Disaster Recovery Plan Sample Document

Standard Operating Procedure: Enterprise Disaster Recovery Execution Protocol

1. Document Control Block

• Document ID: SOP-OPS-DR-042
• Effective Date: October 24, 2023
• Version: 4.2.0
• Review Cadence: Semi-Annual (Next Review: April 24, 2024)
• Classification: Internal / Restricted (Template Registry Engineering)
• Author: Julian Vance, Chief Architect

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2. Executive Summary & Purpose

This Standard Operating Procedure (SOP) defines the mandatory, deterministic protocol for restoring critical infrastructure, data pipelines, and core registry services at Template Registry following a catastrophic system failure, critical security breach, or infrastructure-level disaster.

The primary objective is the mitigation of prolonged downtime, enforcement of data integrity, and strict adherence to defined Recovery Point Objectives (RPO < 15 minutes) and Recovery Time Objectives (RTO < 60 minutes). This document serves as the single source of truth for the Incident Commander and Engineering Responders during activation of the Disaster Recovery (DR) plan.

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3. Scope & Prerequisites

Scope

This procedure applies to all production environments, primary and secondary cloud regions (AWS us-east-1 to us-west-2 failover paths), container orchestration layers (Kubernetes clusters), and primary relational/NoSQL datastores managed by Template Registry.

Prerequisites & Required Tools

• Administrative Access: Root-level IAM permissions, Multi-Factor Authentication (MFA) tokens, and hardware security keys (YubiKey) for AWS, Cloudflare, and HashiCorp Vault.
• CLI Utilities:
  • kubectl (v1.26+)
  • terraform (v1.5+)
  • aws-cli (v2.13+)
  • jq (v1.6+)
• Communication Channels: Designated PagerDuty high-severity bridge, internal Slack war-room (#incident-sev-0), and out-of-band PDS satellite phones.

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4. Roles & Responsibilities

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5. Step-by-Step Procedure

Phase 1: Triage, Verification, and Declaration

• 1.1 Confirm critical service outage via automated PagerDuty alert or manual escalation from Tier-3 On-Call.
• 1.2 Convene the Emergency Response Team on the designated bridge (#incident-sev-0).
• 1.3 Verify that the primary region is unrecoverable via out-of-band health probes:

  curl -I https://api.template-registry.internal/healthz --max-time 5
  

• 1.4 Formally declare a Severity 0 (Sev-0) Disaster State and assign the Incident Commander role.
• 1.5 Notify Executive Leadership via automated emergency broadcast.

Phase 2: DNS & Traffic Redirection (Edge Failover)

• 2.1 Authenticate to the Cloudflare API via CLI token:

  export CF_API_TOKEN=$(vault kv get -field=token secret/ops/cloudflare)
  

• 2.2 Update global DNS routing records to point away from the primary region (us-east-1) load balancer to the secondary disaster recovery region (us-west-2):

  terraform -chdir=infra/dns apply -var="failover_active=true"
  

• 2.3 Verify global DNS propagation across multiple global resolvers:

  dig +short api.template-registry.com @8.8.8.8
  

Phase 3: Infrastructure Provisioning & Secret Unsealing

• 3.1 Initialize Terraform workspace in the secondary DR region:

  terraform -chdir=infra/regions/us-west-2 init
  terraform -chdir=infra/regions/us-west-2 apply --auto-approve
  

• 3.2 Verify Kubernetes control plane health in the secondary region:

  kubectl config use-context dr-us-west-2-prod
  kubectl get nodes --watch
  

• 3.3 Unseal HashiCorp Vault instances using distributed Shamir's Secret Sharing keys held by designated executives:

  vault operator unseal <KEY_SHARE_1>
  vault operator unseal <KEY_SHARE_2>
  vault operator unseal <KEY_SHARE_3>
  

Phase 4: Database Point-in-Time Recovery (PITR)

• 4.1 Trigger AWS RDS point-in-time recovery to the exact timestamp immediately preceding the disaster event minus 120 seconds:

  aws rds restore-db-instance-to-point-in-time \
    --source-db-instance-identifier template-registry-prod-primary \
    --target-db-instance-identifier template-registry-prod-dr \
    --restore-time 2023-10-24T14:32:00Z \
    --db-subnet-group-name prod-dr-subnet
  

• 4.2 Monitor restoration progress until status reads available:

  aws rds describe-db-instances --db-instance-identifier template-registry-prod-dr --query "DBInstances[0].DBInstanceStatus"
  

• 4.3 Execute database migration validation scripts to ensure schema integrity and consistency.

Phase 5: Workload Deployment & Verification

• 5.1 Deploy core microservices via ArgoCD GitOps pipeline targeting the secondary cluster:

  argocd app sync template-registry-production --prune
  

• 5.2 Validate pod health and ensure zero CrashLoopBackOff states:

  kubectl get pods -n production --field-selector=status.phase!=Running
  

• 5.3 Execute synthetic end-to-end integration and smoke tests against the DR endpoint:

  npm run test:smoke -- --env=dr
  

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6. Quality Assurance & Pro-Tips

Best Practices

• Immutable Infrastructure: Do not attempt to repair broken instances in the primary region during an active DR event; always provision fresh infrastructure in the target recovery region.
• Idempotency: Ensure all Terraform modules and Kubernetes manifests are strictly idempotent to prevent partial state corruption during high-stress recovery sequences.

Common Pitfalls

• Forgetting Vault Unsealing: Failing to unseal secrets management systems prior to deploying dependent microservices will trigger cascading pod crashes.
• TTL Caching: Neglecting to lower DNS Time-To-Live (TTL) values during steady-state operations drastically increases global propagation delays during Phase 2.

Metric Thresholds

• Recovery Point Objective (RPO): Data loss must not exceed 15 minutes of transactional history ($\Delta t \le 15\text{m}$).
• Recovery Time Objective (RTO): Total elapsed time from Phase 1 declaration to Phase 5 successful smoke test must be under 60 minutes.

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7. Frequently Asked Questions

• Q: What happens if the point-in-time recovery (PITR) fails due to a corrupt snapshot?

  • A: Immediately fall back to the most recent known-good daily snapshot stored in the cold-storage S3 vault (s3://tr-cold-backups-archive/). Notify the Chief Architect immediately, as this will increase the RPO window beyond the standard 15-minute SLA.

• Q: Can we run an active-active setup instead of active-passive failover to eliminate RTO?

  • A: Active-active multi-region replication introduces unacceptable distributed consensus latency and split-brain risks for our relational template state machines. Active-passive with automated PITR is our architectural standard for data consistency.