Description
Complete K8s platform engineering course for AWS with service mesh configuration, autoscaling policies, storage classes, and disaster recovery for general. Tested on clusters running 50-500 pods in production environments.
Program Positioning: Citadel Applied Outcomes Framework
This offer is structured around three outcomes: delivery speed, operational resilience, and audit-ready governance. The content is implementation-first and mapped to production execution standards.
Who This Is For
- Cloud Engineer
- Platform Engineer
- Security Engineer
- Site Reliability Engineer
- DevOps Engineer
- Release Manager
- Instructional Designer
Prerequisites
- Basic networking (DNS, TLS, HTTP)
- Linux/CLI fundamentals
- Version control and CI fundamentals
Learning Outcomes
- Design target-state architecture with explicit trade-off reasoning.
- Implement secure, repeatable delivery workflows with measurable controls.
- Translate technical execution into business and compliance outcomes.
Product Implementation Path
- Assess baseline state and identify execution gaps
- Apply blueprint in staged rollout (dev, test, production)
- Run verification, hardening, and governance checks
- Handover runbooks, ownership matrix, and KPI dashboard
Expected Deliverables
- Reference architecture diagram and decision record
- Operational runbook with rollback steps
- Validation checklist mapped to acceptance criteria
Success Metrics
- Deployment lead time
- Change failure rate
- Mean time to recovery (MTTR)
- Cost-per-environment efficiency
Official Resource References
- AWS Documentation
- AWS Well-Architected Framework
- AWS SaaS Lens
- Kubernetes Documentation
- Kubernetes Security
- Google Cloud DevOps Research
- DORA Research Hub
- 1EdTech Open Badges
- 1EdTech LTI 1.3
- WCAG 2.2 Overview
- National Standards for Quality Online Courses
- Google Helpful Content Guidance
- WCAG 2.2 Recommendation
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