Business Challenge
Cloud migration with the proof before the cutover
The cloud bill is easy to start and the estate is hard to finish — most migrations discover performance, dependency and cost surprises in production. We migrate in assessed waves, prove performance before every cutover, and keep both estates visible until the last workload lands.
- AWS · Azure · GCP delivery
- Performance-proven cutovers
- Cost modeled before commitment
Why this is on your agenda
Why migrations surprise — and how waves prevent it
Cloud migrations rarely fail loudly; they disappoint quietly. Applications lifted without assessment run slower and cost more than they did on-premises. Dependencies nobody mapped break in the move. And the business case — written against list prices and optimistic timelines — meets its first real bill.
Disciplined migrations move in waves: each workload assessed for the right strategy — rehost, replatform, refactor or retire — each wave performance-baselined before and validated after, costs modeled against measured usage rather than hope, and observability spanning both estates so the long middle of coexistence stays safe.
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The platform decision is madeFor most enterprises the question is no longer whether, but how safely and at what cost.
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Dependencies hide everywhereDecades of integrations make every workload's blast radius bigger than its diagram.
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Cloud bills reward disciplineThe same workload costs wildly different amounts depending on how it lands.
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Data-center deadlines loomContract expiries and hardware refreshes put clocks on careful work.
Key business challenges
Where cloud migrations go wrong
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Lift-and-shift lands workloads that limp
Applications designed for the data center run slower and dearer in the cloud without assessment-led changes — and users notice before finance does.
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Unmapped dependencies break in transit
The undocumented feed, the hardcoded IP, the batch job nobody owns — each surfaces mid-migration as an incident.
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The business case meets the first real bill
Costs modeled from list prices miss egress, licensing, over-provisioning and the long coexistence period.
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Performance regressions ship silently
Without before-baselines, the migrated estate’s slowness has no evidence trail — only complaints.
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The long middle is the dangerous part
Months of hybrid coexistence — half here, half there — with visibility designed for neither.
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Migration consumes the team that runs things
The same engineers keeping production alive are asked to move it — one of the jobs suffers.
The Cosmonaut approach
From risky lift to proven landing
The same estate — assessed honestly, moved in reversible waves, and proven at every step against the numbers that matter.
- Strategy defaulting to lift-and-shift everything
- Dependencies discovered by breaking
- Costs projected from list prices
- No performance baselines to defend against
- Hybrid coexistence running half-blind
- Per-workload strategy: rehost, replatform, refactor, retire
- Dependency maps built before wave one
- Costs modeled from measured usage, governed after
- Every wave proven against its baseline
- One visibility layer across both estates
How engagements run
Assessment first, waves always
Assess
Portfolio, dependencies, strategy
Plan
Waves by risk & readiness
Baseline
Performance & cost before
Migrate
Reversible, windowed waves
Prove
Validated against baseline
Operate
Governed cloud steady state
Technology enablement
The estate this work covers
Business outcomes
What leadership sees change
Outcome statements describe engagement goals; measured results depend on your environment and are baselined during discovery.
Proof of progress
What the first 90 days typically produce
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Portfolio assessmentEvery workload scored: rehost, replatform, refactor or retire
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Dependency mapThe real integration topology, built before anything moves
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Wave planSequenced by risk and readiness, with rollback per wave
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Cost modelProjected from measured usage, tracked against actuals
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First wave landedMigrated, validated against baseline, and documented
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Hybrid visibility layerOne monitoring picture across both estates until done
Questions technology leaders ask
Before you commit budget
Rehost, replatform or refactor — how do you decide?
Per workload, from the assessment: business criticality, change frequency, licensing, performance sensitivity and remaining lifespan. Most portfolios end up mixed — and some workloads’ best migration is retirement.
How do you keep costs from overrunning the business case?
By modeling from measured usage before the move, right-sizing at landing rather than after, and standing up cost governance — budgets, tagging, anomaly alerts — as part of wave one, not as a cleanup project.
Can you migrate without downtime?
Most waves land in maintenance windows measured in minutes, using parallel-run and cutover patterns; where zero-downtime is genuinely required, we design for it explicitly and rehearse it before the real night.
We're mid-migration and struggling. Can you join then?
Yes — a common entry point. We assess what’s landed and what’s left, stabilize the hybrid visibility gap, and re-plan remaining waves against honest baselines.
What does a discovery workshop involve?
A structured session with infrastructure and application owners: we sample the portfolio, surface the dependency and cost risks, and leave you a prioritized findings summary you keep.
Start with a discovery workshop, not a contract
One structured session with your platform and delivery owners produces a prioritized findings summary you keep — whether or not we work together afterward.