Services

Cloud · Cost Optimization

Cloud Cost Optimization

Make cloud cost traceable to the manufacturing workloads creating it. ERP environments, integrations, data pipelines, portals, backups, and analytics consume cloud resources differently. We establish workload ownership, cost allocation, utilization evidence, scaling rules, and operational guardrails before changing architecture or capacity.

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01

The Problem

Cloud spending is rising without accountable workload ownership or operating evidence.

Cloud problems begin when workloads move or grow without a clear account of the business dependencies, access, recovery, security, monitoring, ownership, and cost behind them.

01

What leaders see

Reliability, access, and cost are difficult to explain.

Teams know the infrastructure matters but cannot connect incidents, spending, recovery, or performance to the work it supports.

02

What is actually happening

The workload has no complete operating model.

Dependencies, controls, recovery objectives, monitoring, and ownership are distributed across tools, vendors, and individual knowledge.

03

What gets worse

Migration moves the uncertainty instead of resolving it.

The platform changes while weak access, integration, recovery, cost, and support practices remain.

02

What Changes

What Cloud Cost Optimization includes.

ERP environments, integrations, data pipelines, portals, backups, and analytics consume cloud resources differently. We establish workload ownership, cost allocation, utilization evidence, scaling rules, and operational guardrails before changing architecture or capacity.

01

Instance Right-Sizing

Analyze actual workload utilization and right-size every instance. Operating workloads are often over-provisioned by 40–60% because they were sized for theoretical peak, not measured demand.

02

Reserved Capacity Planning

Identify stable workloads eligible for reserved instances or savings plans. Typical savings: 30–50% vs. on-demand pricing for predictable production workloads like ERP and databases.

03

Auto-Scaling Policies

Configure auto-scaling for workloads with variable demand — BI reporting, data processing, and web applications. Scale up for load, scale down to save. Non-production environments shut down after hours.

04

Storage Optimization

Implement tiered storage policies — active data on SSD, warm data on standard storage, archives on cold storage. Lifecycle policies move data automatically based on access patterns.

05

Cost Allocation & Tagging

Tag every resource by department, project, and environment. Cost allocation reports show who’s spending what and where. Cost accountability drives optimization behavior.

06

Ongoing Cost Monitoring

Monthly cost reviews with anomaly detection, optimization recommendations, and trend analysis. Budget alerts prevent surprises. Continuous optimization as workloads and pricing evolve.

03

How It Fits Your Operations

How Cloud Cost Optimization fits your operation.

Cloud & InfrastructureWhich workloads should change, what continuity the business requires, and how security, recovery, access, integration, and cost will be governed.
Governance dependencyCloud work needs documented workload dependencies, access rules, recovery objectives, security controls, monitoring, cost ownership, and a tested operating model.
Workloads and controls to protect
business applications
databases and files
identity and access
integrations and networks
backup and recovery

What must be defined before engineering begins

  • What the business needs to change and why.
  • Which systems, records, risks, and readiness gaps shape the work.
  • What should be built, how it fits the architecture, and in what order.

Related Services and Planning

What to evaluate next.

Follow the dependencies behind this service instead of treating it as an isolated project.

Start With the Operating Problem

Define the smallest sound response and delivery sequence.

Metrotechs determines what the operation actually requires before selecting technology. When a structured assessment is warranted, Launchpad turns evidence into priorities, risks, architecture, and an implementation Roadmap.

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Metrotechs designs, builds, integrates, and supports the approved solution.
Launchpad is available when the engagement needs assessment evidence, a Roadmap, and ongoing delivery governance.

04

Delivery sequence

How Metrotechs delivers Cloud Cost Optimization.

ERP environments, integrations, data pipelines, portals, backups, and analytics consume cloud resources differently. We establish workload ownership, cost allocation, utilization.

01

Cost Baseline

Establish current cloud spend by service, resource, and workload. Compare against on-premise TCO to quantify the gap between expected and actual savings.

02

Optimization Analysis

Identify right-sizing opportunities, reserved capacity candidates, orphaned resources, and storage optimization targets. Quantify potential savings for each recommendation.

03

Implementation

Execute optimizations — resize instances, purchase reservations, implement auto-scaling, configure storage tiering, and set up tagging and cost allocation.

04

Ongoing Governance

Monthly cost reviews, new resource governance, and continuous optimization. Budget dashboards and anomaly alerts keep costs visible and controlled.

05

FAQ

Questions that usually decide the scope.

Straight answers to what operators ask before committing budget to this work.

Typical optimization results: 25–45% reduction in monthly cloud spend through right-sizing, reserved capacity, auto-scaling, and orphan cleanup. Savings depend on current waste level — operators who migrated without cost governance usually have the most opportunity.