What is the ISO 22301 for Resilient Cloud Infrastructure course about?
Senior DevOps or SRE Engineer in cloud-native environments, responsible for system resilience, audit readiness, and incident response under compliance or regulatory scrutiny.
Who is the ISO 22301 for Resilient Cloud Infrastructure course for?
Senior DevOps or SRE Engineer in cloud-native environments, responsible for system resilience, audit readiness, and incident response under compliance or regulatory scrutiny.
Who is the ISO 22301 for Resilient Cloud Infrastructure course not for?
Junior engineers learning scripting, teams without audit or compliance exposure, or those managing static on-prem systems without cloud-scale failure modes.
What do you take away from the ISO 22301 for Resilient Cloud Infrastructure course?
Produce ISO 22301-compliant audit evidence packets in under 10 hours Anticipate continuity requirements in CI/CD pipelines before integration cycles Design failover protocols with RTO/RPO thresholds built into configuration as code Respond to M&A infrastructure due diligence with documented resilience claims Eliminate rework during SOC 2 or regulatory reviews due to continuity gaps.
How does this map to your situation?
Responding to surprise regulator visit Preparing for M&A due diligence package Reducing rework in SOC 2 evidence collection Avoiding last-minute fixes in continuity review.
What's included with your purchase?
12 modules with 12 chapters each (144 chapters) Downloadable templates and worked examples for every module Hand-built implementation playbook delivered alongside course access 30-day money-back guarantee.
What does the ISO 22301 for Resilient Cloud Infrastructure cover on delivery and format?
Format: Text-based modules and chapters in the Art of Service learning environment, plus downloadable templates and worked examples for every chapter, plus the hand-built implementation playbook delivered alongside course access. Time investment: 90 minutes per week for 12 weeks, or complete at your own pace within 6 months.
How does this compare to the alternatives?
Unlike generic ISO 22301 training, this course is built for DevOps engineers in cloud-native environments, with concrete examples from AI infrastructure, real audit evidence templates, and patterns from recent M&A integrations.
Closely related courses: Leading Through Digital Resilience in Cloud Infrastructure, Infrastructure Virtualisation for Resilient Cloud, Known as the go-to infrastructure architect for hybrid, DORA.
More answers: what you get with every course, refund policy, all help answers.
A tailored course, built for your situation
Mastering ISO 22301 for Resilient Cloud Infrastructure Teams
A proven system to build unbreakable service continuity into DevOps workflows, even under AI acceleration.
Who this is for
Senior DevOps or SRE Engineer in cloud-native environments, responsible for system resilience, audit readiness, and incident response under compliance or regulatory scrutiny.
Who this is not for
Junior engineers learning scripting, teams without audit or compliance exposure, or those managing static on-prem systems without cloud-scale failure modes.
What you walk away with
- Produce ISO 22301-compliant audit evidence packets in under 10 hours
- Anticipate continuity requirements in CI/CD pipelines before integration cycles
- Design failover protocols with RTO/RPO thresholds built into configuration as code
- Respond to M&A infrastructure due diligence with documented resilience claims
- Eliminate rework during SOC 2 or regulatory reviews due to continuity gaps
The 12 modules (with all 144 chapters)
- How ISO 22301 applies to microservices and serverless deployments
- Mapping business criticality to service tiers in hybrid cloud
- Defining RTO and RPO for real-time inference pipelines
- The role of observability in continuity planning
- Integrating incident response into continuity frameworks
- Common misconceptions about cloud provider SLAs
- Regulatory treatment of AI model uptime requirements
- Documentation standards for continuity evidence
- Vendor continuity obligations in cloud contracts
- Legacy system integration under ISO 22301
- Cross-team alignment on continuity ownership
- Establishing continuity baselines before AI integration
- Tracing data flow from ingestion to inference endpoint
- Classifying services by user impact and regulatory exposure
- Mapping dependencies in Kubernetes environments
- Identifying single points of failure in AI training loops
- Assessing third-party model API dependencies
- Evaluating shadow AI systems in developer workflows
- Documenting critical function ownership
- Setting thresholds for continuity classification
- Integrating business impact analysis into sprint planning
- Prioritizing systems for continuity testing
- Using dependency graphs in continuity design
- Validating criticality assessments with product teams
- Threat modeling for distributed denial-of-service attacks
- Assessing configuration drift as a continuity risk
- Evaluating zone failure risks in multi-region deployments
- Ingesting observability data into risk matrices
- Quantifying impact of model retraining delays
- Third-party provider failure scenarios
- Data corruption risks in vector databases
- Automated risk scoring using infrastructure logs
- Integrating security findings into continuity risk
- Setting risk thresholds for continuity planning
- Documenting risk assessment methodology
- Reviewing risk assessments with compliance teams
- Measuring financial impact of inference pipeline downtime
- Calculating user churn from degraded AI recommendations
- Estimating reputational damage from model drift
- Linking SLA breaches to contractual penalties
- Documenting BIA methodology for audit
- Using A/B test data in impact modeling
- Incorporating legal hold requirements into BIA
- Setting recovery time objectives for model versions
- Validating BIA with product leadership
- Updating BIA with new feature launches
- Integrating BIA into incident post-mortems
- Automating BIA data collection from monitoring tools
- Designing failover for real-time recommendation engines
- Maintaining data integrity during model rollback
- Prioritizing service restoration order
- Contractual obligations during AI downtime
- Using canary deployments in continuity testing
- Managing vendor lock-in in continuity planning
- Documenting decision-making authority during outages
- Integrating human-in-the-loop requirements
- Establishing communication protocols with legal teams
- Validating strategy with tabletop exercises
- Aligning with incident response playbooks
- Updating strategy after M&A integration
- Aligning incident severity levels with continuity tiers
- Automating continuity triggers from monitoring alerts
- Documenting response authority chains
- Integrating war room procedures with recovery plans
- Using post-mortem findings to improve continuity
- Training on-call engineers in continuity protocols
- Validating response timelines with real incidents
- Linking incident data to insurance reporting
- Managing communication during extended outages
- Recovering from model poisoning attacks
- Integrating security incident response
- Updating playbooks after regulatory inspections
- Designing controlled failure simulations
- Using shadow traffic in continuity testing
- Validating failover in canary environments
- Measuring test effectiveness with RTO compliance
- Documenting test results for auditors
- Scheduling tests around model training cycles
- Automating test execution and reporting
- Integrating chaos engineering principles
- Responding to test failures
- Updating plans based on test results
- Managing stakeholder expectations during tests
- Training teams on test procedures
- Standardizing continuity documentation formats
- Automating evidence collection from infrastructure tools
- Linking control assertions to technical configurations
- Validating evidence completeness before audits
- Using version control in documentation management
- Integrating documentation with CI/CD pipelines
- Preparing for surprise regulatory visits
- Responding to auditor queries efficiently
- Maintaining document retention policies
- Using templates in M&A due diligence
- Translating technical details for non-technical reviewers
- Auditing documentation processes
- Assessing third-party continuity documentation
- Negotiating continuity requirements in contracts
- Monitoring vendor SLA compliance
- Validating vendor test results
- Managing multi-vendor failure scenarios
- Integrating vendor data into risk assessments
- Establishing escalation paths for continuity issues
- Responding to vendor outages
- Auditing vendor continuity claims
- Managing vendor transitions without disruption
- Using vendor data in internal reporting
- Documenting third-party dependencies
- Requiring continuity review for high-risk changes
- Automating continuity checks in deployment pipelines
- Managing emergency changes under ISO 22301
- Updating continuity plans after infrastructure changes
- Validating change impact on recovery objectives
- Integrating change data into risk assessments
- Documenting change approval processes
- Training teams on change protocols
- Responding to failed changes
- Auditing change management effectiveness
- Using change data in incident investigations
- Aligning with ITIL practices
- Analyzing audit findings for root causes
- Using incident data to improve continuity plans
- Benchmarking against industry peers
- Updating training based on performance gaps
- Measuring maturity over time
- Aligning improvements with business goals
- Integrating lessons learned into documentation
- Responding to regulatory changes
- Validating improvements through testing
- Reporting on continuity performance
- Managing improvement backlogs
- Sustaining momentum in continuous improvement
- Adapting ISO 22301 for regional compliance
- Managing multi-region failover strategies
- Standardizing practices across business units
- Training global teams on continuity
- Integrating local legal requirements
- Managing time zone challenges
- Scaling documentation systems
- Responding to global incidents
- Auditing distributed teams
- Consolidating reporting for leadership
- Managing language and cultural differences
- Ensuring consistency in M&A integrations
How this maps to your situation
- Responding to surprise regulator visit
- Preparing for M&A due diligence package
- Reducing rework in SOC 2 evidence collection
- Avoiding last-minute fixes in continuity review
Before vs. after
What's included with your purchase
- 12 modules with 12 chapters each (144 chapters)
- Downloadable templates and worked examples for every module
- Hand-built implementation playbook delivered alongside course access
- 30-day money-back guarantee
Delivery and format
- Course and learning environment access provisioned within 24 hours of purchase
- Hand-built implementation playbook delivered alongside course access
Format: Text-based modules and chapters in the Art of Service learning environment, plus downloadable templates and worked examples for every chapter, plus the hand-built implementation playbook delivered alongside course access.
Time investment: 90 minutes per week for 12 weeks, or complete at your own pace within 6 months.
How this compares to the alternatives
Unlike generic ISO 22301 training, this course is built for DevOps engineers in cloud-native environments, with concrete examples from AI infrastructure, real audit evidence templates, and patterns from recent M&A integrations.
Frequently asked
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.