Drezen Technology

Cloud & DevOps

Cloud Consulting and Migration Services

AWS, Azure and GCP migrations that land on budget and stay there.
Typical run-rate reduction vs. naive migration
25–40%Typical run-rate reduction vs. naive migration
Planned downtime for most workloads
0Planned downtime for most workloads

About Cloud Consulting & Migration

Cloud migrations go wrong in two predictable ways. The first is the lift-and-shift that changes the hosting bill without changing anything else — same architecture, same manual processes, now with per-hour pricing and a surprise egress line item. The second is the over-engineered replatform that turns a six-month project into an eighteen-month one because someone decided everything should be serverless microservices before anyone had established what the actual constraints were.

We start with an assessment that produces numbers, not adjectives: a full application and dependency inventory, current total cost of ownership including the staff time nobody counts, a per-workload disposition decision across rehost, replatform, refactor, repurchase and retire, and a modelled target-state cost with the assumptions written down. That document is what the business case is approved against, and it is deliberately conservative.

Execution begins with a landing zone — account or subscription structure, network topology, identity and access boundaries, guardrails, logging, and cost allocation tags — because retrofitting governance onto a populated cloud estate is painful and expensive. Then workloads move in dependency-ordered waves, each with a rehearsed cutover, a tested rollback, and validation criteria agreed in advance. Data migration is the usual critical path, so we plan replication, consistency verification and the cutover window early rather than discovering the problem in month four.

FinOps is part of the engagement, not an afterthought. Right-sizing, commitment planning, storage lifecycle policies, autoscaling that actually scales down, and per-team cost visibility typically recover 25–40% against the naive post-migration bill. We hand over dashboards, tagging discipline and a written operating model so the savings persist after we leave.

Why it matters

What you get

A business case built on real numbers

Full inventory, current TCO including hidden staff cost, and a modelled target state with assumptions documented and stress-tested.

Governance before workloads

Landing zone with account structure, network topology, identity boundaries, guardrails and cost tagging established before the first migration wave.

Migration without downtime

Dependency-ordered waves, rehearsed cutovers, tested rollback paths and agreed validation criteria for every workload that moves.

Cost controlled from day one

Right-sizing, commitment planning, storage lifecycle rules and genuine scale-to-zero — typically 25–40% below the naive post-migration run rate.

An operating model, not just infrastructure

Runbooks, dashboards, tagging standards and team-level cost accountability so the estate stays healthy after handover.

How we deliver

Our process for this work

Adapted to this service specifically — not a generic five-box diagram.

  1. 01

    Assessment & business case

    3–5 weeks

    Application and dependency inventory, current TCO, per-workload disposition across the 6 Rs, target architecture and modelled cost.

  2. 02

    Landing zone

    3–5 weeks

    Account structure, networking, identity, guardrails, centralised logging, backup policy and cost allocation — all defined as code.

  3. 03

    Pilot wave

    4–6 weeks

    A low-risk but representative workload migrated end to end to validate tooling, cutover process, rollback and cost model.

  4. 04

    Migration waves

    3–12 months

    Dependency-ordered waves with rehearsed cutovers, data replication and verification, and post-move validation against agreed criteria.

  5. 05

    Optimise & operate

    Ongoing

    FinOps cadence, reliability improvement, right-sizing reviews and knowledge transfer to your platform team.

Proof

All case studies
Fintech & Financial Services11 months

Migrating a regional bank to AWS without a maintenance window

43 workloads moved from two ageing data centres to AWS in eleven months, with a governed landing zone and a 34% run-rate reduction.

Unplanned outages during migration
0Unplanned outages during migration
Infrastructure run-rate reduction
34%Infrastructure run-rate reduction
Environment provisioning time
11 days → 40 minEnvironment provisioning time
Read the case study

Answers

Cloud Consulting & Migration — common questions

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SLOs, observability and incident practice that make uptime predictable.

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Legacy System Modernization

Replace the engine without stopping the car.

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Thinking about cloud consulting & migration?

Tell us the problem rather than the solution. A 30-minute call is usually enough for both of us to know whether this is the right service and whether we are the right team.

sales@drezentechnology.comUsually replies within one business day