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CloudLift

Reduce cloud cost and complexity without creating the next migration.

CloudLift reviews and improves cloud systems across architecture, infrastructure, operations, and cost. We simplify what is unnecessary, preserve what works, and prioritize changes with measurable value.

Decision record · 04
Constraint
Usage varies significantly across the month.
Selected
Scale capacity around measured demand.
Avoided
Permanent peak provisioning.
  • Lower baseline cost
  • Reduced idle capacity
  • No application rewrite
  • Existing operational model retained

Material recommendations are documented with the constraint, the selected approach, rejected alternatives, and the effect to be measured.

When cloud infrastructure stops matching the business.

These issues rarely come from one service or invoice line. They usually emerge from architecture, ownership, operational habits, and accumulated platform decisions.

  1. Cloud expenditure grows faster than usage.

    The bill increases, but teams cannot clearly identify which workloads, decisions, or operating patterns are responsible.

  2. Infrastructure is sized for assumptions rather than demand.

    Resources remain over-provisioned because capacity decisions are not tied to measured behavior.

  3. Platform complexity exceeds the product's needs.

    Kubernetes, service meshes, or internal platforms create more operational work than the applications justify.

  4. A migration is proposed without a clear economic case.

    The destination is known, but the cost, sequence, operational impact, and exit path are not.

  5. FinOps reports exist, but improvements do not follow.

    Cost data is visible, while ownership, prioritization, and implementation remain unresolved.

  6. Cloud-specific choices make future change expensive.

    Vendor services and architecture decisions have become difficult to isolate or replace.

Three ways we improve cloud systems.

Review & Prioritize

Independent analysis of cloud cost, architecture, operations, and risk.

  • Cloud cost and architecture review
  • Resource and workload analysis
  • Platform and Kubernetes assessment
  • Migration proposal review
  • Prioritized improvement roadmap

Identify the changes that matter first.

Simplify & Optimize

Focused implementation that reduces waste, complexity, and recurring operational effort.

  • Capacity and resource optimization
  • Infrastructure simplification
  • Storage and data-transfer reduction
  • Dependency and service consolidation
  • Cost allocation and budget controls

Reduce cost without weakening the system.

Modernize & Migrate

Controlled cloud modernization based on measurable need rather than migration momentum.

  • Incremental cloud migration
  • Platform and workload consolidation
  • Managed-service evaluation
  • Vendor-specific boundary design
  • Migration sequencing and implementation

Change the platform without creating another recovery project.

Cost optimization is an architecture problem.

Cloud cost is shaped by system boundaries, data movement, runtime behavior, deployment models, operational habits, and organizational ownership. We treat the invoice as evidence, not the complete diagnosis.

Fig. 01 · provisioned against used illustrative computeused / provisioned storageused / provisioned platform overheadjustified / running

The gap is the finding. Shapes shown are illustrative until an engagement supplies measurements.

  1. Measure cost against actual product behavior
  2. Optimize architecture before applying billing discounts
  3. Reduce idle capacity and unnecessary data movement
  4. Use managed services only when their lifecycle value is clear
  5. Keep vendor-specific choices isolated where change is plausible
  6. Prefer improvements that reduce both cost and operational effort

Cloud cost and architecture review.

A fixed-scope assessment for organizations that need to understand where cloud cost, complexity, and operational risk are coming from before committing to another platform initiative.

What we review

  • Cloud expenditure and allocation
  • Workload sizing and utilization
  • Compute, storage, networking, and database cost
  • Architecture-related cost drivers
  • Kubernetes and platform overhead
  • Vendor-specific dependencies
  • Reliability and operational constraints
  • Migration and modernization proposals

What you receive

  • Current-state findings
  • Cost and complexity map
  • Prioritized improvement opportunities
  • Architecture recommendations
  • Risk and dependency observations
  • Prioritized implementation plan with sequencing and expected outcomes
  • Executive and technical review sessions

Scope, duration, and fee are agreed before the engagement begins, based on the size of the estate and the number of accounts in scope.

Discuss an assessment

What guides our recommendations.

Cost follows architecture
Infrastructure invoices reflect system and operational decisions, not only resource prices.
Usage before assumptions
Capacity decisions should follow measured demand and service objectives.
Simplification before migration
Moving complexity does not remove it. Reduce what is unnecessary before changing platforms.
Discounts come after design
Reservations and commitments cannot compensate for poorly aligned architecture.
Reliability must match business impact
Availability, redundancy, recovery time, and regional design should reflect the actual cost of disruption.
Efficiency includes engineering time
A cheaper resource can still be expensive if it creates recurring operational work.

Measure, understand, prioritize, change, verify.

  1. Measure

    Establish cost, utilization, workload, and operational baselines.

  2. Understand

    Connect expenditure to architecture, product behavior, and ownership.

  3. Prioritize

    Rank changes by savings, risk, effort, and reversibility.

  4. Change

    Implement improvements without compromising reliability or maintainability.

  5. Verify

    Measure the actual effect and update the next priorities.

We can provide the assessment, implement selected improvements, or continue with ongoing architecture support.

Measurement framework.

Each engagement establishes a baseline, defines the expected effect, and verifies the result using an agreed measurement method.

What is normally measured

  • Cost and allocation
  • Resource utilization
  • Data transfer
  • Operational effort
  • Reliability constraints
  • Vendor dependencies

How a change is verified

  1. Baseline established
  2. Change implemented
  3. Effect verified

Client results are published only when they can be anonymized and the measurement method can be stated.

Cloud specialization backed by broader software engineering.

CloudLift is the cloud optimization and modernization practice within StratusWorks. When improvements require software architecture, application changes, integrations, or implementation work, the same practice can carry the decision through architecture and implementation.

Explore StratusWorks
StratusWorks

Architecture and software engineering

Make the cloud fit the system, not the other way around.

Tell us where cost, complexity, or migration pressure is building. We will help identify the first decision worth making.

Cloud cost reviews · architecture assessments · platform simplification · modernization · migration planning

hello@cloudlift.co · Vienna, Austria