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IBM · IBM AI Optimizer for z/OS → Red Hat OpenShift AI · Migration

Trusted IBM AI Optimizer to OpenShift AI Migration

Yes, migrating IBM AI Optimizer for z/OS to Red Hat OpenShift AI is a well-understood project. We execute it with fixed scope, senior engineers, and on-premise flexibility – keeping your predictive workloads hybrid

Get My Free Assessment25-minute call with a senior migration engineer. No commitment.

Get My Free Assessment

25-minute call with a senior migration engineer. No commitment.

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Powered by the 3PS Migration Engine

The lowest-cost way off IBM AI Optimizer for z/OS: our migration tooling automates the repetitive work —you pay senior engineers for judgment, not keystrokes.

Automated discovery
Your IBM AI Optimizer for z/OS estate mapped — workloads, dependencies, licensing — before day one
Conversion tooling
Schema, config and workload translation to Red Hat OpenShift AI, automated where it's safe
Parity validation
Side-by-side testing proves Red Hat OpenShift AI matches production before cutover
Runbook cutover
Rehearsed, reversible, scheduled in your maintenance window
40-70%
Savings on legacy platform support
6-10 months
Typical project duration
$140,000–$1,000,000
Budget range

How we support IBM AI Optimizer for z/OS → Red Hat OpenShift AI after migration

  • Senior platform engineers, fixed scope – no surprises.
  • Keep your AI workloads on-prem for regulatory compliance.
  • Escape mainframe MIPS limits without cloud lock-in.
  • Consolidate on Red Hat OpenShift, streamline operations.
  • Post-migration: managed OpenShift & Kubernetes support.

Mainframe costs are exploding

Surging mainframe MIPS costs and developer overhead make it unsustainable.

Regulatory limits block cloud migration

Strict security mandates prevent public cloud storage – OpenShift AI on-prem solves that.

Legacy dependencies trap you on z/OS

Hardcoded scheduling, COBOL parsing, and network latency to mainframe databases stall the move.

IBM AI Optimizer for z/OS → Red Hat OpenShift AI migration — your questions answered

How do you migrate IBM AI Optimizer for z/OS to Red Hat OpenShift AI?+

Yes. We start with a fixed-scope assessment, then execute the migration in phases. Typical timeline: 6–10 months with 3–5 senior engineers.

What happens to mainframe support during the migration?+

Vendor support continues while your contract is active. If it lapses, our third-party support covers most operational issues – not vendor patches – so you can move at your own pace.

How do you handle z/OS scheduling dependencies and Data parsing?+

We re-architect your scheduling to run on OpenShift, replicate COBOL Data parsing in containers, and optimize network latency to mainframe databases. No hardcoded z/OS dependencies.

What is the typical budget for this migration?+

Budgets range $140,000–$1,000,000 depending on workload complexity. Included: assessment, migration, and post-migration managed OpenShift support for 12 months.

Free OpenShift AI Feasibility Audit for Mainframe Workloads

Your legacy mainframe stays stable under our care while your team builds the future on OpenShift AI. We handle the operational risk – you focus on the migration.

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