Can I read Mastering Enterprise Platform Engineering: A practical guide to platform engineering and generative AI for high-performance software delivery on EtoBox?

Mastering Enterprise Platform Engineering: A practical guide to platform engineering and generative AI for high-performance software delivery by Mark Peters, Gautham Pallapa is a nonfiction available to read on EtoBox.

What is Mastering Enterprise Platform Engineering: A practical guide to platform engineering and generative AI for high-performance software delivery about?

Key benefits• Apply proven frameworks and real-world strategies to design scalable, high-performing platforms• Integrate AI-powered observability, security, compliance into your platform using best practices• Work through hands-on tutorials and case studies to implement platform engineering successfully for measurable business impact Modern organizations must deliver software faster, ensure platform stability, and adopt AI, all while reducing operational complexity and cost. But fragmented tooling, scaling challenges, and limited developer enablement hinder progress – driving engineering leaders to seek a cohesive strategy for efficiency, resilience, and innovation. In this book, Dr. Mark Peters and Dr. Gautham Pallapa join forces to resolve these complexities by showing you how to build scalable platforms, operate them efficiently through automation and AI, and optimize software delivery pipelines for continuous value. The chapters cover core principles, including platform architecture, self-service enablement, and developer experience. You’ll explore proven frameworks for cultural transformation, strategic alignment, and continuous improvement, along with 10 bold predictions abou

Who reads Mastering Enterprise Platform Engineering: A practical guide to platform engineering and generative AI for high-performance software delivery?

Author

Mark Peters, Gautham Pallapa

Publisher

Packt Publishing

Published

2025

Language

EN

ISBN

9781835880487

Category

nonfiction

Subjects

Computer Science, Enterprise Computing Systems, Stem