Cloud Native Platform Engineering

10+ Hours of Video Instruction

Master the architectural and cultural practices to build and scale engineering platforms that eliminate friction and accelerate software delivery in a cloud native world.

Software product development work takes time to flow through an organization and ultimately be deployed to production, where it captures value. Platform engineering is the discipline dedicated to solving the fundamental challenge of consistently delivering custom software amidst evolving technologies, extensive governance, and security needs in a standardized manner that eliminates waste. It moves beyond traditional siloed IT and the limitations of scattered DevOps practices.

This course provides a comprehensive, proven blueprint, forged over decades of experience, for designing and building platforms that deliver a genuine self-service experience in cloud native environments. It focuses on the core principle that a platform must be treated as a lifecycle-managed product, led by technical product ownership, and that it evolves based on measurable value and actual user adoption. Learners will gain actionable insights on applying evolutionary architecture and software-defined practices, using cloud native technologies (such as Kubernetes and infrastructure as code) to minimize friction and cognitive load for developers.

Skill Level:

• Intermediate

Learn How To:

• Articulate the value proposition of treating the internal engineering platform (or an IDP) as a lifecycle-managed product
• Design and implement an evolutionary architecture that accommodates change and aligns with the eight key platform product domains
• Measure success using leading indicators such as cognitive load and adoption rate, translating technical wins into objective business outcomes
• Integrate automated governance by separating compliance work from compliance verification using policy-as-code and platform-managed trust
• Establish evolutionary observability as a platform service to drive reliability and proactively detect system health and feature usage
• Build scaling patterns for a federated environment, including dynamic pipelines and platform event streaming for decoupling services and integration
• Leverage intelligent assistants and generative AI to enhance developer experience, automate diagnostics, and accelerate platform planning and execution
• Understand the relationship between internal developer platforms (IDPs) and developer portals, and implement a unified, user-centric vendor-agnostic interface

Course requirements: 

• Experience with Python/Java/Go and a basic knowledge of distributed computing, cloud-based services, Agile methods, and microservice architectures is required. An IDE (such as Visual Studio Code)
• Familiarity with infrastructure as code (IaC) principles (e.g., Terraform) and fundamental Kubernetes concepts is assumed.

Who Should Take This Course:

• Platform engineers, site reliability engineers (SREs), and DevOps practitioners seeking to formalize platform creation and scale existing practices
• Software architects, engineering managers, and enterprise developers responsible for application modernization, distributed systems, and deployment to the cloud using Kubernetes and microservices

About Pearson Video Training:   

Pearson publishes expert-led video tutorials covering a wide selection of technology topics designed to teach you the skills you need to succeed. These professional and personal technology videos feature world-leading author instructors published by your trusted technology brands: Addison-Wesley, Cisco Press, Pearson IT Certification, Prentice Hall, Sams, and Que Topics include: IT Certification, Network Security, Cisco Technology, Programming, Web Development, Mobile Development, and more.  Learn more about Pearson Video training at  http://www.informit.com/video.