What We Deliver

Our Services

Every engagement is led by engineers who have done this at scale. No junior handoffs. No cookie-cutter playbooks.

Kubernetes Architecture

Production-grade clusters from day one.

We design and build Kubernetes platforms that teams love — multi-cluster, multi-tenant, and built to scale. Whether you are starting fresh or re-architecting a legacy setup, we bring patterns proven across hundreds of clusters.

Project-based or ongoing retainer

What's included

Cluster topology design (single/multi-cluster, federation)
Multi-tenancy with namespace isolation, RBAC, and network policies
Custom operator and controller development
Platform engineering with Internal Developer Portals (Backstage)
Service mesh implementation (Istio, Cilium)
CNI, CSI, and storage architecture
Upgrade & maintenance automation

CI/CD Pipelines

Deploy 10x faster. Roll back in seconds.

We implement GitOps-native delivery pipelines that give you full auditability, fast deployments, and safe rollbacks. From repo to production, every step is automated, tested, and observable.

Project-based

What's included

GitOps with ArgoCD or Flux — multi-environment promotion flows
GitHub Actions / Tekton pipeline design and optimization
Progressive delivery: canary, blue-green, feature flags
Container image build pipelines (Buildkit, Kaniko, ko)
Artifact management and promotion gates
Pipeline security (SLSA, SBOM, Sigstore/Cosign signing)
Developer experience tooling (skaffold, tilt, devcontainers)

AI for Business

AI that ships. AI that pays off.

Most AI projects stall in POC hell — impressive demos that never reach production. We help businesses move from idea to production-grade AI fast, with measurable ROI. Whether you need a customer-facing AI feature, an internal knowledge assistant, or end-to-end process automation, we design, build, and ship it.

Workshop, prototype sprint, or full delivery
Explore AI for Business

What's included

AI readiness & opportunity assessment
Customer support automation (LLM + RAG on your knowledge base)
Intelligent document processing & extraction
Internal knowledge assistants (Confluence, Notion, Slack, docs)
AI-augmented analytics & natural language BI
Business process automation with AI agents
AI-native product feature design & delivery

AI Consulting

Stop experimenting. Start shipping AI that works.

Most AI projects fail not because of the model — but because of the infrastructure, the integration, and the lack of a production mindset. We help engineering and product teams cut through the hype, choose the right stack, and deploy AI features that are reliable, observable, and cost-effective.

Workshop, advisory retainer, or embedded consultant

What's included

AI readiness assessment — data, infra, team, and tooling
LLM selection & benchmarking (GPT-4, Claude, Mistral, Llama, Gemini)
RAG architecture design (vector stores, chunking, retrieval strategies)
Fine-tuning strategy and dataset curation guidance
AI gateway & prompt management (LangFuse, Portkey, PromptLayer)
Cost modelling — build vs buy, open-source vs hosted API
AI feature integration patterns (streaming, tool use, agents)
Responsible AI & guardrails (content filtering, hallucination mitigation)

AI/ML Infrastructure

Train faster. Serve at scale. Stay in control.

Running AI workloads on Kubernetes is hard. GPU scheduling, model serving latency, and distributed training all require deep expertise. We have built production ML platforms for teams deploying LLMs, diffusion models, and recommendation systems.

Project-based or fractional CTO

What's included

GPU cluster setup (NVIDIA device plugin, MIG partitioning, time-slicing)
Training infrastructure: Ray, PyTorch DDP, Kubeflow Pipelines
Model serving: Triton, vLLM, TorchServe, KServe
LLM deployment and autoscaling (KEDA + HPA)
MLflow / W&B experiment tracking integration
Data pipeline orchestration (Argo Workflows, Prefect)
Cost-optimized spot instance training clusters

Security & Compliance

Pass audits. Stop breaches. Ship faster.

Security should not slow teams down. We build DevSecOps pipelines that catch vulnerabilities early, enforce policies automatically, and generate the evidence auditors require — without adding friction to developers.

Project-based or compliance retainer

What's included

RBAC design and least-privilege enforcement
OPA / Kyverno policy-as-code (admission webhooks)
Secret management with HashiCorp Vault / Sealed Secrets / ESO
Container image scanning (Trivy, Snyk, Grype) in CI
Runtime security (Falco, Tetragon)
SOC2 / HIPAA / PCI-DSS evidence collection automation
CIS Kubernetes Benchmark remediation

Cloud Cost Optimization

Your AWS bill is a choice. Choose less.

Most Kubernetes clusters are over-provisioned by 40–70%. We use FinOps methodologies, intelligent autoscaling, and architectural changes — including strategic migrations to Hetzner Cloud — to dramatically reduce spend, often paying for the engagement within the first month.

Fixed-fee audit + implementation

What's included

Karpenter / Cluster Autoscaler configuration and tuning
Spot instance fleet management with graceful draining
Container right-sizing with VPA and Goldilocks
Resource request/limit optimization
Multi-cloud cost visibility (OpenCost, Kubecost)
Reserved instance and savings plan strategy
Idle resource detection and cleanup automation

Hetzner Cloud Migration

Same Kubernetes. 80% less bill.

AWS, GCP, and Azure are premium products — you are paying for brand recognition on top of compute. Hetzner Cloud offers bare-metal-class performance at a fraction of the cost. We migrate your entire Kubernetes platform: workloads, networking, storage, CI/CD, and observability — with zero downtime and no shortcuts.

Fixed-scope migration project

What's included

Full infrastructure audit and Hetzner sizing analysis
hcloud-based Kubernetes cluster provisioning (Terraform + Hetzner CCM)
Persistent volume migration (Longhorn, Hetzner CSI)
Load balancer and ingress migration (Hetzner LB, Traefik, Nginx)
DNS cutover strategy with zero-downtime rollover
Private network & firewall architecture on Hetzner
Post-migration cost reporting and optimisation

Incident Response & SRE

Sleep better. React faster. Prevent more.

We embed SRE practices into your engineering culture — defining SLOs, building observability stacks, and automating runbooks so that when things go wrong (they always do), you are ready.

Retainer or incident response consulting

What's included

SLO/SLA definition and error budget policy
Prometheus + Grafana + AlertManager observability stack
OpenTelemetry instrumentation and distributed tracing (Tempo, Jaeger)
Log aggregation (Loki, Elasticsearch, CloudWatch)
Incident management integration (PagerDuty, OpsGenie)
Runbook automation with Ansible / Crossplane
Chaos engineering (Litmus Chaos, fault injection)

Flexible engagement models

We work the way your team works.

Fixed-Scope Project

Defined deliverables, timeline, and price. Great for greenfield builds, migrations, and audits.

Monthly Retainer

Embedded engineering hours per month. Ongoing architecture, reviews, on-call backup.

Fractional CTO

Senior leadership without the full-time cost. Strategy, hiring, vendor management.

Discuss Your Project