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Globular — Infrastructure for Autonomous Operations

Open-Source · Self-Hosted · AI-Ready

Infrastructure for
Autonomous Operations

Most infrastructure was designed for humans with shell access and tribal knowledge. The next era needs something different — explicit state, typed operations, and infrastructure that AI agents can safely understand and act on. Globular is built for that shift.

80% of CEOs expect AI to force medium-to-high change in operational capabilities
— Gartner, April 2026
The shift From digital business to autonomous business — operations driven by AI agents, not human dashboards and tribal memory
The gap AI agents need structured, verifiable, typed operational truth. Most infrastructure was never designed to provide it.

AI cannot safely operate what it cannot read

Shell access is the most dangerous control surface you can give an AI agent. Logs are too unstructured to reason from. Dashboards don't expose typed operations. For AI to participate in operations safely, the platform must expose structured, verifiable, auditable operational truth at every layer.

The old model

  • Humans operate through dashboards and tribal knowledge
  • State is implicit — best guessed, never verified
  • AI is a chatbot that reads logs and suggests shell commands
  • Shell access is the control surface — dangerous, unaudited
  • Diagnosis depends on expert memory
  • Recovery is manual and inconsistent

The Globular model

  • Humans and AI agents operate through typed APIs
  • State is explicit across four independent truth layers
  • AI is a secured operator with scoped MCP tools and RBAC
  • gRPC + MCP is the control surface — discoverable, audited
  • Doctor findings are structured and machine-readable
  • Recovery flows through idempotent, verified workflows

Infrastructure that can explain itself

Globular separates cluster state into four independent layers, each with its own owner and data source. They are never collapsed. The gap between layers is exactly where problems live — and where AI agents and operators look first.

1

Repository

Does this version exist? Artifacts are published, checksummed, and versioned in MinIO-backed object storage.

2

Desired State

What should be running? The controller writes desired service versions to etcd — the single source of intent.

3

Installed / Observed

What is actually installed? Node agents report installed packages with checksums. Drift from desired state is visible immediately.

4

Runtime Health

Is it running and healthy? systemd reports unit state. The cluster doctor correlates all four layers and surfaces typed findings.

AI as a secured operator, not a shell user

Globular does not give AI a dangerous shell. It gives AI a secured, discoverable, typed, permissioned control surface. Every action is RBAC-controlled. Mutating operations require workflows. The cluster doctor verifies every result.

Claude / Codex / AI Agent
↓   129+ MCP tools   ↓
gRPC reflection
RBAC + mTLS
Workflow engine
↓   typed cluster operations   ↓
Cluster Doctor
Controller
Node Agents
↓   verified convergence   ↓
etcd — single source of truth
🔍

Inspect

AI agents read real cluster state, installed packages, doctor findings, workflow history, and drift reports through structured APIs — no log scraping.

🎯

Propose & Act

Tier-1 actions run automatically. Tier-2 actions require human approval. Mutating operations flow through idempotent workflows, never raw commands.

Verify

Doctor findings and convergence checks confirm the cluster reached the desired state. Every AI action is recorded in the workflow audit trail.

Not a Kubernetes replacement.
A different battlefield.

Kubernetes orchestrates containers. Globular is the substrate layer that was never named: cluster identity, PKI, service versioning, workflow execution, health convergence, and AI-readable operational truth. Globular can complement Kubernetes — or serve workloads that do not need container orchestration at all.

Traditional platformsGlobular
State modelImplicit, eventually consistentExplicit four-layer truth model
AI control surfaceShell access, log scrapinggRPC + MCP, RBAC-controlled
OperationsShell scripts, tribal knowledgeTyped workflows, idempotent, audited
DiagnosisHuman log reviewCluster Doctor with structured findings
Identity & PKIExternal tooling requiredBuilt-in mTLS, CA, JWT, RBAC
Service discoveryDNS or sidecar proxyetcd-backed, no sidecars
RuntimeContainers requiredNative Linux binaries under systemd
AI audit trailNoneEvery action recorded in workflow history

Built in public. Operated by AI. Open source.

Globular runs in production on a 3-node bare-metal cluster, operated daily with Claude through MCP. Every design decision, failure, and recovery is documented and open.