A tailored course, built for your situation
Pragmatic Platform Engineering Practice for High-Growth Organizations
Implement scalable, secure, and sustainable platform foundations that accelerate delivery and align with strategic business objectives.
The situation this course is for
Even in high-performing organizations, platform engineering efforts often stall under technical debt, unclear ROI, and resistance from engineering teams. Without a pragmatic, outcome-focused approach, platforms become costly experiments rather than accelerators.
Who this is for
Technology leaders, engineering managers, productOps, DevOps leads, and platform architects in mid-to-large organizations scaling their software delivery.
Who this is not for
This course is not for individual contributors focused only on coding, nor for those seeking certification prep or vendor-specific tool training.
What you walk away with
- Design and operationalize a platform strategy that aligns with business velocity
- Implement governance models that balance autonomy and control
- Build self-service capabilities that reduce cognitive load for developers
- Measure and communicate platform ROI to executive stakeholders
- Avoid common pitfalls in platform adoption, funding, and team structure
The 12 modules (with all 144 chapters)
- Defining the platform engineering mandate
- Differentiating platforms from tooling and pipelines
- The evolution from DevOps to platform teams
- Core principles: abstraction, usability, reliability
- When to build vs. buy a platform capability
- Common misconceptions and anti-patterns
- Role of standardization without stifling innovation
- Platform as an enabler of developer experience
- Mapping platform goals to business KPIs
- Establishing platform vision and scope
- Engaging stakeholders across engineering and product
- Creating early wins and measurable outcomes
- Assessing organizational readiness for platform investment
- Defining platform charter and success metrics
- Collaborating with product and engineering leadership
- Balancing centralization and decentralization
- Roadmapping platform capabilities by priority and impact
- Securing executive sponsorship and budget
- Integrating platform strategy with tech transformation
- Managing competing priorities across teams
- Using outcome-based planning for platform delivery
- Aligning with security, compliance, and finance
- Creating feedback loops with platform consumers
- Iterating strategy based on usage data
- Defining roles: platform product manager, engineer, advocate
- Team size and composition for early vs. mature stages
- Operating models: product team vs. shared service
- Defining service level expectations
- Building platform advocacy and change management
- Onboarding and supporting internal customers
- Managing intake, prioritization, and backlog
- Establishing internal SLAs and communication norms
- Cross-team collaboration frameworks
- Measuring team effectiveness and throughput
- Hiring and developing platform talent
- Scaling platform teams with autonomy
- Core components of an internal developer platform
- Designing intuitive developer experiences
- Building golden paths without enforcing rigidity
- Implementing scaffolding and templating systems
- Integrating CI/CD, provisioning, and monitoring
- Creating reusable workflows and blueprints
- Supporting polyglot environments and frameworks
- Versioning and deprecation strategies
- Documentation as a first-class platform feature
- Feedback mechanisms for continuous improvement
- Accessibility and usability testing for internal tools
- Scaling IDP to support hundreds of services
- Evaluating IaC tools: Terraform, Pulumi, CDK
- Designing reusable module libraries
- Managing state securely and reliably
- Implementing policy as code with Open Policy Agent
- Automating environment lifecycle management
- Multi-cloud and hybrid cloud patterns
- Drift detection and remediation
- Testing infrastructure configurations
- Version control and change approval workflows
- Cost-aware provisioning and guardrails
- Secrets management integration
- Automating compliance checks in pipelines
- Defining observability for platform teams
- Metrics, logs, traces: integration and correlation
- Building dashboards for platform health
- Monitoring platform usage and adoption
- Setting up alerts for system and service issues
- Root cause analysis and incident response
- Cost and performance telemetry
- Feedback loops from production to platform design
- SLOs and error budgets for platform services
- Chaos engineering and resilience testing
- Capacity planning and scaling signals
- Reporting platform value to stakeholders
- Shifting security left through platform controls
- Automated vulnerability scanning and policy enforcement
- Identity and access management at scale
- Compliance as code and audit readiness
- Data protection and privacy guardrails
- Regulatory alignment (SOC2, ISO, HIPAA, etc.)
- Secure software supply chain practices
- Third-party risk management in platform tooling
- Incident response integration
- Audit logging and traceability
- Risk assessment for platform decisions
- Collaborating with security and legal teams
- Understanding cloud cost drivers at scale
- Chargeback vs. showback models
- Cost allocation by team, product, or service
- Budgeting and forecasting for platform investments
- Right-sizing infrastructure automatically
- Spot instances, reservations, and savings plans
- Monitoring waste and idle resources
- Cost-aware developer tooling and feedback
- Evaluating ROI of platform initiatives
- Negotiating vendor contracts and licensing
- Platform funding models: central, shared, or product-paid
- Reporting cost efficiency to finance and leadership
- Measuring developer experience with DORA and other metrics
- Reducing time-to-first-commit and onboarding friction
- Creating compelling onboarding journeys
- Gathering and acting on user feedback
- Building communities of practice around the platform
- Internal marketing and platform advocacy
- Support channels and escalation paths
- Handling resistance and change management
- Celebrating wins and sharing success stories
- Improving platform usability through design sprints
- Benchmarking against industry standards
- Scaling adoption across large engineering orgs
- Defining platform success metrics
- Tracking deployment frequency and lead time
- Measuring reduction in toil and manual work
- Correlating platform use with team performance
- Calculating cost savings and efficiency gains
- Time-to-environment and provisioning speed
- Incident reduction and MTTR improvements
- Adoption rates and active user growth
- Customer satisfaction (CSAT) for internal users
- Benchmarking against peer organizations
- Creating executive dashboards
- Telling the platform story with data
- Identifying early adopters and champions
- Scaling platform capabilities to new business units
- Managing technical diversity and legacy integration
- Creating extensibility models for platform tools
- Supporting regulated and isolated environments
- Global scaling and regional considerations
- Handling organizational change and restructuring
- Aligning platform evolution with M&A activity
- Building platform interoperability
- Managing technical debt across platform components
- Continuous improvement cycles
- Planning for long-term platform sustainability
- Anticipating shifts in developer expectations
- Evaluating new technologies for platform integration
- Staying ahead of cloud and open source trends
- Building feedback loops with external ecosystems
- Partnering with vendors and open source communities
- Investing in platform innovation sprints
- Balancing stability and experimentation
- Roadmapping future capabilities
- Preparing for AI-assisted development workflows
- Adapting to new compliance and regulatory landscapes
- Sustaining platform investment during economic shifts
- Leading platform evolution as a strategic function
How this maps to your situation
- You're launching a platform team and need a proven framework
- You're scaling engineering but facing delivery bottlenecks
- You're justifying platform investment to leadership
- You're struggling with inconsistent practices across teams
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: Approximately 4-6 hours per module, designed for busy professionals to complete at their own pace over 8-12 weeks.
How this compares to the alternatives
Unlike generic DevOps courses or vendor-specific certifications, this program delivers a holistic, implementation-grade curriculum focused on the operational, organizational, and strategic dimensions of platform engineering in high-growth environments.
Frequently asked
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.