Cost Optimization

Cost Optimization is the ability to run workloads at the lowest price point that still meets business requirements, and to understand and control spend over time.

Cleura’s pay-as-you-go, per-second billing model rewards workloads that are actively right-sized rather than statically over-provisioned.

Design principles

• Pay only for what you consume, and treat over-provisioning as a cost to be actively eliminated.
• Use storage lifecycle policies to move data to cheaper tiers as it ages.
• Track and attribute cost by project or team so accountability is clear.
• Continuously measure cost-efficiency rather than treating it as a one-off exercise.

Applying this on Cleura Cloud

• Take advantage of per-second billing on virtual machines. Only pay for the compute time that actual work uses. Shut down non-production instances outside working hours.
• Apply lifecycle and versioning policies on object storage to automatically move aging or infrequently accessed data into archival tiers.
• Use per-project quotas to prevent unplanned overspend and to attribute cost cleanly across teams, environments, or business units.
• Periodically re-evaluate the build-vs-offload trade-off: compare the cost of Cleura Managed Services against your internal operations overhead for patching, monitoring, and backup management.
• Use Cleura’s transparent, published pricing and available volume discounts to forecast spend accurately and negotiate proactively rather than reactively.

Self-assessment checklist

• Do you regularly review actual utilization against provisioned quotas and flavors?
• Are storage lifecycle policies in place to move cold data to lower-cost tiers?
• Is spend tracked and attributed by project, team, or environment?
• Are non-production environments scaled down or shut off outside business hours?
• Have you compared the cost of self-managing versus using Cleura Managed Services for this workload?