// Technology stack

Two layers.
One platform.

The AI layer sits on top of your platform layer — not bolted on after the fact. Every tool below is open-source or CNCF-aligned. No proprietary lock-in at any level.

AI Infrastructure Layer NEW
KServe / Triton
LiteLLM (Model Gateway)
LangChain / LlamaIndex
Weaviate / Qdrant / pgvector
MLflow / DVC
Ray (distributed AI)
Langfuse / Phoenix (observability)
MCP Server Framework
NVIDIA Device Plugin
Karpenter (GPU scheduling)
OpenCost (AI FinOps)
Ollama (self-hosted LLMs)
vLLM
Platform Engineering Layer (CNCF)
Kubernetes
Backstage
ArgoCD / Flux
Crossplane
Terraform / OpenTofu
Helm
Vault (HashiCorp)
OPA / Kyverno
Cilium / Calico
Prometheus + Grafana
OpenTelemetry
Tekton / GitHub Actions
cert-manager
Karpenter
Cloud & Infrastructure
AWS (EKS, Bedrock, SageMaker)
GCP (GKE, Vertex AI)
Azure (AKS, Azure OpenAI)
On-prem / Bare metal
Hybrid cloud
// Philosophy

Every tool we recommend is open-source or CNCF-aligned. We have zero vendor partnerships that influence our recommendations. Cloud providers are noted where their managed AI services (Bedrock, Vertex, Azure OpenAI) are a practical fit — but we always ensure you can run self-hosted alternatives like Ollama or vLLM for data-sovereign or regulated environments. Your architecture belongs to you.

// Questions about the stack?

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