Business outcome
Use this capability when the framework shows that availability, access, recovery, security, data movement, or infrastructure risk is interrupting the people and systems required to keep a customer promise.
Services
Cloud & Infrastructure · Cloud · Cost Optimization
Cloud Cost Optimization
Make cloud cost traceable to the workloads and operating value 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.
Launchpad assesses the operating need and creates the Roadmap. We engineer this capability when the approved plan calls for it.
A strong fit when
- Instances sized for theoretical peak load run around the clock at a fraction of actual utilization
- Nobody revisited reserved capacity or savings plans after the initial migration
- Orphaned volumes, snapshots, and idle resources accumulate without anyone noticing
- Cost governance was never set up, so spend grows with usage instead of shrinking with optimization
Why this service exists
Connect the technology decision to the work the manufacturing business must control.
System responsibility
Cloud engineering provides the controlled infrastructure, access, connectivity, security, observability, backup, and recovery that connected business systems require.
Ownership and control
The manufacturer should understand workload dependencies, access, recovery objectives, cost, controls, vendors, and the operating practices required to change or recover the environment.
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.
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.
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.
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
Make the operating responsibility visible and governable.
ERP environments, integrations, data pipelines, portals, backups, and analytics consume cloud resources differently. We establish workload ownership, cost allocation, utilization evidence,.
01
Operating outcome
Make cloud cost traceable to the workloads and operating value creating it.
02
Workloads and controls to protect
business applications, databases and files, identity and access
03
Decision and exception path
Which workloads should change, what continuity the business requires, and how security, recovery, access, integration, and cost will be governed.
04
Ownership and continuity
Cloud work needs documented workload dependencies, access rules, recovery objectives, security controls, monitoring, cost ownership, and a tested operating model.
03
Architecture
Build the service around the business record and decision.
Which workloads should change, what continuity the business requires, and how security, recovery, access, integration, and cost will be governed.
01Source record
02Governed connection
03Validation
04Business system
05Accountable owner
Workloads and controls to protect
business applicationsdatabases and filesidentity and accessintegrations and networksbackup and recovery
04
Engineering scope
What Metrotechs engineers for Cloud Cost Optimization.
The exact scope follows the approved business objective, source records, dependencies, controls, and delivery sequence.
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.
05
Delivery sequence
From operating reality to a solution the business can own.
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.
Optimization Analysis
Identify right-sizing opportunities, reserved capacity candidates, orphaned resources, and storage optimization targets. Quantify potential savings for each recommendation.
Implementation
Execute optimizations — resize instances, purchase reservations, implement auto-scaling, configure storage tiering, and set up tagging and cost allocation.
Ongoing Governance
Monthly cost reviews, new resource governance, and continuous optimization. Budget dashboards and anomaly alerts keep costs visible and controlled.
Related services and systems
Continue through the connected operating environment.
Use these connected services and references to understand the records, workflows, and systems surrounding this work.
06
FAQ
Questions to answer before implementation begins.
Clear answers for manufacturing leaders evaluating the work, operating responsibility, and delivery path.
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.