Prepared for Johnson Controls

Your path from Azure Native to ARO, mapped out.

A recap of what we heard about Johnson Controls' move to Azure Red Hat OpenShift, and how RiverMeadow takes you from a 1-week proof of concept through a realistic, wave-by-wave path to a fully modernized environment — with near-zero disruption to the systems your business runs on.

4,000
Virtual machines to migrate
Azure Native → ARO
Source to target platform
Win + Linux + DB
Mixed workload estate

What We Heard

Here's our understanding of what you're trying to accomplish.

Before we talk about how, we wanted to reflect back what we heard, so we're solving for the right problem together.

4,000 VMs, end-to-end

A full environment move off Azure Native, not a partial lift. At this scale, sequencing and wave discipline matter as much as the migration technology itself.

A platform switch, not a lift-and-shift

Moving to Azure Red Hat OpenShift is a genuine platform change — VM import into OpenShift Virtualization, new storage and networking constructs — not a like-for-like relocation.

Real urgency, and an honest pace

There's genuine pressure to move fast. We also heard an appetite for an honest, testable pace instead of a single unchecked promise — which is exactly what the Path to Completion section below is built to give you.

Zero tolerance for disruption

The systems in scope support real operations. Migration downtime isn't a line item you're willing to absorb — it's risk to the business.

A mixed, real-world estate

Windows Server, Linux Server, and database workloads side by side. The platform doing the work has to handle all three natively, not treat any of them as an afterthought.

A cleaner environment on the other side

This is also a chance to shed technical debt, close security gaps on aging operating systems, and land in ARO right-sized — not just relocated.

Why RiverMeadow

One platform, purpose-built to move you into ARO without the drama.

RiverMeadow is a single, unified platform for migration, optimization, and modernization, used across hybrid and multi-cloud environments including AWS, Azure, Google Cloud, Red Hat OpenShift, and HPE Morpheus. We built it to remove the complexity, cost, and risk that usually come with a move like yours.

Near-zero
downtime migrations

Cutover, not a rebuild

Continuous replication into ARO means the final cutover is a short, controlled event, not a weekend of holding your breath.

60%
faster migration

Automation over manual effort

Automated OS and app replication removes the manual re-platforming work that slows most Azure-to-OpenShift moves down.

500,000+
workloads migrated

Proven at real scale

This isn't a new tool learning your environment. It's a mature platform with over 100,000 hours of manual migration effort saved for customers like you.

CIS
security hardening

A more secure landing zone

OS hardening to CIS benchmarks as part of the move, so you land in ARO more secure than you left.

Win + Linux + DB
native support

Built for mixed estates

Windows Server, Linux, and database workloads are all first-class citizens on the platform — including Linux OS conversion where it helps you standardize post-migration.

ESU
costs eliminated

Close out technical debt

Automated OS and SQL Server upgrades retire extended security update costs and end-of-life exposure instead of carrying them into ARO.

Proof it works at real scale: Mitel, a global business communications leader, used RiverMeadow to migrate 1,000 workloads in under 90 days — 60% faster than a conventional approach. Your 4,000 VMs across a mixed Windows, Linux, and database estate is exactly the kind of environment this platform was built to move.

What The POC Looks Like

Before we touch 4,000 VMs, we prove the pattern in one week.

A focused, 5-step pilot on real workloads from your environment — so the full migration starts from evidence, not assumptions.

Day 1 · Mon
1

ARO Environment Prep & Appliance Deployment

Prepare the ARO project and network path, and deploy RiverMeadow's lightweight migration appliances into the environment.

Open outbound ports to the RiverMeadow SaaS platform
Day 2 · Tue
2

Deploy & Configure the Platform

Connect RiverMeadow to both the Azure Native source and the ARO target, and validate appliance connectivity end-to-end.

Day 3 · Wed
3

Identify 2–3 Use Cases

Select representative workloads — a Windows Server, a Linux Server, and a DB Server — to prove the pattern across your actual mixed estate.

Day 4 · Thu
4

Migrate, Test & Validate

Run the test migrations into ARO, then validate boot, functionality, and performance against the source systems.

Day 5 · Fri
5

POC Readout & Go/No-Go

Review results together, capture lessons learned, and align on wave sizing and cadence for the full migration.

Duration
1 week, 5 steps
Workloads Proven
2–3 use cases (Win / Linux / DB)
Target Platform
Azure Red Hat OpenShift (ARO)
Outcome
A validated plan for all 4,000 VMs

The Migration Journey

Here's how we take you from discovery to a live cutover in ARO.

Six phases, one continuous plan, built on what the POC proves. Scroll through it the way your migration will actually unfold.

1

Discovery & Assessment

Weeks 1–4

We start with a full, automated inventory of all 4,000 VMs: OS versions, dependencies, performance baselines, and the Windows/Linux/DB split, so nothing surprises us mid-migration.

RiverMeadow does
  • Automated discovery across the estate
  • Dependency & application mapping
  • Right-sizing analysis for ARO
You get
  • A complete, validated picture of all 4,000 VMs
  • Early flags on any risky or legacy systems
2

Wave Planning & Design

Weeks 4–6

We group your VMs into migration waves by dependency, risk, and business priority, then build a sequence against your chosen pace — without rushing the workloads that matter most.

RiverMeadow does
  • Wave grouping and sequencing
  • Rollback & contingency planning
  • ARO landing zone alignment
You get
  • A wave-by-wave plan mapped to your pace
  • Clear sign-off points before anything moves
3

Automated Replication

Rolling, by wave

RiverMeadow replicates each wave into ARO in the background while source systems keep running. No forklift, no downtime — just continuous sync toward a ready-to-cut copy.

RiverMeadow does
  • Continuous, automated replication
  • Windows, Linux & DB handled natively
  • Progress tracked per VM, per wave
You get
  • Zero impact to production during the sync
  • Full visibility into wave-by-wave progress
4

Modernize & Harden

(Optional)Rolling, by wave

Not every workload needs the same treatment. As each wave lands, RiverMeadow can apply OS upgrades, CIS security hardening, and SQL Server modernization wherever it makes sense — you decide which systems get modernized and which are simply relocated as-is.

RiverMeadow can
  • Apply automated OS & SQL Server upgrades
  • Apply CIS benchmark hardening
  • Right-size for ARO economics
You choose
  • Which systems get modernized vs. relocated as-is
  • A more secure, less costly footprint wherever you opt in
5

Test & Validate

Before each cutover

Your team runs the testing and gives final acceptance on every wave. RiverMeadow provides oversight throughout, comparing each system against its source, flagging issues early, and guiding you to a confident go/no-go.

RiverMeadow provides
  • Test oversight & technical support
  • Side-by-side comparison to source
  • Go/no-go guidance
Your team
  • Runs functional & performance testing
  • Gives final sign-off before cutover
6

Cutover

Wave by wave

A short, controlled cutover per wave, with a rollback path standing by. RiverMeadow is there live through the entire cutover event for every wave, start to finish, so ARO is performing the way it should the moment you go live.

RiverMeadow does
  • Near-zero downtime cutover
  • Rollback safety net per wave
  • Live support through the entire cutover event
You get
  • Every wave live in ARO on a predictable schedule
  • RiverMeadow present through go-live, not a handoff and goodbye

Path to Completion

What's possible, based on how fast you can safely cut over.

Illustrative pacing based on 4,000 VMs and a cutover start of October 26, once the POC and full-estate Discovery & Wave Planning wrap up. Three reference paces below — or plug in your own numbers underneath and see what they mean for your timeline.

75 VMs / wk
Steady Pace
Full estate complete—
Active cutover span—
Recommended starting point
100 VMs / wk
Accelerated Pace
Full estate complete—
Active cutover span—
150 VMs / wk
Sprint Pace
Full estate complete—
Active cutover span—

For context: most teams sustain 75–100 VMs/week once waves are running smoothly. A handful of high-velocity engagements — more automation, more parallel waves, tighter change windows — have reached 400+ VMs/week.

Full-estate completion, by pace
Same start (Oct 26, 2026) · bar length = time to migrate all 4,000 VMs
Steady · 75/wk
Accelerated · 100/wk
Sprint · 150/wk
Bar end = date all 4,000 VMs are live in ARO

Why these dates aren't just "VMs ÷ rate"

Every pace above assumes real change-freeze windows — Thanksgiving week and the Christmas/New Year weeks each year run at zero cutover volume, the way any operations-critical environment should treat them. That's why the math below isn't a straight line: it's calendar-aware, the same way your actual migration will be. Use the calculator below to plug in a rate your team believes is realistic, or work backwards from a date you care about.

What if your team can sustain a different pace?

Enter a weekly cutover rate and we'll plot it on the chart above and tell you the completion date.

VMs / week
At 90 VMs/week, all 4,000 VMs would be live by —.

Working backwards from a date

Pick a date you care about and we'll tell you the sustained weekly rate it would take to finish the full 4,000-VM estate by then.

To finish all 4,000 VMs by Dec 31, 2026 would take roughly — VMs/week — shown as the dashed line above.

The Plan, Visually

From a 1-week POC to a fully migrated estate.

Two views of the same plan: the proof point, and the program it unlocks.

POC Week — Sept 14–18, 2026

Mon

ARO prep & appliances

Environment ready, ports open to RiverMeadow SaaS.

Tue

Platform configured

Source and target connected end-to-end.

Wed – Thu

Migrate, test, validate

Win / Linux / DB use cases proven in ARO.

Fri

Readout & go/no-go

Wave plan and cadence agreed for the full migration.

Full Migration — Sept 2026 through completion

Sept 14–18

POC complete

Pattern proven on real workloads.

Sept 21 – Oct 23

Discovery & wave planning

All 4,000 VMs inventoried and sequenced (Discovery, 4 weeks; Wave Planning, weeks 4–6).

Oct 26 onward

Cutover begins

Wave 1 live, pace selected together.

Ongoing

Full completion, per your pace

See the Path to Completion planner above — faster pace, sooner finish.

Why This Partnership Works

You're not choosing a tool. You're choosing a coordinated team behind the platform.

RiverMeadow doesn't do this alone. AHEAD and Red Hat are part of the plan, so the platform, the delivery, and the automation are aligned from day one instead of stitched together after the fact.

RiverMeadow
AHEAD
Red Hat
Red Hat

A true OpenShift alignment

ARO is Microsoft and Red Hat's jointly managed service. RiverMeadow's automation is built to move workloads natively into OpenShift Virtualization — you're landing on the platform, not fighting it.

AHEAD

Delivery muscle on the ground

AHEAD brings deep Red Hat and Azure infrastructure expertise to cluster readiness, environment design, and ongoing operations after cutover — alongside RiverMeadow, not handed off separately.

RiverMeadow

The automation layer

RiverMeadow absorbs the migration risk and hours that native tooling and manual rebuilds would otherwise ask your team to carry.

Together

One accountable plan, three specialists

RiverMeadow automates the move, AHEAD delivers and operates the environment, Red Hat stands behind the platform — one coordinated plan instead of three vendors pointing at each other.

Beyond This Migration

This project is chapter one, not the whole story.

The same platform that moves your 4,000 VMs into ARO keeps paying off long after cutover — across modernization, other environments, and other clouds.

OS & SQL Server modernization at scale

Apply the same automated upgrade path to retire Windows/Linux end-of-life exposure and SQL Server ESU costs across the rest of the JCI estate, not just these 4,000 VMs.

A repeatable migration factory

The wave methodology proven here becomes a reusable playbook for other business units, data centers, or future moves — Azure, AWS, Google Cloud, or back on-prem.

Any-to-any optionality

No source or target lock-in. The next move — cloud-to-cloud, repatriation, M&A integration — doesn't require a new toolchain.

Continuous optimization

Post-migration rightsizing and CIS hardening keep the environment lean and secure long after go-live, not just on cutover day.

Let's start with a 1-week POC, not a 4,000-VM leap of faith.

Prove the pattern on real Windows, Linux, and DB workloads before committing to the full estate. We'll bring the platform and the plan — you bring the environment.

TC
Tad Chance
SVP of Sales, RiverMeadow · tad.chance@rivermeadow.com