In Effective Platform Engineering, we create platforms that empower developers and reduce operational complexity. You’ll learn how to build self-service platforms that enable teams to focus on delivering business value without getting bogged down by day-to-day operations. We share our collective experience of transforming organizations with real-world strategies that can drive developer autonomy, improve efficiency, and accelerate digital transformation. From understanding foundational platform principles to incorporating advanced features like Generative AI, this book will guide you every step of the way.

What is Platform Engineering?
Platform engineering (PE) is an exciting evolution of DevOps culture and practices that is revolutionizing the ability of many organizations to quickly and reliably deliver software to production. Though there is an internal cultural aspect to DevOps, far too often it just becomes a Team. Product developers tell DevOps what they need and DevOps creates it; Frequently with a complex combination of manual and automated infrastructure-as-code practices. Over time and at scale, the general pace and complexity of IT work ends up not sustainably improved. Improvements in quality are often used to justify the effort. While the boost in quality is valuable, it's important to remember that DevOps originally emerged to keep up with the faster development cycles that the market demands. This remains a challenge for most organizations.
If we start thinking of DevOps as a product team that builds and delivers an infrastructure product, and we design and engineer with this goal in mind, we open the door to a completely different outcome.
it allows teams to operate in a more autonomous way during the development process leading to faster delivery of features. As teams start to operate their own software in production, PE practices provide a way to do so with less cognitive load and complexity leading to software stability and quick issue resolution.
Contents.
PART 1: GETTING STARTED.
1 What is Platform Engineering?.
2 Foundational Platform Engineering Practices.
3 Measuring your way to Platform Engineering Success.
PART 2: BUILDING ENGINEERING PLATFORMS.
4 Governance, Compliance and Trust.
5 Evolutionary Observability.
6 Building a Software-Defined Engineering Platform.
7 Platform Control Plane Foundations.
8 Control Plane Services and Extensions.
PART 3: SCALING ENGINEERING PLATFORMS.
9 Architecture Changes to Support Scale.
10 Platform Product Evolution.
11 Generative AI in Platform Engineering.
Appendix A. Developer Expectations.
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Теги: учебник по программированию :: программирование :: Chankramath :: Cheneweth :: Oliver :: Alvarez
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