Guia de optimizacion de instancias reservadas
Como usar AWS Reserved Instances, Azure Reservations y GCP Committed Use Discounts para reducir costos cloud 30 a 72 por ciento.
Guias de optimizacion de costos
Guias practicas para reducir costos cloud con instancias reservadas, instancias spot, autoscaling y tiering de almacenamiento.
Cost Optimization Guides
Picking the right proveedor is only the first step. The bigger savings come from applying the right purchasing model and architecture to each carga de trabajo. This section collects CloudCost’s practical costo optimization guias — each one focused on a single mechanism that can cut your bill by 30 to 90 percent without sacrificing performance.
Available Guides
- Reserved Instances — when to commit, 1-year vs 3-year, and how to stagger reservations to avoid lock-in.
- Spot Instances — how to design for interruption, which carga de trabajos are safe on spot, and how to mix spot with on-demand for reliability.
The CloudCost Savings Hierarchy
We recommend thinking acerca de cloud costo optimization in five layers, applied in order:
- Right-size — match instancia type to actual utilization, not peak. Most carga de trabajos run at 10 to 20 percent CPU and could use a smaller instancia or a burstable family.
- Commit — convert steady-state on-demand spend to 1-year or 3-year reservada instancias or savings plans for 30 to 72 percent savings.
- Spot — move interruptible carga de trabajos (batch, CI, stateless web) to spot for 70 to 90 percent savings.
- Tier almacenamiento — move cold data to infrequent-access or archive tiers for 50 to 95 percent almacenamiento savings.
- Optimize egress — use CDNs, compression, and the right region to cut data transfer costos.
Each guia walks through one of these layers with concrete proveedor examples and pricing. Start with the reservada instancias guia if you have steady-state carga de trabajos, or the spot instancias guia if your carga de trabajo is interruptible.