Disaster Recovery Plan Example IT

Standard Operating Procedure: Information Technology Disaster Recovery Plan (IT-DRP)

1. Document Control Block

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2. Executive Summary & Purpose

This Standard Operating Procedure (SOP) dictates the mandatory protocols, execution sequence, and verification mechanisms for the IT Disaster Recovery Plan (IT-DRP) at Template Registry. The purpose of this document is to establish a deterministic, repeatable framework for restoring core production infrastructure, data persistence layers, and client-facing services in the event of a catastrophic failure, site outage, or coordinated cyber incident.

Adherence to this protocol is mandatory for all engineering, Site Reliability Engineering (SRE), and systems administration personnel to ensure compliance with our Service Level Agreements (SLAs) regarding Recovery Point Objectives (RPO < 15 minutes) and Recovery Time Objectives (RTO < 60 minutes).

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3. Scope & Prerequisites

3.1 Scope

This procedure applies to all cloud-native workloads, containerized clusters, relational databases, object storage buckets, and identity providers managed within the Template Registry production ecosystem across primary and secondary multi-region availability zones.

3.2 Prerequisites & Tooling

Execution of this SOP requires pre-provisioned access and functioning local installations of the following systems:

• Infrastructure as Code (IaC): Terraform >= 1.5.0
• Configuration Management & Secrets: HashiCorp Vault (Production Root Token / Break-Glass AppRole)
• Container Orchestration CLI: kubectl (configured with cluster admin contexts for primary and secondary regions)
• Cloud Provider CLI: AWS CLI v2 / GCP SDK (authenticated with high-privilege disaster recovery IAM roles)
• Hardware/Network Access: YubiKey 5 Series (FIDO2/WebAuthn configured for Emergency Break-Glass Identity Providers)

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4. Roles & Responsibilities

The governance of this SOP relies on a strict RACI matrix mapping operational duties during an activated disaster scenario.

• Responsible (R): Executes the specific operational checklist items.
• Accountable (A): Owns final operational success and authorizes plan execution.
• Consulted (C): Provides advisory input on cryptographic, security, or data integrity states.
• Informed (I): Receives status updates and executive communication drafts.

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5. Step-by-Step Procedure

Phase 1: Incident Declaration and Command Initialization

• 1.1 Verify telemetry anomalies via Datadog/PagerDuty dashboards indicating absolute partition, hardware failure, or complete data center outage.
• 1.2 Convene the Emergency Response Bridge via secure out-of-band communication channels (Signal/Matrix).
• 1.3 Chief Architect or Incident Commander formally declares a Severity 1 (Sev-1) Disaster Recovery state.
• 1.4 Broadcast automated status page update indicating degraded performance or regional failover mobilization to external stakeholders.

Phase 2: Infrastructure Provisioning in Secondary Region

• 2.1 Authenticate to the secondary disaster recovery cloud region via AWS CLI / GCP SDK using break-glass credentials.
• 2.2 Initialize the core Terraform workspace for the designated failover region (us-west-2 primary to us-east-1 secondary):

  terraform init -backend-config="region=us-east-1"
  

• 2.3 Execute dry-run validation of infrastructure plan to confirm zero resource drift:

  terraform plan -out=dr-failover.tfplan
  

• 2.4 Apply infrastructure state modifications to provision baseline compute, networking, and load balancing layers:

  terraform apply dr-failover.tfplan
  

Phase 3: Data Restoration and Storage Synchronization

• 3.1 Isolate current state of corrupted primary relational database clusters to prevent split-brain conditions.
• 3.2 Initiate point-in-time recovery (PITR) of PostgreSQL / Aurora production cluster snapshots to the secondary region endpoint:

  aws rds restore-db-instance-from-db-snapshot \
    --db-instance-identifier tr-prod-db-dr \
    --db-snapshot-identifier tr-prod-latest-snapshot \
    --db-subnet-group-name tr-dr-subnet-group
  

• 3.3 Verify replication lag metrics and ensure data consistency against the target RPO window (< 15 minutes).
• 3.4 Re-attach encrypted S3 object storage buckets utilizing cross-region replication (CRR) pointer verification scripts.

Phase 4: Workload Deployment and Traffic Routing

• 4.1 Update local kubectl context to target the secondary cluster control plane:

  aws eks update-kubeconfig --name tr-prod-cluster-dr --region us-east-1
  

• 4.2 Deploy stateless microservices, API gateways, and worker nodes via GitOps pipelines or direct manifest application:

  kubectl apply -k k8s/overlays/dr-production/
  

• 4.3 Execute internal smoke tests and synthetic transaction monitors against the staging endpoints within the secondary region:

  pytest tests/integration/test_smoke_prod.py --env=dr
  

• 4.4 Execute DNS failover protocol via Route53 / Cloudflare API to shift 100% of external user traffic to the secondary region load balancer:

  aws route53 change-resource-record-sets --hosted-zone-id Z123456 --change-batch file://dns-failover.json
  

Phase 5: Post-Recovery Validation and Sign-Off

• 5.1 Monitor ingress connection counts, error rates (HTTP 5xx), and database latency metrics for 30 consecutive minutes of stability.
• 5.2 Formally sign off on operational recovery metrics with the Incident Commander.
• 5.3 Schedule post-mortem engineering review within 48 hours of recovery stabilization.

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6. Quality Assurance & Pro-Tips

6.1 Best Practices

• Immutable Infrastructure: Never attempt to repair a corrupted primary server in-place during a Sev-1 event; always provision clean instances via Terraform.
• Secrets Management: Ensure HashiCorp Vault transit keys are replicated asynchronously to secondary regions prior to disaster invocation.

6.2 Common Pitfalls

• Split-Brain Scenarios: Failing to explicitly sever network connectivity to the legacy primary database prior to promoting the disaster recovery replica will cause catastrophic data corruption.
• IAM Propagation Delays: Account for up to a 5-minute propagation delay for newly applied AWS IAM policies and cross-account trust relationships during rapid deployments.

6.3 Metric Thresholds

• RPO (Recovery Point Objective): Maximum allowable data loss window = 15 minutes.
• RTO (Recovery Time Objective): Maximum allowable downtime from declaration to traffic restoration = 60 minutes.

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7. Frequently Asked Questions

Q1: What happens if the secondary cloud region is also experiencing partial degradation?

A: If the designated secondary disaster recovery region fails health checks during execution, the Incident Commander must escalate immediately to the tertiary cold-site protocol (Document ID: SOP-ENG-TR-DRP-045), which initiates bare-metal failover to our secondary cloud provider vendor (GCP).

Q2: How do we handle authentication tokens and user sessions during a database point-in-time recovery?

A: Because database snapshots reflect state up to the RPO timestamp (maximum 15 minutes prior to the event), active ephemeral user JWTs stored in Redis session caches will be invalidated. Users will be forced to re-authenticate via our OpenID Connect (OIDC) provider. This behavior is expected, documented, and deemed acceptable per our risk matrix.

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End of Standard Operating Procedure.