Oreilly – Cloud Native Platform Engineering 2026-5

Oreilly – Cloud Native Platform Engineering 2026-5

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Description

Cloud Native Platform Engineering Course. This course examines the architectural, cultural, and technical principles for building and developing native engineering platforms to reduce complexity and accelerate software delivery in cloud environments. The process of developing software products and deploying them in an operational environment requires time to demonstrate its true value. Platform engineering is a specialized field for solving the challenges of continuous and standardized software delivery amidst evolving technologies, management needs, and security requirements. It goes beyond traditional IT practices and the limitations of fragmented DevOps methodologies by eliminating time and complexity. This course provides a comprehensive, proven blueprint that is the result of years of experience designing and building platforms that deliver automated services in cloud native environments. The core of this course is based on the principle that a platform should be managed as a product with a lifecycle, driven by technical product ownership, and improved based on measurable value and real-world user usage. Learners will learn how to apply evolutionary architecture and software-based methodologies using cloud technologies such as Kubernetes and Infrastructure as Code to minimize developer workload and complexity. Additionally, the course will explore how to measure platform success using key metrics to translate technical successes into tangible business outcomes. Automated governance will be taught through decoupling compliance assurance using Policy-as-Code. It will also cover how to use generative AI to improve developer experience, automate troubleshooting, and accelerate platform planning to build scalable and sustainable infrastructures in organizations.

What you will learn

Explaining Platform Value: Understanding the value of treating an internal engineering platform or IDP as a lifecycle-managed product.
Evolutionary architecture design: Implementing an evolutionary architecture aligned with the platform’s core product domains to accommodate changes.
Measuring success indicators: Assessing success using reduced developer cognitive load and platform adoption rate.
Automated governance integration: Decouple compliance actions from security checks using Policy-as-Code.
Evolutionary observability: Creating continuous monitoring systems as a platform service to improve stability and diagnose system health.
Scalability patterns: Building scalability patterns in decentralized environments including dynamic pipelines and event streams.
Leveraging AI: Using intelligent assistants and generative AI to improve developer experience and automation.
Managing developer portals: Understand the relationship between internal developer platforms (IDPs) and developer portals to build unified interfaces.

This course is suitable for people who:

Platform Engineers and SREs: Platform engineers, site sustainability engineers (SREs), and DevOps professionals who are looking to formalize and scale platforms.
Software Architects: Software architects and engineering managers who are responsible for modernizing distributed applications and systems.
Enterprise Developers: Developers responsible for deploying software in cloud environments using Kubernetes and microplatforms.