Topics
- aws
- azure
- gcp
- oci
- cost-optimization
- reserved-instances
- spot-instances
- auto-scaling
- tagging
- cloud
What it does
Provides patterns and strategies for reducing cloud costs across AWS, Azure, GCP, and OCI through resource right-sizing, reserved instances, spot/preemptible instances, and tagging. Covers visibility, pricing models, architecture optimization, and cost monitoring with concrete examples for each cloud provider.
Generated from the current SKILL.md.
Frequently asked
Does this skill cover all four major cloud providers?
Yes. The skill includes specific cost optimization strategies for AWS, Azure, GCP, and OCI, with concrete examples like reserved instances, savings plans, and committed use discounts for each.
What should I focus on first when optimizing cloud costs?
Start with visibility by implementing cost allocation tags and setting up cost dashboards, then move to right-sizing resources based on utilization analysis and removing idle resources.
Does this skill include infrastructure-as-code examples?
Yes. The skill provides Terraform and HCL examples for S3 lifecycle policies, budget alerts, auto-scaling policies, and tagging strategies across AWS.
Can I use this for multi-cloud cost optimization?
Yes. The skill covers cost optimization patterns across AWS, Azure, GCP, and OCI separately, and references multi-cloud tools like CloudHealth and Cloudability for unified visibility.
Does this cover reserved instances and spot/preemptible instances?
Yes. It details reserved capacity (with specific savings percentages like 30-72% for AWS), savings plans, and spot/preemptible instances (up to 90% savings for AWS spot, 80% for GCP preemptible).
Generated from the current SKILL.md. These answers refresh after source changes.