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

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


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About the Book

Unlock the full potential of enterprise platforms and drive the future of your business by incorporating cutting-edge gen AI techniques Key Features 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 Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionModern 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 about the future of platform engineering to help you anticipate trends and lead through change with confidence. By the end of this book, you’ll be able to design and implement resilient, intelligent platforms, accelerate innovation, and drive measurable business impact, positioning you and your organization as leaders in the next era of platform engineering.What you will learn Discover how modern platform engineering drives scalability and sustainable business value Design and implement internal developer platforms with self-service, golden paths, and AI automation Integrate AI and machine learning for predictive observability and smart workload optimization Use leadership and cultural transformation frameworks to build high-performance platform teams Measure and optimize platform success through KPIs and FinOps strategies Accelerate software delivery by unifying existing tools and workflows into cohesive, scalable platforms Who this book is forThis book is for experienced professionals across IT, product, and business functions who are responsible for building, operating, optimizing, or scaling platform capabilities. It is tailored for platform engineers, DevOps engineers, software developers, IT operations teams, transformation leaders, and business executives looking to align platform strategy with organizational goals. A solid understanding of DevOps practices, cloud-native technologies, and software development lifecycles, as well as familiarity with CI/CD, infrastructure automation, and modern application deployment is a must.

Table of Contents:
Table of Contents Introduction to Modern Platform Engineering Architectural Foundations and Strategy Cultural Transformation and Leadership The Platform Engineering Ecosystem Incorporating Artificial Intelligence into Platform Engineering Engineering Platform Data Management Security, Compliance, and Risk Management Real-World Applications and Case Studies Testing, Quality Assurance, and Operations Building High-Performance Platform Teams From Vision to Reality: Mastering Enterprise Platform Engineering

About the Author :
Dr. Mark Peters works as Senior Director Solutions Architecture, responsible for constructing innovative technological solutions for government and commercial customers. He worked on 4 different DoD DevOps DoD programs and is a DevOps Institute Ambassador. He integrated intelligence processes with operational delivery in the USAF, retiring as a LtCol. A double doctor in Strategic Security and a PhD in Information Technology, analyzing a decade of cyber-attacks. A cybersecurity expert, he holds certifications as CISSP, PMP, CGSCL, and others. He reads, thinks, writes, and then speaks in his spare time. He enjoys his family, fitness and drawing Dr. Peters is passionate about working with individuals on their unique DevSecOps implementations. A full-up DevOps junkie, he maintains unbound optimism about incorporating DevOps across multiple industries. He has authored, "Cashing in on Cyberpower" and 100s of technical reviews, articles and presentations. Dr. Gautham Pallapa, a globally recognized thought leader and award-winning author of “Leading with Empathy,” has a distinguished 20-year career in IT. He's spearheaded enterprise transformations at Fortune 500 & Global 2000 companies, utilizing his expertise in cloud-native technologies, AI/ML, and DevOps to drive substantial business value. His ethos, “Transform with Empathy,” underpins Transformity, a thought leadership forum he founded to transform organizations with empathic leadership and technology. As a sought-after keynote speaker, Dr. Pallapa's contributions to application modernization and business value acceleration have garnered numerous accolades, making him a pivotal figure in empathic leadership, innovation, and organizational success.


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Product Details
  • ISBN-13: 9781835880494
  • Publisher: Packt Publishing Limited
  • Publisher Imprint: Packt Publishing Limited
  • Language: English
  • Sub Title: A practical guide to platform engineering and generative AI for high-performance software delivery
  • ISBN-10: 1835880487
  • Publisher Date: 27 Jun 2025
  • Binding: Digital (delivered electronically)
  • No of Pages: 302


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