grows its own verified talent: companies pay for delivery, training, and hires, so the people we train pay nothing but the work.
AI-Native Platform & Cloud Engineering
Become fluent across the major clouds, AWS, GCP, Azure, and OpenStack, and build, ship, and operate production infrastructure with an AI agent in the loop.
View syllabusAI-Native Data Engineering
Model, move, and serve data with an AI agent in the loop, and build the data substrate AI systems run on.
View syllabusAI Infrastructure & GPU Performance
The advanced track. Go deep on the hardware, the parallelism, and the latency, the skills that get you hired at frontier labs and GPU clouds (the Nebius, NVIDIA, Anthropic, OpenAI tier).
View syllabusAI Cluster & Inference Platform
The platform-at-scale track. Provision, network, secure, and operate fleets of GPU clusters across clouds and data centers, and serve models on them across providers. Built straight from how frontier labs run compute (think Anthropic Cluster Infra + Cloud Inference).
View syllabusNew writing, every week
Original deep dives on how things really work, from networking to frontier AI, written by the team that builds this stuff.
Start with the audit. Decide from there.
A fixed-price audit is the lowest-risk way to see how we work, you get a prioritized plan in 24–48 hours, whether or not we ever touch your infrastructure.
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