Documentation Index

Fetch the complete documentation index at: https://docs.aifabrix.ai/llms.txt

Use this file to discover all available pages before exploring further.

Platform sizing and environments

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How infrastructure scale and environment count grow as you move from evaluation to enterprise production — without re-architecting the platform.

Purpose

Architects and platform operators use this page to plan capacity and separation — sizing presets at tenant activation, additional environments for promotion, and scale-out patterns. This is product and operating guidance, not a SKU price list. Your Marketplace offer and Azure region determine exact resources.

Pair with Tenant activation wizard (size selection step) and Evaluation guide.

Sizing presets (tenant activation)

During activation you choose a sizing preset aligned with expected load (labels vary by offer; commonly small through extra-large).

Preset Typical use Characteristics
Small (S) Evaluation, single-team pilot, low concurrent workers Minimal compute; sufficient for certification ladder
Medium (M) Initial production for one domain Headroom for sync, search, and Role Assistant tasks
Large (L) Multi-team production Higher throughput for dataplane and orchestration
Extra-large (XL) Enterprise scale-out Multiple integrations, many workers, heavy sync

Guidance: Start at S for proof-of-concept only if performance stays acceptable under real sync and governance tests. Move to M before declaring production for a business domain.

Sizing is not a substitute for governance — full Operational Trust capabilities apply at every preset.

Environment progression

Environments isolate change risk. Integrations and policy promote across them — they do not share live credentials blindly.

Phase 1 — Evaluation
  Single environment (dev or dedicated pilot)
  Full governance + certification at pilot scope

Phase 2 — Initial production
  Dev + Prod (or Dev + Staging + Prod per your naming)
  Formal promotion for manifests, protection, Role Assistant config

Phase 3 — Enterprise scale-out
  Dev + Test + Prod (standard three-environment model)
  Shared metadata standards; multiple systemKeys and workers
Phase Environments Sizing Primary goal
Evaluation 1 S (sometimes M if perf testing required) Prove model with real identity and data
Initial production 2 S or M Controlled production for one team/domain
Enterprise platform 3+ M / L / XL Shared platform for many teams and use cases

Environment keys (dev, tst, pro) must match Builder CLI and controller configuration — integrators target the correct environment on every upload and certification run.

What scales with size

Component Scales with preset / env count
Controller (Miso) Policy, identity, deployment governance
Dataplane Sync volume, governed search, CIP execution, MCP traffic
Integrations Number of systemKeys and datasources — not duplicated per worker
Role Assistants Concurrent tasks and evidence volume
Azure backing services Compute, storage, networking — billed in your subscription

Adding environments increases operational surface (promotion, secrets, certification per env) — not necessarily linear Azure cost.

Scale-out without rework

  1. Same integration manifests — promote via upload/deploy to next environment after certification in prior env
  2. Same business roles and dimensions — standardize keys before onboarding team two
  3. Re-certify after change — vendor API, protection, or policy changes trigger certification again
  4. Resize when metrics demand — CPU, sync latency, worker queue depth — via platform team process (not ad-hoc VM edits in docs)

Avoid “PoC shortcuts” (admin-only tests, skipped protection) that cannot transfer to production sizing.

Governance maturity vs infrastructure

Infrastructure size does not replace governance maturity:

Maturity Infrastructure Governance behavior
Experimental S, one env Certification at pilot scope; limited subjects
Controlled adoption S/M, two envs Promotion rules; scoped production users
Enterprise platform M/L/XL, three envs Standard metadata; reuse integrations
Regulated optimized L/XL, hardened network ABAC, evidence reporting, cost/risk managed

See Adoption roadmap for activity sequencing; KPI framing belongs with operator and executive adopt pages.

Limits

  • Exact vCPU, memory, and Azure SKUs depend on Marketplace offer version and region — confirm in deployment outputs and your platform team runbook.
  • This page does not replace Azure Well-Architected or your landing-zone standards.
  • Edition or licensing names on invoices may differ from preset labels in the wizard UI.