cost-optimization
Deep cloud cost assessment
Analyze your workloads, usage patterns, and pricing to find concrete savings without sacrificing reliability.
Right-sizing and commitment planning
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.
Cloud Cost Optimization
Reduce cloud spend by 30-60% without sacrificing performance
Reduce your cloud infrastructure costs by 30-60% without sacrificing performance. We implement comprehensive cost optimization strategies across AWS, GCP, Azure, and other cloud providers.
What we deliver
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
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
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
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
Optimization Process
- Cost Discovery
- Analyze current spending patterns
- Identify waste and optimization opportunities
- Map costs to teams and applications
- Optimization Planning
- Develop comprehensive optimization strategy
- Prioritize quick wins and long-term initiatives
- Calculate potential savings and ROI
- Implementation
- Execute optimization measures
- Implement automation and policies
- Configure monitoring and alerting
- Continuous Improvement
- Monthly cost reviews
- Ongoing optimization
- Governance updates
Tools & Technologies
- 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
Common Savings Opportunities
Quick Wins (30 days)
- Unused resource cleanup
- Instance rightsizing
- Storage tiering
- Simple tagging improvements
Medium-term (90 days)
- Reserved instance planning
- Spot instance adoption
- Storage lifecycle policies
- Network architecture optimization
Long-term (6 months)
- Automated cost governance
- FinOps process implementation
- Chargeback and showback systems
- Multi-cloud cost optimization
Success metrics
| Metric | Typical result |
|---|---|
| Cost reduction | 30-60% in first year |
| Resource waste eliminated | 30%+ |
| Cost anomalies caught | 90%+ |
| Time to first savings | 30 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.
Getting started
Related resources
- FinOps — Financial operations for cloud accountability
- Cloud Management — Ongoing cloud operations
Ready to get started with cost-optimization?
Get a tailored quote for your needs, or talk to our engineering team directly.
Pricing
No long-term contracts. for custom arrangements.
Minimum engagement: 20 hours
Cloud cost analysis and optimization. We identify waste, rightsize resources, and implement cost-saving strategies across AWS, GCP, and Azure.