Cloud Engineering

Cloud Migration

A structured migration playbook across AWS, Azure, and GCP—covering strategy, landing zones, networking, identity, and modernization—so you exit the datacenter without exploding cost, risk, or team capacity.

Landing zones Network & identity App portfolio Migration waves Cost & guardrails

Executive Summary

A migration you can explain to your board in one slide.

We anchor the migration around three measurable outcomes:

  • Cost: predictable run-rate vs. “lift-and-shift surprise”.
  • Risk: controlled cutovers, rehearsed rollback, tested DR.
  • Speed: a reusable landing zone and playbook for future waves.
If you do a “lift & shift”
  • Limited savings, and total cost can rise.
  • Legacy ops model dragged into the cloud.
  • No repeatable pattern for the next 50 apps.
If you treat it as a product
  • Cost measured against an agreed datacenter baseline.
  • A hardened, reusable landing zone.
  • Migration scorecard you can share with ELT/Board.

Why cloud migration still fails in 2025

Most failed migrations look identical: a date is announced, everything is lifted as-is, costs spike, and reliability regresses. Teams then spend the following months fixing problems that could have been designed out from the start.

The issue is rarely “cloud vs. on-prem.” It’s migrating without a clear business case, a stable landing zone, or a repeatable pattern for subsequent waves.

For technology leaders

As a CTO or VP of Engineering, your biggest risk isn’t whether a single cutover works— it’s whether the migration program stays credible after the first 3–4 waves.

  • What you can delegate: tooling, detailed runbooks, individual app plans.
  • What you must own: the migration thesis (why now), risk appetite, and how success is measured.

We make those trade-offs explicit and then design the technical plan around them.

The DevOps City migration approach

1) Strategy & business case

  • Clarify the primary driver: cost, agility, resilience, or expansion—not all three at once.
  • Model scenarios: stay-put vs. rehost vs. replatform vs. refactor, including TCO and risk.
  • Define “done” in measurable terms (e.g., X% workloads moved, Y% cost delta, DR posture).

2) Landing zone & foundations

  • Design cloud landing zones (AWS/Azure/GCP) with identity, networking, and guardrails baked in.
  • Stand up shared services: logging, monitoring, DNS, key management, backup, SSO.
  • Capture it as infrastructure-as-code so it’s repeatable and auditable.

3) Portfolio analysis & migration waves

  • Inventory applications, data stores, integrations, and operational runbooks.
  • Group workloads into waves by risk and business capability, not just org structure.
  • Select 1–2 lighthouse apps to prove the pattern end-to-end before scaling out.

4) Execute, learn, and industrialize

  • Run rehearsal cutovers and rollback drills; log friction, then update the playbook.
  • Automate as much as is sensible: golden images, validation checks, smoke tests.
  • Package the migration as an internal product: templates, FAQs, and office hours.

Migration scorecard

Executives need a simple way to see whether the migration is working. Dimensions, baselines, and targets are agreed with your organization before work starts.

DimensionBaseline (DC)Target (Cloud)Current
Run-rate infra costSet with youSet with youTracked
Critical incident rateSet with youSet with youTracked
Apps migratedSet with youSet with youTracked
Teams on landing zoneSet with youSet with youTracked

What we aim to improve

  • Predictable migration waves instead of hero projects.
  • Landing zones designed to be reusable, so future regions and acquisitions can build on them.
  • Cost and risk agreed up front with finance and security at the table.
  • Operational readiness baked in—SLOs, DR, and on-call part of the definition of done.

How we typically engage

  • Migration assessment: portfolio map, landing-zone gap analysis, and executive-level roadmap.
  • First-wave delivery: co-delivery with your teams for 1–3 lighthouse workloads.
  • Playbook & enablement: training, docs, and clinics so internal teams can own future waves.