Capacity Planning & Cost Optimization
Scale before impact. Spend what you should, not what vendors suggest.
Proactive, Not Reactive
Reactive capacity management means you add resources after performance degrades. Your users feel the pain before you fix the problem.
CloudPresto's approach: trend analysis + predictive modeling. We analyze historical patterns, identify growth trajectories, and plan capacity changes before they become urgent.
What We Analyze
Growth Trends
Traffic patterns, data growth, user count projections, mapped against resource consumption curves.
Waste Detection
Idle resources, over-provisioned instances, orphaned volumes, and unused reservations identified weekly.
Right-Sizing
Instance type recommendations based on actual workload profiles: CPU, memory, I/O, and network characteristics.
Cost Optimization Strategy
We don't just tell you to buy reserved capacity. Our optimization strategy is multi-layered:
- Eliminate waste: remove what you're not using
- Right-size: match instance types to actual workload characteristics
- Optimize purchasing: reservation planning, commitment pricing, and burst capacity strategies aligned to your usage patterns
- Architecture efficiency: identify structural changes that reduce operational cost (caching, CDN, database optimization)