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Built for reliability engineers
Systems Online
    Deployment Options

    Deploy MAS 9 Your Way

    On-prem, public cloud, SaaS, dedicated, or hybrid — we help you choose and implement the right deployment model for your operations.

    On-Premises (Client-Managed)

    Run MAS 9 on Red Hat OpenShift in your own data center. Full control over infrastructure, networking, and data residency.

    Best for: Air-gapped OT networks, nuclear, strict data sovereignty

    • Requires internal OpenShift and Kubernetes expertise
    • You manage patching, upgrades, and scaling
    • Highest control over security and compliance
    • Capital expenditure model

    Public Cloud (Client-Managed)

    Deploy MAS 9 on AWS, Azure, IBM Cloud, or GCP with your team managing the OpenShift cluster and MAS platform.

    Best for: Organizations with cloud ops teams wanting full control

    • Leverage cloud elasticity and global regions
    • Your team manages OpenShift and MAS lifecycle
    • Flexible pay-as-you-go cost model
    • Choose your preferred cloud provider

    IBM MAS SaaS (IBM-Managed on AWS)

    Fully managed by IBM on AWS. IBM handles infrastructure, patching, upgrades, and availability so you focus on asset management.

    Best for: Fastest time-to-value, minimal IT overhead

    • IBM manages infrastructure and platform updates
    • Multi-tenant with logical isolation
    • Subscription-based OpEx model

    Dedicated Cloud (IBM-Managed)

    Single-tenant infrastructure on IBM Cloud, fully managed by IBM. Combines isolation of on-prem with managed service convenience.

    Best for: Regulated industries needing isolation + managed service

    • Single-tenant for stronger data isolation
    • IBM manages patching and SLA compliance
    • Premium tier with dedicated support

    Hybrid Cloud

    Split workloads across on-prem and cloud. Keep critical OT systems on-site while moving IT workloads to the cloud.

    Best for: Phased modernization, critical OT systems on-prem + IT in cloud

    • Incremental migration path from Maximo 7.x
    • Edge processing for remote or OT environments
    • Unified management through IBM Cloud Pak
    • Balance CapEx on-prem with OpEx cloud

    Where to Run IBM Maximo

    Platform guides for running MAS 9 on Red Hat OpenShift: architecture, trade-offs, and AI workloads.

    Maximo on IBM CloudRed Hat OpenShift on IBM Cloud and SatelliteRead the guideMaximo on AWSROSA or self-managed OpenShift on EC2Read the guideMaximo on AzureAzure Red Hat OpenShift or self-managed OCPRead the guideMaximo On-PremisesOpenShift on vSphere, disconnected installsRead the guideMaximo on Bare MetalOpenShift on physical servers and GPU nodesRead the guide

    Side-by-Side Comparison

    Compare deployment models across the dimensions that matter most.

    On-Premises
    Public Cloud
    IBM MAS SaaS
    Dedicated Cloud
    Hybrid Cloud
    Infrastructure ControlFullFullNoneLimitedSplit
    Maintenance ResponsibilityYouYouIBMIBMShared
    Best ForAir-gapped / OTCloud-savvy teamsFast startRegulated industriesPhased migration

    How We Help

    From assessment to go-live, we guide your deployment end to end.

    Deployment readiness assessment
    Infrastructure sizing and architecture design
    Red Hat OpenShift setup and configuration
    Migration from Maximo 7.x to MAS 9 on any deployment model
    Cloud landing zone design (AWS, Azure, IBM Cloud)
    Ongoing managed support options

    Industry-Specific Considerations

    Different sectors have different deployment requirements. Here is what we typically recommend.

    Energy & Nuclear

    On-premises with strict network isolation and NRC / NERC CIP compliance controls.

    Mining & Oil & Gas

    Hybrid cloud with edge computing for remote sites with limited connectivity.

    Facilities & Real Estate

    IBM MAS SaaS for fast deployment across multi-site portfolios with minimal IT overhead.

    Not Sure Which Deployment Model Fits?

    Book a free deployment readiness assessment. We'll evaluate your infrastructure, compliance requirements, and team capabilities to recommend the right path.