Community edition now available

Deterministic Automation for Hybrid Infrastructure

Execute DR drills and controlled burst across on-prem and cloud. Every run produces redacted, deterministic evidence.

Declare what should happen. Attach policy separately. Swap tooling without rewriting.

Cloud resources are provisioned on demand. Cost and environment guardrails are built into every run.

HybridOps execution model Module contracts coordinate execution via driver, profile, and pack primitives. Modules declarative intent Driver execution engine Profile policy defaults Pack tool plan bundle
Module contracts stay stable. Profiles carry policy. Packs stay replaceable.
< 5 min
From install to first evidence run
60–80%
Cost savings vs always-on cloud
100%
Deterministic evidence on every run
68
Modules across 5 providers

Capabilities

A compact operator surface that stays consistent as your tooling evolves.

DR drills
Reproducible failover with structured outputs, redacted logs, and a clear verification chain.
Controlled burst
Provision burst capacity only when signals and policy allow. Keep cloud spend event-driven.
Policy profiles
Centralize backends, workspaces, retries, and toolchain policy without leaking it into module intent.
Replaceable packs
Swap Terraform (via Terragrunt), Ansible, or Packer plans without breaking the module contract.
Validation
Deterministic input merge with module-owned validators before execution runs.
Evidence-first
Every run persists deterministic results and envelopes that can back an audit trail or incident review.
Reference output

Drivers run in isolated workdirs and write evidence under the runtime root. Redaction is default.

run_evidence:
  path: <root>/logs/module/<module_id>/<run_id>/
  files:
    - driver_meta.json
    - driver_result.json
    - inputs_runtime.json
    - workspace_policy.json
    - backend_binding.json
    - terragrunt.log
    - stdout.redacted
    - stderr.redacted
  guarantees:
    redaction: true
    deterministic_payload: true
    file_mode: 0o600
    correlation_id: <run_id>

Docs and runbooks describe the wiring. The operator surface stays stable even when the toolchain behind it changes.

Execution model

A strict boundary between intent, policy, and implementation.

ModuleSpec stays clean

Intent only. No backend logic, tool flags, or secret material.

api_version: hybridops/v1
kind: ModuleSpec
module_ref: platform/onprem/postgresql-ha

inputs:
  defaults:
    apply_mode: auto
    patroni_cluster_name: postgres-ha
    postgresql_version: 16
    dcs_type: etcd
    inventory_requires_ipam: true
requirements:
  credentials: []
execution:
  driver: config/ansible
  profile: onprem-linux@v1.0
  pack_ref:
    id: onprem/common/platform/35-postgresql-ha@v1.0
outputs:
  publish:
    - pg_host
    - cluster_vip
    - endpoint_dns_name
    - apps
    - cap.db.postgresql_ha

Profiles carry policy. Packs carry implementation. ModuleSpec remains tool-agnostic.

Drivers produce evidence
01
ModuleSpec
Intent contract: inputs, constraints, probes
02
Driver
Execution engine and isolation boundary
03
Profile
Policy and defaults (governance)
04
Pack
Replaceable tool plan bundle
05
Evidence
Deterministic outputs and provenance
Inputs
Merged with deterministic precedence, then validated.
Workdir
Packs are copied into an isolated workdir under the runtime root.
Evidence
Stable paths with redaction by default and deterministic result payloads.

hyops apply is the stable entry point. Docs describe the wiring.

Pick the edition that fits your risk profile

Start with self-serve evaluation. Add governance, onboarding, and support as your risk profile grows.

Self-serve
Community

For: Teams validating the workflow in a lab or low-risk environment

  • Reference modules, docs, and demos
  • Evidence-first execution with redacted output
  • Lab profiles and practical runbooks
  • On-demand cloud — no always-on workload spend
Guided rollout Most common fit
SME

For: Lean IT teams and schools moving from evaluation to adoption

  • Everything in Community
  • Paid Copilot and full documentation access
  • Academy training for guided implementation tracks
  • Onboarding, DR drill review, and rollout guidance
  • Cost-guarded burst patterns with practical support
Program engagement
Enterprise

For: Regulated, multi-team, or multi-environment organizations

  • Everything in SME
  • Governance profiles and hardened rollout standards
  • Audit-ready evidence and operating model alignment
  • Structured training, enablement, and stakeholder support
  • Commercial planning for broader adoption
Start here

Run your first DR drill in minutes.

Start with the self-serve quickstart to evaluate the workflow directly. For a guided walkthrough or delivery model mapping, use the demo option at the top of the page.

  • Install the Community edition — no always-on cloud required
  • Pick a reference module and run hyops apply
  • Inspect the evidence output: redacted logs, result envelope, provenance
  • Read the runbook to go further