resilience-program-design

bởi aws

Thiết kế chương trình phục hồi: cách cấu trúc và chuẩn hóa các chính sách phục hồi trên toàn tổ chức, nhóm hoặc danh mục đầu tư (mô hình chính sách phân tầng với…

npx skills add https://github.com/aws/agent-toolkit-for-aws --skill resilience-program-design

Resilience Program Design

Overview

Planning-level guidance for an organization's resilience program: how to structure policies by tier, and how often to run resilience activities.

Structuring resilience policies across an organization

Recommend a tiered policy model (not one policy per service): classify services by business criticality and set policy targets accordingly.

  • Availability SLO — higher as criticality rises. The API accepts only a fixed set of SLO values and rejects out-of-set ones, so confirm the valid values from the API/docs (e.g. aws resiliencehubv2 create-policy help or the Resilience Hub documentation) rather than relying on a hardcoded list — illustratively, values such as 99.9/99.95/99.99.
  • RTO/RPO — tighten as criticality rises (single-digit minutes for critical, hours for low).
  • DR approach — match to criticality (more aggressive for more critical), using a value from the API's DR-approach enum — verify the valid set via the API/docs (e.g. aws resiliencehubv2 create-policy help); illustratively ACTIVE_ACTIVEBACKUP_AND_RESTORE.

Example (illustrative — resolve the actual enum values against the API before recommending): payments/auth → 99.99 + single-digit-minute RTO + ACTIVE_ACTIVE; internal tools → 99.9 + tens-of-minutes RTO + WARM_STANDBY; dev/test → 99.9 + multi-hour RTO + BACKUP_AND_RESTORE.

Warn against contradictory policies (e.g. the maximum SLO 99.99 with BACKUP_AND_RESTORE, or multi-region RTO shorter than multi-AZ RTO).

How often to run resilience activities (cadence)

Recommend this minimum cadence when asked how often to run resilience activities:

  • Continuous: ARC zonal autoshift practice runs (automated)
  • Weekly: review the Resilience Hub findings dashboard
  • Monthly: run FIS experiments (single-service fault-injection tests)
  • Quarterly: cross-service GameDay
  • Event-driven: after every production incident and before/after major deployments

Security Considerations

Program-level guidance — bake security into the standards you set:

  • Standardize least privilege: require every resilience role (Resilience Hub invoker, FIS execution, ARC operator) in your templates and policies to be least-privilege and resource-scoped, with aws:SourceArn / aws:SourceAccount condition keys on their trust policies to prevent confused-deputy access.
  • Mandate short-lived credentials: require all resilience automation to authenticate as IAM roles with short-lived credentials (role assumption, AWS SSO, instance profiles) — never IAM users with long-lived access keys — as a program standard, since these roles perform privileged and potentially destructive operations.
  • Mandate encryption: make SSE-KMS on report/state buckets part of your tier baseline, and enforce encryption in transit (TLS) — e.g. an aws:SecureTransport deny-if-false condition on those bucket policies and HTTPS-only API access.
  • Govern FIS in production: define an authorization / change-management gate for production fault injection as part of the program cadence.
  • Limit exposure of resilience outputs: assessment findings, FIS logs, and GameDay reports can contain sensitive architectural detail (resource ARNs, IPs, failure modes) — make restricting their access to authorized personnel part of your program standards.
  • Further reading: point teams to the AWS Well-Architected Security Pillar, FIS Security Best Practices, and IAM Best Practices for implementing these standards.

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