What leaders see
The system is in the cloud, but risk still feels local.
Performance, outage exposure, security questions, backup confidence, and monthly spend are still hard to explain.
Services
Cloud · Cost Optimization
Cloud should save you money, not surprise you with a bill.
Too many operators migrate to the cloud and see their infrastructure costs go up. That means the architecture was wrong, the instances were over-provisioned, or nobody set up cost governance. We right-size your cloud from day one and monitor it continuously so you get the savings you were promised.
01
The Problem
Cloud Costs More Than the On-Premise Server It Replaced
Cloud problems usually start when infrastructure is moved before ownership, recovery, cost control, and data dependencies are designed around the AI, ERP, and integration workloads.
What is actually happening
The environment was sized around assumptions.
Workload behavior, recovery requirements, network paths, observability, and operating accountability were not designed together.
What gets worse
The cloud becomes another rented server room.
The business pays for flexibility without gaining a stronger foundation for AI, ERP control, reporting, and data readiness.
02
What Changes
What this work should improve.
Too many operators migrate to the cloud and see their infrastructure costs go up. That means the architecture was wrong, the instances were over-provisioned, or nobody set up cost governance. We right-size your cloud from day one and monitor it continuously so you get the savings you were promised.
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
Where this work touches your business.
Operating infrastructure and data readinessWhich workloads move first, what has to stay isolated, and how rollback works.
Governance dependencyThe infrastructure has to support uptime, recovery, security, observability, cost control, and data access before AI depends on it.
Systems the foundation supports
ERP workloads
databases
API services
backups
logs and cost data
What Launchpad captures before Metrotechs scopes delivery
- Which system owns the record of truth.
- Where manual work or reconciliation enters the workflow.
- Which integrations, rules, or data cleanup have to come first.
Bring the problem into Launchpad
Build the Roadmap before you build the solution.
Launchpad documents what is wrong, captures what your team knows, and connects this service to the business outcome it needs to improve.
Built around the people, processes, records, and decisions that make the business work.
Measured by what becomes easier, clearer, safer, or more reliable after launch.
04
Delivery sequence
How the work moves from problem to measurable change.
Too many operators migrate to the cloud and see their infrastructure costs go up. That means the architecture was wrong, the instances were over-provisioned, or nobody set up.
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.