A tailored course, built for your situation
Advanced Kubernetes Security & HPC DevOps Integration
Master zero-trust orchestration at scale for high-performance computing environments
$199 one-time
24-hour access provisioning
30-day money-back guarantee
Hand-built implementation playbook
12 modules. 12 chapters per module. 144 chapters total.
12 modules, each with 12 chapters (144 chapters total), text-based, plus downloadable templates and a hand-built implementation playbook delivered alongside course access.
Even elite DevOps teams face configuration drift and policy fragmentation when scaling Kubernetes in HPC clusters
The situation this course is for
As HPC environments absorb more AI/ML workloads, legacy security models break under distributed orchestration. Teams struggle to maintain compliance, enforce network policies, and audit containerized jobs across hybrid infrastructures. Without unified security frameworks, even high-performing systems risk silent failure modes in production.
Who this is for
HPC DevOps leaders with hands-on Kubernetes experience who are tasked with hardening large-scale compute environments against evolving threats and compliance demands
Who this is not for
Junior administrators, non-technical managers, or professionals without active involvement in containerized HPC systems
What you walk away with
- Architect Kubernetes clusters with zero-trust networking for HPC workloads
- Implement automated policy enforcement using OPA and Kyverno
- Secure GPU-accelerated AI/ML pipelines end-to-end
- Audit and harden node-level configurations across 1000+ node clusters
- Integrate Kubernetes with HPC batch schedulers securely
The 12 modules (with all 144 chapters)
Module 1. HPC DevOps Evolution
Understand how Kubernetes is reshaping high-performance computing workflows and the security implications of containerized job orchestration.
12 chapters in this module
- HPC landscape shift
- Kubernetes adoption curve
- Security debt in migration
- Hybrid cluster design
- Workload classification
- Compliance by design
- Policy maturity model
- Observability foundations
- Identity in HPC
- RBAC at scale
- Audit readiness
- Threat modeling scope
Module 2. Zero-Trust Architecture
Apply zero-trust principles to Kubernetes clusters with strict identity validation, micro-segmentation, and least-privilege access controls.
12 chapters in this module
- Zero-trust definition
- Network micro-segmentation
- Service identity
- mTLS enforcement
- SPIFFE integration
- Identity federation
- Access token lifecycle
- Node attestation
- Workload trust
- Policy enforcement points
- Trust boundaries
- Continuous verification
Module 3. Secure Cluster Foundations
Harden Kubernetes control planes, etcd, and worker nodes using CIS benchmarks and automated configuration scanning.
12 chapters in this module
- Control plane hardening
- etcd encryption
- API server flags
- Kubelet lockdown
- Pod security standards
- Node OS tuning
- File integrity monitoring
- Automated CIS checks
- Bootstrapping securely
- Credential rotation
- Audit log routing
- Immutable node design
Module 4. Policy as Code
Implement and maintain declarative security policies using OPA and Kyverno for consistent enforcement across clusters.
12 chapters in this module
- OPA/Gatekeeper intro
- Rego syntax essentials
- Constraint templates
- Kyverno policies
- Policy lifecycle
- Mutation rules
- Validation rules
- Resource filtering
- Policy testing
- CI integration
- Reporting violations
- Multi-cluster sync
Module 5. Network Security
Design and enforce secure network policies using CNI plugins and service mesh technologies to prevent lateral movement.
12 chapters in this module
- CNI security review
- Calico deep dive
- Cilium + BPF
- Service mesh role
- Istio security
- Linkerd mTLS
- Network policy
- Egress filtering
- DNS protection
- Ingress hardening
- DDoS mitigation
- Traffic visibility
Module 6. Secrets & Configuration
Manage sensitive data securely using encrypted storage, dynamic secrets, and secure injection patterns.
12 chapters in this module
- Secrets management
- Vault integration
- KMS backends
- Dynamic credentialing
- Sidecar injection
- ConfigMap security
- Environment variable risks
- Pod identity
- Workload identity
- Rotation automation
- Audit secrets access
- Breakglass patterns
Module 7. HPC Workload Security
Secure GPU-accelerated and batch-scheduled workloads common in scientific computing and AI/ML pipelines.
12 chapters in this module
- GPU isolation
- Job scheduler integration
- Slurm security
- Singularity bridge
- Job validation
- Resource quotas
- Time-bound execution
- Checkpoint security
- Data staging
- Multi-tenancy controls
- Priority class risks
- Queue hardening
Module 8. Continuous Compliance
Maintain regulatory alignment through automated policy checks, continuous monitoring, and audit-ready reporting.
12 chapters in this module
- Compliance framework mapping
- NIST alignment
- SOC2 controls
- HIPAA patterns
- GDPR readiness
- Automated attestation
- Control documentation
- Audit trail design
- Evidence collection
- Remediation workflows
- Policy versioning
- Stakeholder reporting
Module 9. Threat Detection
Deploy runtime security tools and behavioral analytics to detect anomalies and malicious activity in production clusters.
12 chapters in this module
- Runtime detection
- Falco rules
- Sysdig Secure
- eBPF monitoring
- Process lineage
- Fileless attack detection
- Privilege escalation alerts
- Network anomaly detection
- Log enrichment
- Incident triage
- Automated response
- Threat intelligence feeds
Module 10. CI/CD Security
Secure the software supply chain with signed images, SBOMs, and policy checks at every stage of the pipeline.
12 chapters in this module
- Secure CI design
- Image signing
- Cosign integration
- SBOM generation
- Dependency scanning
- Vulnerability scoring
- Pipeline RBAC
- Approve gates
- Immutable artifacts
- Provenance metadata
- Attestation signing
- Rollback security
Module 11. Disaster Recovery
Plan for resilience with secure backup, recovery, and failover strategies tailored to HPC environments.
12 chapters in this module
- Backup strategy
- etcd snapshot security
- Velero usage
- Cross-region sync
- Restore validation
- RTO planning
- RPO alignment
- Stateful workload recovery
- Access during outage
- Encryption key backup
- Recovery testing
- Blast radius control
Module 12. Operational Excellence
Sustain long-term security posture through documentation, team enablement, and iterative improvement.
12 chapters in this module
- Runbook creation
- Incident playbooks
- On-call training
- Post-mortem culture
- Knowledge sharing
- Toolchain standardization
- Feedback loops
- Metrics that matter
- Team enablement
- Escalation paths
- Documentation hygiene
- Continuous learning
How this maps to your situation
- You're managing Kubernetes in an HPC environment with AI/ML workloads
- You're responsible for securing multi-tenant compute clusters
- You're integrating Kubernetes with legacy batch schedulers
- You're leading compliance efforts for containerized scientific computing
Before vs. after
Before
Managing fragmented security policies across HPC and Kubernetes environments with inconsistent enforcement and audit readiness
After
Operating a unified, policy-driven security model that scales across hybrid infrastructure with automated compliance and attack surface reduction
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: Approximately 60 hours of focused learning, designed for integration with active HPC DevOps responsibilities
If nothing changes
Continuing with siloed security approaches increases exposure to configuration drift, compliance failures, and undetected breaches in high-value compute environments.
How this compares to the alternatives
Unlike generic Kubernetes security courses, this program is tailored to the unique constraints of high-performance computing, integrating batch scheduling, GPU workloads, and scientific data pipelines into a unified security framework.
Frequently asked
Who is this course designed for?
HPC DevOps engineers, platform leads, and security architects responsible for Kubernetes clusters running scientific or AI/ML workloads.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Is hands-on lab access included?
No labs, this is a text-based, implementation-focused course with templates and playbooks for real-world deployment.
$199 one-time. Approximately 60 hours of focused learning, designed for integration with active HPC DevOps responsibilities.
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.
30-day money-back guarantee·
144 chapters·
Hand-built playbook included·
Account access within 24 hours