Multi-cloud inventory
Bring AWS, Azure, GCP, Kubernetes, and on-prem assets into a tenant-scoped inventory with ownership, region, tags, and operational state.
• Six surfaces: inventory, topology, drift & cost, policy-gated provisioning, deployment waves, guarded AI.
• All surfaces share one tenant-scoped graph and audit trail.
• Policy and approvals guard every change; AI never authorizes.
• Demo surfaces labeled; real adapters live when ready.
Every capability keeps infrastructure data, workflow controls, and operational guardrails in one accountable operating model. Each surface is available today; demo surfaces are labeled and need no credentials.
Devopsify is a tenant-scoped infrastructure control plane that unifies multi-cloud inventory, topology, governed provisioning, delivery operations, audit, and AI-assisted investigation under one declarative graph. Each capability (from inventory to guarded AI) operates against the same graph, so fixing one problem strengthens the others. The control plane connects AWS, Azure, GCP, Kubernetes, and on-prem agents, enforcing policy, approvals, and audit before execution.
| Capability | Devopsify | Without |
|---|---|---|
| Inventory | ✓ Unified graph | ✗ Siloed |
| Policy gates | ✓ Before apply | ✗ After |
| Audit | ✓ Per-change | ✗ Manual |
Multi-cloud inventory, topology/digital twin, drift & cost, policy-gated provisioning, deployment waves, and guarded AI operations, all on one graph.
No. They are six surfaces on the same control plane and audit trail.
Yes. Start with one capability (e.g., inventory) on demo data; others come along because they share the same graph.
A short list, kept deliberately small. Every surface feeds the same tenant-scoped data model and the same audit trail.
Bring AWS, Azure, GCP, Kubernetes, and on-prem assets into a tenant-scoped inventory with ownership, region, tags, and operational state.
Model infrastructure relationships so operators share one view of services, dependencies, and the environments around a change.
Investigate observed drift, utilization, and cost movement beside the resources and decisions that may explain it.
Create plans, attach approval requirements, evaluate policy before execution, and retain the decision trail on every apply.
Group infrastructure changes into reviewed waves so teams can track scope, health, and progress across a rollout together.
Use AI-assisted investigation and recommendations with scoped actions, approval guardrails, and auditable outcomes.
Start in seconds with zero cloud credentials, then connect real AWS, Azure, or GCP accounts for live SDK discovery.
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