🆘 Hack23 AB — Disaster Recovery Plan

🔧 AWS-Native Technical Resilience Through Evidence-Based Recovery
🎯 Systematic Disaster Recovery Leveraging AWS Resilience Hub, Backup, and Fault Injection Service

📋 Document Owner: CEO | 📄 Version: 2.3 | 📅 Last Updated: 2026-01-25 (UTC)
🔄 Review Cycle: Semi-Annual | ⏰ Next Review: 2026-07-25

🎯 Purpose Statement

🏢 Hack23 AB's disaster recovery capabilities demonstrate how 🔧 AWS-native technical resilience directly enables both operational continuity and competitive advantage. Our 📊 systematic disaster recovery implementation leverages AWS Resilience Hub, AWS Backup, and Fault Injection Service to provide auditable proof of recovery capabilities while serving as 👥 client demonstration of our cybersecurity consulting technical expertise.

As a cybersecurity consulting company, our technical disaster recovery implementation becomes a real-world showcase of AWS-native resilient architecture, automated chaos engineering, and evidence-based recovery validation. Our ability to demonstrate measurable recovery capabilities through continuous chaos experiments provides competitive differentiation while ensuring operational resilience.

Our commitment to transparency means our disaster recovery metrics and chaos engineering results become reference implementations, showing how proper AWS tooling enables rapid recovery with auditable evidence per our 💾 Backup Recovery Policy.

— 👨‍💼 James Pether Sörling, CEO/Founder

🏗️ AWS-Native Technical Recovery Architecture

🎯 AWS Resilience Hub Integration

Our disaster recovery strategy is built on AWS Resilience Hub policies that enforce measurable resilience requirements:

%%{
  init: {
    'theme': 'base',
    'themeVariables': {
      'primaryColor': '#F57C00',
      'primaryTextColor': '#ffffff',
      'lineColor': '#FF9800',
      'secondaryColor': '#4CAF50',
      'tertiaryColor': '#1565C0'
    }
  }
}%%
graph TD
    subgraph RESILIENCE["🔰 AWS Resilience Hub Policy Engine"]
        POLICY[Resilience Policies<br/>📊 RTO/RPO Requirements]
        ASSESS[Application Assessment<br/>🔍 Resilience Analysis]
        GATE[Deployment Gating<br/>🚦 Compliance Validation]
        EVIDENCE[Evidence Collection<br/>📋 Audit Documentation]
    end
    
    subgraph CHAOS["🧪 AWS Fault Injection Service"]
        EXPERIMENT[Experiment Templates<br/>⚡ Chaos Scenarios]
        EXECUTE[Execution Engine<br/>🎯 Controlled Failures]
        MONITOR[Real-time Monitoring<br/>📈 Impact Assessment]
        VALIDATE[Recovery Validation<br/>✅ RTO/RPO Verification]
    end
    
    subgraph BACKUP["💾 AWS Backup Orchestration"]
        PLAN[Central Backup Plans<br/>🗓️ Schedule Management]
        VAULT[Immutable Vaults<br/>🔒 Cross-region Storage]
        RESTORE[Point-in-Time Recovery<br/>🔄 Automated Restoration]
        AUDIT[Backup Audit Manager<br/>📊 Compliance Reporting]
    end
    
    subgraph APPLICATIONS["🏗️ Application Portfolio"]
        CRITICAL[Critical Systems<br/>🔴 < 5min RTO]
        HIGH[High Priority<br/>🟠 < 1hr RTO]
        STANDARD[Standard Systems<br/>🟡 < 24hr RTO]
    end
    
    POLICY --> ASSESS
    ASSESS --> GATE
    GATE --> EVIDENCE
    
    EXPERIMENT --> EXECUTE
    EXECUTE --> MONITOR
    MONITOR --> VALIDATE
    
    PLAN --> VAULT
    VAULT --> RESTORE
    RESTORE --> AUDIT
    
    EVIDENCE --> CRITICAL
    VALIDATE --> HIGH
    AUDIT --> STANDARD
    
    style RESILIENCE fill:#F57C00,color:#fff
    style CHAOS fill:#7B1FA2,color:#fff
    style BACKUP fill:#1565C0,color:#fff
    style APPLICATIONS fill:#4caf50,color:#fff

📊 AWS Resilience Hub Policy Framework

Policy Tiers Mapped to Classification Framework:

Resilience Tier	Application Coverage	Gating Requirement	Evidence Retention
🔴 Mission Critical	API Gateway, Lambda, DynamoDB	100% compliance required	3 years
🟠 High Priority	RDS, S3, CloudFront	95% compliance required	2 years
🟡 Standard	DNS, monitoring, alarms	90% compliance required	1 year

Deployment Gating Process:

Production releases require Resilience Hub assessment "GREEN" status
Failed assessments automatically block deployments
Assessment reports retained as audit evidence
Remediation tracking integrated with Change Management

🧪 Chaos Engineering with AWS Fault Injection Service

🎯 Systematic Chaos Engineering Program

FIS Experiment Categories with SSM Automation:

🔴 Critical System Experiments (Monthly Execution)

Experiment Template	Target Service	Failure Scenario	SSM Document	Success Criteria	Evidence Artifact
Regional Impairment	Route 53, CloudFront	DNS resolution failure	`AWSResilienceHub-ChangeDNSWeightedRoutingPolicy_2020-07-01`	Auto-failover to backup region	Route 53 health check logs
API Unavailability	Lambda, API Gateway	100% error rate injection	Custom SSM + IAM policy injection	Circuit breaker activation	CloudWatch metrics + FIS logs
Database Disaster	RDS, DynamoDB	Primary instance termination	`AWSConfigRemediation-DeleteDynamoDbTable` + restore	Failover to read replica	RDS event logs + restore evidence
Network Partition	VPC, subnets	Network connectivity loss	`AWSResilienceHub-SimulateNetworkConnectivitySOP_2020-04-01`	Cross-AZ redundancy	VPC Flow Logs

🟠 High Priority Experiments (Quarterly Execution)

Experiment Template	Target Service	Failure Scenario	SSM Document	Success Criteria	Evidence Artifact
Storage Outage	S3, EBS	Volume unavailability	`AWSResilienceHub-RestoreS3BucketFromBackupSOP_2020-04-01`	Backup volume mount	S3 access logs
Compute Failure	EC2, Lambda	Instance termination	`AWSResilienceHub-ChangeLambdaMemorySizeSOP_2020-10-26`	Auto Scaling replacement	Auto Scaling events
CDN Degradation	CloudFront	Cache invalidation	Custom CloudFront invalidation SSM	Origin server direct	CloudFront logs
Monitoring Blind	CloudWatch	Metric collection failure	`AWSResilienceHub-CreateCloudWatchAlarmSOP_2020-04-01`	Secondary alerting	SNS delivery logs

🧪 FIS Experiment Execution Framework with SSM Integration

CloudFormation Template Structure:

# FIS Experiment with SSM Automation Integration
FisDenyApigatewayLambdaTemplate:
  Type: AWS::FIS::ExperimentTemplate
  Properties: 
    Actions:
      InjectAccessDenied:  
        ActionId: aws:ssm:start-automation-execution
        Description: Action to deny api gateway lambda access
        Parameters:
          documentArn: !Sub 'arn:aws:ssm:${AWS::Region}:${AWS::AccountId}:document/FISAPI-IamAttachDetach'
          documentParameters: !Sub |
            {
              "TargetResourceDenyPolicyArn":"${AwsFisApiPolicyDenyApiRoleLambda}", 
              "Duration": "${FaultInjectionExperimentDuration}", 
              "TargetApplicationRoleName":"${ApiRole}", 
              "AutomationAssumeRole":"arn:aws:iam::${AWS::AccountId}:role/FISAPI-SSM-Automation-Role"
            }
          maxDuration: "PT8M"
    Description: Deny Access to lambda on API Gateway via SSM automation
    RoleArn: !Sub 'arn:aws:iam::${AWS::AccountId}:role/FISAPI-FIS-Injection-ExperimentRole'
    StopConditions:
      - Source: none
    Tags: 
      Name: DENY-API-LAMBDA
    Targets: {}

SSM Automation Document for IAM Policy Injection:

SsmAutomationIamAttachDetachDocument:
  Type: AWS::SSM::Document
  Properties:
    Name: FISAPI-IamAttachDetach
    DocumentType: Automation
    Content:
      description: "SSM Document for Injecting Access Denied Faults by attaching Deny Policies"
      schemaVersion: '0.3'
      assumeRole: '{{ AutomationAssumeRole }}'
      parameters:
        TargetResourceDenyPolicyArn:
          type: String
          description: ARN of Deny IAM Policy for AWS Resource
        Duration:
          type: String
          description: The Duration in ISO-8601 format of the Injection
        TargetApplicationRoleName:
          type: String
          description: The name of the Target Role
        AutomationAssumeRole:
          type: String
          description: The ARN of the SSM Automation Role
      mainSteps:
        - name: AttachDenyPolicy
          action: 'aws:executeAwsApi'
          inputs:
            Service: iam
            Api: AttachRolePolicy
            RoleName: '{{TargetApplicationRoleName}}'
            PolicyArn: '{{TargetResourceDenyPolicyArn}}'
          description: Attach Deny Policy for Experiment Target
          timeoutSeconds: 10
        - name: ExperimentDurationSleep
          action: 'aws:sleep'
          inputs:
            Duration: '{{Duration}}'
          description: Maintain fault injection for specified duration
          onFailure: 'step:RollbackDetachPolicy'
          onCancel: 'step:RollbackDetachPolicy'
          nextStep: RollbackDetachPolicy
        - name: RollbackDetachPolicy
          action: 'aws:executeAwsApi'
          inputs:
            Service: iam
            Api: DetachRolePolicy
            RoleName: '{{TargetApplicationRoleName}}'
            PolicyArn: '{{TargetResourceDenyPolicyArn}}'
          description: End Experiment by Detaching Deny Policy
          timeoutSeconds: 10
          isEnd: true

📊 Chaos Engineering KPIs and Success Metrics

FIS + SSM Integration Success Tracking:

Metric Category	KPI	Target	SSM Document	Evidence Collection
Recovery Time Achievement	RTO Compliance Rate	>95% within target	Health check validation SSM	FIS experiment logs + CloudWatch
Data Loss Prevention	RPO Compliance Rate	100% within target	PITR/Backup restore validation	DynamoDB backup completion logs
Experiment Coverage	System Testing Rate	100% quarterly	FIS template execution tracking	SSM execution history
Evidence Completeness	Documentation Rate	100% retention	Automated evidence collection SSM	S3 immutable storage validation
Failure Detection	MTTR (Mean Time to Recognize)	<1 minute	CloudWatch alarm integration	SNS notification delivery logs

💾 AWS Backup Orchestration and Evidence

🔄 Central Backup Plan Architecture with SSM Integration

AWS Systems Manager Integration for Backup Operations:

# SSM Document for DynamoDB Point-in-Time Recovery
FisRecoverDynamodbTablePITRTemplate:
  Type: AWS::FIS::ExperimentTemplate
  Properties: 
    Actions:
      RecoverDynamodbTablePITR:  
        ActionId: aws:ssm:start-automation-execution
        Description: Action to recover DynamoDB table from PITR
        Parameters:
          documentArn: !Sub 'arn:aws:ssm:${AWS::Region}::document/AWSResilienceHub-RestoreDynamoDBTableToPointInTimeSOP_2020-04-01'
          documentParameters: !Sub |
            {
              "DynamoDBTableSourceName":"global-table",
              "DynamoDBTableTargetName":"global-table-pitr",
              "RecoveryPointDateTime":"${RecoveryPointDateTime}",
              "CopyAllProperties": true,
              "AutomationAssumeRole":"arn:aws:iam::${AWS::AccountId}:role/AWSResilienceHub-RestoreDDBTblFromPointInTimeSOPAssumeRole"
            }
          maxDuration: "PT30M"
    Description: Recover DynamoDB from PITR using SSM automation
    RoleArn: !Sub 'arn:aws:iam::${AWS::AccountId}:role/FISAPI-FIS-Injection-ExperimentRole'
    StopConditions:
      - Source: none
    Tags: 
      Name: RECOVER_DYNAMODB_TABLE_PITR

# SSM Document for Backup Recovery
FisRecoverDynamodbTableBackupTemplate:
  Type: AWS::FIS::ExperimentTemplate
  Properties: 
    Actions:
      RecoverDynamodbBackup:  
        ActionId: aws:ssm:start-automation-execution
        Description: Action to recover DynamoDB table from backup
        Parameters:
          documentArn: !Sub 'arn:aws:ssm:${AWS::Region}::document/AWSResilienceHub-RestoreDynamoDBTableFromBackupSOP_2020-04-01'
          documentParameters: !Sub |
            {
              "DynamoDBTableSourceName":"global-table",
              "DynamoDBSourceTableBackupArn":"${DynamoDBSourceTableBackupArn}",
              "DynamoDBTableTargetName":"global-table-backup",
              "CopyAllProperties":true,
              "AutomationAssumeRole":"arn:aws:iam::${AWS::AccountId}:role/AWSResilienceHub-RestoreDDBTblFromPointInTimeSOPAssumeRole"
            }
          maxDuration: "PT8M"
    Description: Recover DynamoDB from backup using SSM automation
    RoleArn: !Sub 'arn:aws:iam::${AWS::AccountId}:role/FISAPI-FIS-Injection-ExperimentRole'

💾 Point-in-Time Recovery (PITR) Validation with SSM

SSM-Based Restore Testing Framework:

Recovery Type	SSM Document	Parameters	Evidence Collection	Success Criteria
DynamoDB PITR	`AWSResilienceHub-RestoreDynamoDBTableToPointInTimeSOP_2020-04-01`	Table name, recovery point, target	SSM execution logs + table validation	100% data integrity
RDS PITR	`AWSResilienceHub-RestoreRDSInstanceFromPointInTimeSOP_2020-04-01`	Instance ID, recovery time	RDS event logs + connection validation	Database connectivity restored
S3 Versioning	`AWSResilienceHub-RestoreS3BucketFromVersioningSOP_2020-04-01`	Bucket name, version ID	S3 access logs + object validation	Object integrity verified

Automated Evidence Collection via CloudFormation:

# Health Check for API Validation
HealthCheckApi: 
  Type: 'AWS::Route53::HealthCheck'
  Properties: 
    HealthCheckConfig: 
      Port: 443
      Type: HTTPS
      EnableSNI: True
      ResourcePath: "v1/healthcheck"
      FullyQualifiedDomainName: "api.hack23.com"
      RequestInterval: 10
      FailureThreshold: 2

# Route53 Weighted Routing for Multi-Region
DeliveryApiRoute53RecordSetGroup:
  Type: AWS::Route53::RecordSetGroup
  Properties:
    HostedZoneName: "hack23.com."
    RecordSets:
      - Name: "api.hack23.com."
        Type: A
        SetIdentifier: apizone1a
        HealthCheckId: !Ref HealthCheckId
        Weight: '50'
        AliasTarget:
          HostedZoneId: !Ref RestApiDomainNameRegionalHostedZoneId
          DNSName: !Ref RestApiDomainNameRegionalDomainName

🔧 Recovery Procedures with SSM Automation

🔴 Critical System Recovery (AWS-Native SSM Automation)

Multi-Step SSM Automation Document for Critical Recovery:

# SSM Document for Lambda Function Recovery
AWSResilienceHubSwitchLambdaVersionInAliasSOPAssumeRole:
  Type: AWS::IAM::Role
  Properties:
    AssumeRolePolicyDocument:
      Version: '2012-10-17'
      Statement:
        - Effect: Allow
          Principal:
            Service: ssm.amazonaws.com
          Action: sts:AssumeRole
    Policies:
      - PolicyName: LambdaVersionManagement
        PolicyDocument:
          Version: '2012-10-17'
          Statement:
            - Effect: Allow
              Resource: '*'
              Action:
                - lambda:GetFunction
                - lambda:UpdateFunctionConfiguration
                - lambda:UpdateAlias
                - lambda:PutProvisionedConcurrencyConfig
                - lambda:GetProvisionedConcurrencyConfig

# SSM Document for Database Recovery
AWSResilienceHubRestoreDDBTblFromPointInTimeSOPAssumeRole:
  Type: AWS::IAM::Role
  Properties:
    AssumeRolePolicyDocument:
      Version: '2012-10-17'
      Statement:
        - Effect: Allow
          Principal:
            Service: ssm.amazonaws.com
          Action: sts:AssumeRole
    Policies:
      - PolicyName: DynamoDBRecoveryManagement
        PolicyDocument:
          Version: '2012-10-17'
          Statement:
            - Effect: Allow
              Resource: '*'
              Action:
                - dynamodb:RestoreTableToPointInTime
                - dynamodb:DescribeTable
                - dynamodb:CreateTable
                - dynamodb:UpdateTable
                - dynamodb:DescribeContinuousBackups
                - dynamodb:UpdateContinuousBackups

🟠 High Priority System Recovery

Semi-Automated Recovery with SSM Integration:

Recovery Component	SSM Document	Purpose	Integration Point
Lambda Memory Optimization	`AWSResilienceHub-ChangeLambdaMemorySizeSOP_2020-10-26`	Performance recovery	Backup Recovery Policy
Lambda Concurrency Management	`AWSResilienceHub-ChangeLambdaConcurrencyLimitSOP_2020-10-26`	Scale management	Process automation
Lambda Execution Time Tuning	`AWSResilienceHub-ChangeLambdaExecutionTimeLimitSOP_2020-10-26`	Timeout optimization	Security Metrics
Provisioned Concurrency	`AWSResilienceHub-ChangeLambdaProvisionedConcurrencySOP_2020-10-26`	Cold start elimination	Performance baseline

📊 AWS Resilience Hub Policy Framework

🎯 Mission Critical Policy Implementation

CloudFormation Integration with Resilience Hub:

# Resilience Hub Application Definition
Application:
  Type: AWS::ResilienceHub::App
  Properties:
    AppAssessmentSchedule: Daily
    AppTemplateBody: |
      {
        "resources": [
          {
            "logicalResourceId": {
              "identifier": "Lambda",
              "logicalStackName": "StackIreland"
            },
            "type": "AWS::Lambda::Function",
            "name": "healthcheckfunction"
          },
          {
            "logicalResourceId": {
              "identifier": "GlobalTable",
              "logicalStackName": "StackIreland"
            },
            "type": "AWS::DynamoDB::GlobalTable",
            "name": "dynamodbglobaltable"
          }
        ],
        "appComponents": [
          {
            "id": "ComputeAppComponent-LambdaFunction",
            "name": "LambdaFunction-Healthcheck",
            "type": "AWS::ResilienceHub::ComputeAppComponent",
            "resourceNames": ["healthcheckfunction"]
          },
          {
            "id": "DatabaseAppComponent-DynamoDBTable",
            "name": "DatabaseAppComponent-DynamoDBTable",
            "type": "AWS::ResilienceHub::DatabaseAppComponent",
            "resourceNames": ["dynamodbglobaltable"]
          }
        ]
      }
    Description: Hack23 Multi-Region Lambda Architecture
    Name: hack23-lambda-vpc
    ResiliencyPolicyArn: !Ref AppPolicy
    ResourceMappings:
      - LogicalStackName: 'StackIreland'
        MappingType: CfnStack
        PhysicalResourceId:
          Identifier: !Ref 'StackIreland'
          Type: Arn
          AwsRegion: eu-west-1
          AwsAccountId: !Ref "AWS::AccountId"
      - LogicalStackName: 'StackFrankfurt'
        MappingType: CfnStack
        PhysicalResourceId:
          Identifier: !Ref 'StackFrankfurt'
          Type: Arn
          AwsRegion: eu-central-1
          AwsAccountId: !Ref "AWS::AccountId"

# Mission Critical Resilience Policy
AppPolicy:
  Type: AWS::ResilienceHub::ResiliencyPolicy
  Properties:
    DataLocationConstraint: AnyLocation
    Policy:
      Software:
        RpoInSecs: 300
        RtoInSecs: 5400
      Hardware:
        RpoInSecs: 1
        RtoInSecs: 1
      AZ:
        RpoInSecs: 1
        RtoInSecs: 1
      Region:
        RpoInSecs: 5
        RtoInSecs: 3600
    PolicyDescription: "Mission Critical Policy for Hack23"
    PolicyName: Hack23MissionCritical
    Tier: MissionCritical

🧪 Testing and Validation Integration

📅 SSM-Driven Testing Schedule

Integration with Business Continuity Plan and Backup Recovery Policy:

Test Type	Frequency	SSM Document	Evidence Collection	Success Criteria
🧪 FIS Chaos Experiments	Monthly	Custom FIS + SSM integration	FIS execution logs + SSM outputs	All RTO/RPO targets met
🔰 Resilience Hub Assessment	Per deployment	Automatic via CloudFormation	Assessment reports in S3	100% policy compliance
💾 Backup Validation	Monthly	AWS Backup native + SSM validation	Backup completion logs + restore tests	100% restore success
🔄 Cross-Region Failover	Quarterly	Route 53 + health check SSM	CloudTrail + Route 53 logs	<5 min failover time
📊 End-to-End Recovery	Semi-annually	Complete SSM automation orchestration	Full execution evidence	Complete stack recovery

🎯 Evidence-Based Success Validation

Automated Evidence Collection Pipeline with CloudFormation:

# Evidence Collection Role
EvidenceCollectionRole:
  Type: AWS::IAM::Role
  Properties:
    AssumeRolePolicyDocument:
      Version: '2012-10-17'
      Statement:
        - Effect: Allow
          Principal:
            Service: lambda.amazonaws.com
          Action: sts:AssumeRole
    Policies:
      - PolicyName: EvidenceCollection
        PolicyDocument:
          Version: '2012-10-17'
          Statement:
            - Effect: Allow
              Resource: '*'
              Action:
                - fis:ListExperiments
                - fis:GetExperiment
                - ssm:ListAutomationExecutions
                - ssm:GetAutomationExecution
                - backup:ListRecoveryJobs
                - backup:DescribeRecoveryJob
                - s3:PutObject
                - s3:PutObjectAcl

# Evidence Collection Lambda
EvidenceCollectionFunction:
  Type: AWS::Lambda::Function
  Properties:
    FunctionName: DisasterRecoveryEvidenceCollector
    Runtime: python3.9
    Handler: index.lambda_handler
    Role: !GetAtt EvidenceCollectionRole.Arn
    Code:
      ZipFile: |
        import json
        import boto3
        from datetime import datetime, timedelta
        
        def lambda_handler(event, context):
            fis = boto3.client('fis')
            ssm = boto3.client('ssm')
            backup = boto3.client('backup')
            s3 = boto3.client('s3')
            
            evidence = {
                'collection_date': datetime.utcnow().isoformat(),
                'fis_experiments': collect_fis_experiments(fis),
                'ssm_executions': collect_ssm_executions(ssm),
                'backup_jobs': collect_backup_jobs(backup),
                'compliance_status': validate_compliance()
            }
            
            # Store evidence in immutable storage
            s3.put_object(
                Bucket='hack23-audit-evidence',
                Key=f'dr-evidence/{datetime.now().strftime("%Y-%m")}.json',
                Body=json.dumps(evidence, indent=2),
                StorageClass='GLACIER_IR'
            )
            
            return {'statusCode': 200, 'body': evidence}
        
        def collect_fis_experiments(fis_client):
            end_time = datetime.utcnow()
            start_time = end_time - timedelta(days=30)
            
            experiments = fis_client.list_experiments()['experiments']
            return [exp for exp in experiments 
                    if exp['creationTime'] >= start_time]
        
        def collect_ssm_executions(ssm_client):
            executions = ssm_client.list_automation_executions(
                Filters=[
                    {
                        'Key': 'ExecutionStartTime',
                        'Values': [(datetime.utcnow() - timedelta(days=30)).isoformat()]
                    }
                ]
            )['AutomationExecutions']
            return executions
            
        def collect_backup_jobs(backup_client):
            jobs = backup_client.list_recovery_jobs()['RecoveryJobs']
            return [job for job in jobs 
                    if job['CreationTime'] >= (datetime.utcnow() - timedelta(days=30))]
        
        def validate_compliance():
            return {
                'rto_compliance': True,  # Implement actual validation
                'rpo_compliance': True,
                'backup_compliance': True,
                'chaos_compliance': True,
                'timestamp': datetime.utcnow().isoformat()
            }

📚 Related Documents

🔐 Strategic & Governance

🎯 Information Security Strategy — AI-first operations, Pentagon framework, and strategic disaster recovery direction
🔐 Information Security Policy — Overall security governance and AI-First Operations Governance
🤖 AI Policy — AI agent governance for recovery automation and chaos engineering
🏷️ Classification Framework — Business impact definitions and RTO/RPO classifications

🔄 Business Continuity Framework

🔄 Business Continuity Plan — Business resilience and operational continuity strategy
💾 Backup Recovery Policy — Data protection and backup validation procedures
🚨 Incident Response Plan — Security incident management and crisis response

⚙️ Operational Integration

💻 Asset Register — Critical asset inventory and recovery priorities
📉 Risk Register — Business continuity risks and treatment strategies
🌐 Network Security Policy — Network recovery and security restoration
📊 Security Metrics — Recovery performance measurement and RTO/RPO tracking

📋 Document Control:
✅ Approved by: James Pether Sörling, CEO
📤 Distribution: Public
🏷️ Classification:
📅 Effective Date: 2026-01-25
⏰ Next Review: 2026-07-25
🎯 Framework Compliance:

Provide feedback

Saved searches

Use saved searches to filter your results more quickly

🆘 Hack23 AB — Disaster Recovery Plan

🎯 Purpose Statement

🏗️ AWS-Native Technical Recovery Architecture

🎯 AWS Resilience Hub Integration

📊 AWS Resilience Hub Policy Framework

🧪 Chaos Engineering with AWS Fault Injection Service

🎯 Systematic Chaos Engineering Program

🔴 Critical System Experiments (Monthly Execution)

🟠 High Priority Experiments (Quarterly Execution)

🧪 FIS Experiment Execution Framework with SSM Integration

📊 Chaos Engineering KPIs and Success Metrics

💾 AWS Backup Orchestration and Evidence

🔄 Central Backup Plan Architecture with SSM Integration

💾 Point-in-Time Recovery (PITR) Validation with SSM

🔧 Recovery Procedures with SSM Automation

🔴 Critical System Recovery (AWS-Native SSM Automation)

🟠 High Priority System Recovery

📊 AWS Resilience Hub Policy Framework

🎯 Mission Critical Policy Implementation

🧪 Testing and Validation Integration

📅 SSM-Driven Testing Schedule

🎯 Evidence-Based Success Validation

📚 Related Documents

🔐 Strategic & Governance

🔄 Business Continuity Framework

⚙️ Operational Integration

FilesExpand file tree

Disaster_Recovery_Plan.md

Latest commit

History

Disaster_Recovery_Plan.md

File metadata and controls

🆘 Hack23 AB — Disaster Recovery Plan

🎯 Purpose Statement

🏗️ AWS-Native Technical Recovery Architecture

🎯 AWS Resilience Hub Integration

📊 AWS Resilience Hub Policy Framework

🧪 Chaos Engineering with AWS Fault Injection Service

🎯 Systematic Chaos Engineering Program

🔴 Critical System Experiments (Monthly Execution)

🟠 High Priority Experiments (Quarterly Execution)

🧪 FIS Experiment Execution Framework with SSM Integration

📊 Chaos Engineering KPIs and Success Metrics

💾 AWS Backup Orchestration and Evidence

🔄 Central Backup Plan Architecture with SSM Integration

💾 Point-in-Time Recovery (PITR) Validation with SSM

🔧 Recovery Procedures with SSM Automation

🔴 Critical System Recovery (AWS-Native SSM Automation)

🟠 High Priority System Recovery

📊 AWS Resilience Hub Policy Framework

🎯 Mission Critical Policy Implementation

🧪 Testing and Validation Integration

📅 SSM-Driven Testing Schedule

🎯 Evidence-Based Success Validation

📚 Related Documents

🔐 Strategic & Governance

🔄 Business Continuity Framework

⚙️ Operational Integration