Mastering Enterprise Platform Engineering
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Mastering Enterprise Platform Engineering
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 Description 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 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 for This 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.
Mastering Enterprise Performance Engineering: From Monoliths to Microservices
Author: Gaurav Rathor
language: en
Publisher: Xoffencer International Book Publication House
Release Date: 2025-06-28
Mastering Enterprise Performance Engineering: From Monoliths to Microservices is a comprehensive guide that explores the strategic, architectural, and engineering principles needed to build and maintain high-performance enterprise systems in the modern software era. As organizations evolve from legacy monolithic architectures to distributed microservices, the complexity of ensuring consistent performance, scalability, and reliability increases exponentially. This book provides an end-to-end performance engineering framework that integrates best practices across development, deployment, and operations. Beginning with foundational concepts of performance metrics, system bottlenecks, and load modeling, the book transitions into advanced topics such as distributed tracing, service mesh optimization, autoscaling policies, and performance-aware CI/CD pipelines. Readers will gain deep insights into capacity planning, cloud-native profiling, caching strategies, asynchronous processing, and real-time monitoring across microservices ecosystems. Case studies and real-world scenarios illustrate how to proactively diagnose and resolve performance degradation, even in highly dynamic environments. Designed for software architects, DevOps engineers, SREs, and technical leads, this book empowers professionals to shift performance left in the software lifecycle, adopt proactive observability, and ensure that systems not only function—but thrive— under demanding enterprise workloads. With a blend of theory, tooling, and actionable guidance, this book is essential reading for anyone navigating the shift from monoliths to microservices in pursuit of performance excellence.
Mastering Enterprise Solution Modeling
Author: Sean (Chunhong) Gu
language: en
Publisher: Springer Nature
Release Date: 2024-12-19
Embark on a journey through the Agile-Enterprise Solution Architecture (A-ESA) framework with this in-depth guide designed to provide a structured approach to IT solution modeling. The modeling approach is based on the principles of simplicity, significance, and systematics. It effectively addresses architectural debt issues in today's agile and large-scale IT solutions. Beginning with a foundational overview of A-ESA model specifications, the book introduces readers to the intent and unique methodologies behind A-ESA. It then delves into practical demonstrations through example solution cases, offering real-world context and insights into various architectural styles. Each chapter builds on this knowledge, covering the governing ideas of the thinking framework and essential topics such as key metrics, and modeling considerations for diverse architectural styles, ensuring a thorough understanding of A-ESA's application in different contexts. The book also emphasizes the link between enterprise architecture (EA) and solution architecture (SA), and the importance of governance and measurement in maintaining the integrity and effectiveness of architectural solutions. Readers will explore critical metrics, governance techniques, and the impact of agile modeling on purpose and architectural leading practices. With practical examples, measurement techniques, and governance strategies, this guide equips readers with the cognitive and practical tools necessary for strategic and effective architectural thinking. Concluding with reflections and future outlooks, this comprehensive guide offers valuable insights for mastering IT solution modeling within the A-ESA framework. You Will: Gain hands-on experience with the Agile-Enterprise Solution Architecture (A-ESA) framework through detailed examples and solution cases that illustrate various architectural styles and modeling techniques. Understand the critical metrics and model mappings necessary for evaluating architectural quality and performance. Develop a deep understanding of the A-ESA architectural thinking, including strategic, enterprise, business, data, and cloud architecture considerations This book is for : IT architects, enterprise architects, and solutions architects.