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Stop overspending on cloud

Expert cost optimization across AWS, Azure, and GCP. We find waste, right-size resources, and implement governance so savings stick.

Typical target: 20%–40% savings opportunities where the environment has enough waste, commitment gaps, or governance issues to address. Ongoing monitoring keeps costs under control.

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Deep cost assessment

Analyze workloads, usage patterns, and pricing to find concrete savings without sacrificing reliability.

Right-sizing and commitments

Identify over-provisioned resources and design reserved instance or savings plans that match reality.

Continuous cost governance

Dashboards, alerts, and practices that keep costs optimized over time—not just in a one-off project.

Service playbook

From problem to operating evidence

Main content is structured like a case study: context first, scoped work next, then the operating changes and evidence a team can use after handoff.

Service briefWhat we deliverOptimization ProcessTools & TechnologiesCommon Savings Opportunities

Assistance cloud cost consulting helps AWS, Azure, and GCP customers identify and execute typical 20%–40% savings opportunities without sacrificing performance. Actual outcomes depend on workload mix, baseline waste, commitment coverage, governance maturity, and how much change your team can safely implement.

Case-study lens

Scoped

Problem, responsibility, and handoff boundaries before implementation.

Evidence

Dashboards, runbooks, reviews, and operating records over borrowed logos.

Outcomes

Conservative summaries focused on observable operational improvement.

ScopeSection 01

What we deliver

The work is broken into visible capabilities, acceptance points, and handoff artifacts.

What changes

Instance Rightsizing

  • Workload Analysis: Match instances to actual CPU/memory requirements
  • Instance Family Optimization: Choose the most cost-effective instance types
  • Burst vs. Steady State: Optimize for different workload patterns
  • Performance Monitoring: Continuously monitor and adjust sizing

What changes

Reserved & Spot Instances

  • RI Planning: Analyze usage patterns and plan optimal RI purchases
  • Blended Rate Optimization: Combine RIs, on-demand, and spot instances
  • Spot Instance Strategies: Implement fault-tolerant architectures for spot savings
  • Market Timing: Purchase RIs at optimal times for maximum discounts

What changes

Storage & Data Optimization

  • Storage Tiering: Implement intelligent storage class migration
  • Lifecycle Policies: Automate data archival and deletion
  • Database Optimization: Right-size databases and implement read replicas
  • Backup Strategy: Optimize backup retention and storage costs

What changes

Network & CDN Optimization

  • Data Transfer Costs: Minimize egress charges through architecture changes
  • CDN Implementation: Reduce bandwidth costs and improve performance
  • Region Optimization: Place resources in cost-effective regions
  • Peering Connections: Use direct connections for reduced network costs
Operating modelSection 02

Optimization Process

The section clarifies how production responsibilities change once the service is in place.

  1. Cost Discovery
  • Analyze current spending patterns
  • Identify waste and optimization opportunities
  • Map costs to teams and applications
  1. Optimization Planning
  • Develop comprehensive optimization strategy
  • Prioritize quick wins and long-term initiatives
  • Calculate potential savings and ROI
  1. Implementation
  • Execute optimization measures
  • Implement automation and policies
  • Configure monitoring and alerting
  1. Continuous Improvement
  • Monthly cost reviews
  • Ongoing optimization
  • Governance updates
OutcomeSection 03

Tools & Technologies

Expected changes are framed as practical operating improvements, not unsupported guarantees.

  • Cloud Native Tools: AWS Cost Explorer, GCP Cost Management, Azure Cost Management
  • Third-party Platforms: Cloudability, CloudHealth, Apptio, CloudZero
  • Monitoring Solutions: Custom cost dashboards, Prometheus exporters
  • Automation Scripts: Resource cleanup, rightsizing recommendations, policy enforcement
EvidenceSection 04

Common Savings Opportunities

Runbooks, dashboards, reviews, and handoff material make the work auditable.

What changes

Quick Wins (30 days)

  • Unused resource cleanup
  • Instance rightsizing
  • Storage tiering
  • Simple tagging improvements

What changes

Medium-term (90 days)

  • Reserved instance planning
  • Spot instance adoption
  • Storage lifecycle policies
  • Network architecture optimization

What changes

Long-term (6 months)

  • Automated cost governance
  • FinOps process implementation
  • Chargeback and showback systems
  • Multi-cloud cost optimization
EvidenceSection 05

Success metrics

Reliability signals are treated as decision evidence, not dashboards for their own sake.

MetricTypical result
Cost reduction opportunitiesTypical target of 20%–40% where current waste, commitment gaps, or governance issues justify it
Resource waste eliminated30%+
Cost anomalies caught90%+
Time to first savings30 days

We prioritize low-effort, high-impact changes—unused resources, rightsizing, storage tiering—so you see savings within 30 days. Then we tackle reserved instances and architectural changes for long-term gains.

Next stepSection 06

Getting started

Decision points and common questions are made explicit so follow-up work is scoped cleanly.

Wondering how much you could save? We'll analyze your cloud spend and provide a free assessment with concrete recommendations. Request Cost Assessment →

Next stepSection 07

Related resources

Decision points and common questions are made explicit so follow-up work is scoped cleanly.

Ready to get started?

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Pricing

Flexible scopes available. if you need custom terms or bundled service pricing.

Hourly rate
€120/hr

Minimum engagement: 20 hours

Cloud cost analysis and optimization across AWS, Azure, and GCP. We identify waste, rightsize resources, and execute typical 20%–40% savings opportunities where the environment supports them.

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