Prepared for Artera, following our conversation with the Google Cloud team

Your path to Google Cloud, mapped out.

A recap of what we heard about Artera's move to Google Cloud, and how RiverMeadow takes you from discovery through cutover with near-zero disruption to the field operations and systems your crews depend on every day.

116
Virtual machines to migrate
Win + Linux
Mixed OS environment
Dec 31, 2026
Target completion
Google Cloud
Destination platform

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 in the room, so we're solving for the right problem together.

116 VMs, end-to-end

A full environment move, mainly Windows Server workloads with a meaningful number of Linux systems mixed in, not a partial lift.

A hard date, not a rough target

Everything lands in Google Cloud by the end of the year. That deadline shapes how we sequence discovery, waves, and cutover from day one.

Zero tolerance for disruption

Crews, dispatch, and field operations can't go dark. Migration downtime isn't a line item you're willing to absorb, it's risk on a jobsite.

A mixed, real-world estate

Windows and Linux side by side means the platform doing the work has to handle both natively, not treat one as an afterthought.

One platform, six operating companies

DDS, Feeney Brothers, Hydro-X, Miller Pipeline, Otis Minnesota, and Southeast Connections all lean on this environment. One migration standard beats six different playbooks.

A cleaner environment on the other side

This is also a chance to shed technical debt, close security gaps on older OS versions, and land in Google Cloud right-sized, not just relocated.

Why RiverMeadow

One platform, purpose-built to move you into Google Cloud 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 Google Cloud 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 migrations 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 Google Cloud more secure than you left, which matters when the systems in scope support gas, electric, and water infrastructure.

Win + Linux
native support

Built for mixed estates

Windows and Linux are 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 the new environment.

Proof it works on Google Cloud, specifically: Mitel, a global business communications leader, used RiverMeadow to migrate 1,000 workloads to Google Cloud in under 90 days, 60% faster than a conventional approach. Your 116 VMs across six operating companies is exactly the kind of environment this platform was built to move.

The Migration Journey

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

Six phases, one continuous plan. Scroll through it the way your migration will actually unfold.

1

Discovery & Assessment

Weeks 1–3

We start with a full, automated inventory of all 116 VMs: OS versions, dependencies, performance baselines, and Windows/Linux split, so nothing surprises us mid-migration.

RiverMeadow does
  • Automated discovery across the estate
  • Dependency & application mapping
  • Right-sizing analysis for Google Cloud
You get
  • A complete, validated picture of your 116 VMs
  • Early flags on any risky or legacy systems
2

Wave Planning & Design

Weeks 3–5

We group your VMs into migration waves by dependency, risk, and business priority, then build a sequence that lands everything by December 31 without rushing the workloads that matter most.

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

Automated Replication

Rolling, by wave

RiverMeadow replicates each wave into Google Cloud 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 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 Linux conversion 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 Google Cloud 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 through Dec 31

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 Google Cloud 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
  • All 116 VMs live in Google Cloud on schedule
  • RiverMeadow present through go-live, not a handoff and goodbye

Path to December 31

What a realistic path to your deadline looks like from here.

This is an illustrative pace based on 116 VMs, a September 21 start, and the holidays ahead. We'll finalize exact wave sizes and dates together once Discovery is complete.

About 12 weeks of active work, with the holidays built in, not fought against

Starting September 21, Discovery kicks off immediately so Wave 1 can prove the pattern by mid-October, well ahead of the holiday season.

Deadline: Dec 31, 2026
Sept 21 – Oct 16

Assessment complete

All 116 VMs inventoried, waves defined and sized, plan signed off.

Oct 19 – Oct 30

Wave 1 pilot live (~10 VMs)

Process proven end-to-end before scaling to the full estate.

Nov 2 – Nov 20

Waves 2–3 live (~70 VMs)

Bulk of the migration completes ahead of the Thanksgiving pause.

Nov 30 – Dec 11

Wave 4 live, all 116 VMs complete

Final wave (~36 VMs) closes out the estate, three weeks ahead of Dec 31.

This plan keeps Thanksgiving week (Nov 23–27) and the December holidays clear of cutover activity on purpose, your crews and ours both need that time. Targeting full completion by December 11 leaves three weeks of buffer before December 31, not a scramble to the finish line.

Why This Partnership Works

You're not choosing a tool. You're choosing a way to de-risk this move.

Built for essential infrastructure operators

RiverMeadow works with organizations running mission-critical systems, where downtime has real operational consequences on the ground, not just an IT inconvenience.

A true Google Cloud partner

Google brought this conversation to the table because RiverMeadow has a track record of getting workloads into Google Cloud correctly and quickly.

The alternative to DIY risk

Native tooling and manual rebuilds ask your team to absorb the downtime risk and the hours. RiverMeadow absorbs that instead, with a platform built for exactly this.

A deadline that's respected, not just hoped for

Wave-based execution across all six operating companies means progress is visible from week one, so December 31 is a managed outcome, not a last-minute scramble.

We look forward to our technical deep dive and demo.

We'll walk through the RiverMeadow platform in detail and show you exactly how it handles your 116 VMs, wave by wave, from discovery through cutover.

TC
Tad Chance
SVP of Sales, RiverMeadow