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Deployment Options

From fully managed SaaS to air-gapped on-premises installations. Deploy IFO4 wherever your security and compliance requirements demand.

Most Popular

SaaS Multi-Tenant

Fully managed by IFO4 with logical data isolation between tenants. Automatic updates, scaling, and maintenance. Fastest time-to-value with zero infrastructure management.

Best for: Organizations that want maximum speed to value with enterprise-grade security and data isolation.

Advantages
  • Zero infrastructure management
  • Automatic updates and patches
  • Elastic scaling
  • Fastest deployment (< 1 day)
  • 99.99% uptime SLA
Considerations
  • Shared infrastructure
  • Standard data residency (US/EU)
Enterprise

Dedicated Tenant

Your own isolated IFO4 instance with dedicated compute, storage, and network resources. Custom data residency, enhanced security controls, and dedicated encryption keys.

Best for: Financial services, healthcare, and organizations with strict data isolation requirements.

Advantages
  • Dedicated infrastructure
  • Custom data residency
  • Customer-managed encryption keys
  • Enhanced network isolation
  • Custom maintenance windows
Considerations
  • Higher cost than multi-tenant
  • 1-2 week deployment
Advanced

Hybrid Deployment

IFO4 control plane runs in our cloud while the data plane operates within your VPC. Sensitive billing data and cloud credentials never leave your environment.

Best for: Organizations that want SaaS convenience with data sovereignty guarantees.

Advantages
  • Data stays in your VPC
  • Cloud credentials never shared
  • IFO4-managed control plane
  • Automatic updates for UI/API
  • Customer-controlled data plane
Considerations
  • Requires VPC configuration
  • Some features require cloud connectivity
Government / Regulated

On-Premises

Complete IFO4 platform deployed inside your data center. Full sovereignty over all data, compute, and network. Supports air-gapped environments with no external connectivity.

Best for: Government agencies, defense organizations, and environments with classified data requirements.

Advantages
  • Complete data sovereignty
  • Air-gap compatible
  • No external connectivity required
  • Custom security hardening
  • Full compliance control
Considerations
  • Customer-managed infrastructure
  • Manual update process
  • Longer deployment timeline
Comparison

Deployment model comparison

FeatureSaaSDedicatedHybridOn-Prem
Time to Deploy< 1 day1-2 weeks2-3 weeks4-8 weeks
Infrastructure ManagementIFO4IFO4SharedCustomer
Data ResidencyUS / EUCustomCustomer VPCCustomer DC
Encryption KeysIFO4-managedCustomer-managedCustomer-managedCustomer-managed
Network IsolationLogicalPhysicalVPC + Control PlaneFull
UpdatesAutomaticScheduledAuto + ManualManual
Uptime SLA99.99%99.99%99.95%Customer-defined
Air-Gap SupportNoNoNoYes
Requirements

Infrastructure requirements by deployment

RequirementSaaSHybridOn-Premises
ComputeNone (managed)8 vCPU, 32GB RAM (data plane)32 vCPU, 128GB RAM
StorageNone (managed)500GB SSD (data plane)2TB SSD + object storage
DatabaseNone (managed)None (cloud hosted)PostgreSQL 15+, Redis 7+
NetworkInternet accessVPC peering or VPNInternal network only
KubernetesNoneK8s 1.25+ (data plane)K8s 1.25+ (full platform)
TLS CertificatesManagedCustomer-providedCustomer-provided
DNSManagedCustomer DNS for data planeCustomer DNS
Load BalancerManagedCustomer LB for data planeCustomer LB
Data Flow

How your data flows through IFO4

1

Data Ingestion

Cloud billing APIs (CUR, Cost Management API, BigQuery Export) are polled on a configurable schedule. Data is encrypted in transit with TLS 1.3 and validated against source checksums.

2

Normalization

Raw billing data is normalized across providers into a unified cost model. Discounts, credits, and taxes are applied consistently. Currency conversion happens at ingestion time using configurable exchange rates.

3

Enrichment

Normalized data is enriched with resource metadata, organizational hierarchy, tagging taxonomy, and custom cost allocation rules. Missing tags are inferred using ML-based tag prediction.

4

Analysis

Enriched data flows through the optimization engine for rightsizing analysis, reservation recommendations, anomaly detection, and forecasting. Results are stored in the time-series database.

5

Presentation

Analyzed data is served to dashboards, reports, APIs, and integrations. Data is cached at multiple levels for sub-second query performance across the UI and API.

6

Action

Optimization recommendations can be applied directly via cloud provider APIs, forwarded to ITSM systems, or exported to CI/CD pipelines for automated implementation.

Need help choosing?

Our solutions architects will evaluate your requirements and recommend the optimal deployment model.

Talk to Architecture Team