
Mastering Enterprise Platform Engineering
Description
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- 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.
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Content
- Cover
- Title Page
- Copyright and Credits
- Preface
- Part 1: Build Establish the Enterprise Platform Foundation
- Chapter 1: Introduction to Modern Platform Engineering
- Technical requirements
- What is Platform Engineering?
- Transforming the digital landscape through the DevOps revolution
- History of DevOps - A cultural and technological renaissance
- The Agile Manifesto
- Bridging the divide - The birth of DevOps
- Milestones and growth
- The interplay between Lean, Agile, and DevOps
- Notable case studies
- Evolution of DevOps to Platform Engineering
- From CI/CD to automation and cloud technologies
- Platform Engineering - The mise en place for business transformation
- The strategic importance of Platform Engineering for enterprises
- A brief analysis of existing technologies
- Criteria for effective Platform Engineering
- Popular technologies
- Actionable takeaways
- Summary
- Further reading
- Chapter 2: Architectural Foundations and Strategy
- Technical requirements
- Core concepts and components
- The essential platform
- Deployment components
- Designing for scalability, security, and resilience
- Building for scalability
- Designing security
- Implementing resilience
- From legacy systems to cloud-native applications
- Essential platform architecture
- Summary
- Further reading
- Chapter 3: Cultural Transformation and Leadership
- Technical requirements
- The urgency of cultural evolution in a digital-first world
- Recognizing organizational culture
- Benefits of a generative culture
- Strategies for transitioning to a generative culture
- Cultivating a generative culture - Strategic initiatives for leaders
- Empathy - The core of organizational value
- Empathy as the connective tissue of human interaction
- The span of empathy - Understanding its impact on technology and business
- Compassionate empathy in action
- Leadership as the catalyst for empathic change
- Becoming an empathic leader
- Psychological safety - The bedrock of innovation
- Embracing and celebrating failures
- The empathic leader's role in fostering innovation
- Orchestrating cultural transformation - The power of strategic frameworks
- Unleashing innovation with Platform Engineering
- The POWER framework
- Summary
- Further reading
- Join the CloudPro Newsletter with 44000+ Subscribers
- Chapter 4: The Platform Engineering Ecosystem
- The essential Platform Engineering tools
- Infrastructure as code
- Configuration management tools
- Software version control systems
- Legacy tool observability
- Orchestrating the platform ecosystem
- Container orchestration systems
- Kubernetes interfaces
- Monitoring and logging
- Orchestration observability
- Platform software delivery ecosystems
- CI/CD tools
- DevOps integration
- Pipeline observability
- Summary
- Part 2: Execute Run Enterprise Platforms with Precision
- Chapter 5: Incorporating Artificial Intelligence into Platform Engineering
- Technical requirements
- Embracing the AI revolution in Platform Engineering
- AI as the vanguard of Platform Engineering
- Strategic implementation of generative AI systems
- Key elements of generative AI systems
- Strategically implementing AI in Platform Engineering
- Practical applications and use cases of generative AI
- Automating development workflows
- Augmenting developers
- Improving code quality
- Brainstorming and problem-solving
- Code suggestions and autocompletion
- Transforming the developer workflow
- AI at the speed of thought
- Analysis
- AI in infrastructure management
- Security enhancement through AI
- Secure software supply chains
- Proactive cybersecurity
- Comprehensive security solutions
- Navigating the complexities of AI integration
- Data privacy and security concerns
- Regulatory and compliance issues
- Ethical and societal implications
- Summary
- Chapter 6: Engineering Platform Data Management
- The crucial role of data in Platform Engineering
- The integral role of data in AI and business success
- The correlation between data and Platform Engineering
- Data strategies in Platform Engineering
- Tool and technology selection
- Process optimization
- Enhancing operational efficiency
- Driving innovation through data integration
- Cultivating a data-driven culture
- Implementing data in Platform Engineering
- Implementing data strategies for optimal Platform Engineering
- Critical data strategies in Platform Engineering
- Achieving outcomes through data strategies
- Best practices for integrating data strategies with Platform Engineering
- The role of data in delivering business value
- Strategic impact of data on business outcomes
- Aligning data initiatives with business goals
- Using AI and data to deliver business value
- Case studies and examples of successful data-driven businesses
- Netflix - Revolutionizing entertainment with data-driven insights
- Amazon - Redefining retail with data-driven strategies
- Databricks - Unifying data and AI for business innovation
- Uber - Data-driven transformation in transportation
- Strategic insights from these case studies
- Data as a strategic asset
- Data architecture in Platform Engineering
- Data architecture design
- Modeling data management
- Data architecture best practices
- DataOps - Streamlining data management and operations
- The importance of DataOps
- Database pipelines
- Data security and observability
- Summary
- Chapter 7: Security, Compliance, and Risk Management
- Technical requirements
- Designing a secure-by-default platform
- Basics of security ideation
- What to secure
- How to secure the platform
- Network management and security practices use
- Firewalls
- Traffic management
- Leveraging AI for security enhancement
- AI in defense
- AI in offense
- Summary
- Join the CloudPro Newsletter with 44000+ Subscribers
- Chapter 8: Real-World Applications and Case Studies
- Learning from successful platform transitions
- Service-level agreements for Platform Engineering
- Successful scenarios
- Evaluating unsuccessful transformations
- Small challenges
- Large challenges
- Best practices for platform success
- Service platforms
- Recognize growth limits
- Don't build what already exists
- Establish metrics
- Innovating for new success
- Making technology leaps
- Compute
- Storage
- User interface
- Summary
- Further Reading
- Chapter 9: Testing, Quality Assurance, and Operations
- Technical requirements
- Best practices for testing platforms
- Development tests
- Integration tests
- Delivery tests
- Production tests
- Metrics, monitoring, and performance optimization
- The first questions
- Basic metrics
- Decomposing a metric
- Monitoring for metrics
- Optimizing metrics
- Platform incident management and recovery
- Summary
- Part 3: Accelerate Deliver Business Value and Lead the Future
- Chapter 10: Building High-Performance Platform Teams
- Technical requirements
- Structure of a high-performing Platform Engineering team
- Team composition and roles
- Leveraging industry frameworks and guidelines
- Organizational models
- Aligning teams with business outcomes
- Hiring for a high-performing team
- Identifying key skills and competencies
- Approaches that some companies have taken
- Effective hiring strategies
- Diversity, equity, and inclusion
- Nurturing and developing the team
- Empathize
- Empower
- Engage
- Entrust
- Equip
- Implementing the 5Es framework
- Sustaining high performance
- Continuous learning and development
- Performance metrics and feedback
- Recognizing and rewarding excellence
- Adaptive leadership and agility
- Building a collaborative culture
- Improving psychological safety and trust
- Establishing work-life harmony and well-being
- Career development and progression
- Embrace lifelong learning
- Seek out mentorship and coaching
- Take ownership and show initiative
- Define a clear growth path with your manager
- Consider leadership as a path forward
- Leverage the tools from this book for career success
- Summary
- Chapter 11: From Vision to Reality: Mastering Enterprise Platform Engineering
- From lessons learned to future wins
- Foundations and principles
- Cultural transformation
- AI in Platform Engineering
- Security and compliance
- Scalability and performance
- Building high-performance Platform Engineering teams
- Strategic planning and continuous improvement
- The strategic role of Platform Engineering
- Building a cohesive business strategy
- Creating a roadmap for implementation
- Fostering a culture of continuous improvement
- Delivering business value through Platform Engineering
- Elevating developer experience as a business enabler
- Driving operational efficiency at scale
- Aligning Platform Engineering with business metrics
- The future of Platform Engineering: 10 predictions for the next 5 years
- 1. Developers will evolve into product architects, not just coders
- 2. The end of tool fragmentation: Integrated, self-service developer experiences
- 3. Platform Engineering will shift from infrastructure to AI-driven orchestration
- 4. Security will become predictive and autonomous
- 5. AI agents will replace traditional IT operations
- 6. Developer experience will overtake cost as the primary KPI for platform teams
- 7. AI and observability will converge for predictive operations
- 8. Platform teams will standardize multi-cloud architectures
- 9. AI will enable autonomous governance and compliance
- 10. The future of work: AI-enhanced, human-driven platform teams
- Seize the future: Your role in shaping Platform Engineering
- The evolution of platforms and applications
- Building the future starts now
- Summary
- Key takeaways
- Stay Sharp in Cloud and DevOps - Join 44,000+ Subscribers of CloudPro
- Index
- Other Books You May Enjoy
Preface
Platform Engineering signifies the next seismic shift in DevOps development by connecting ongoing improvement to long-term automation. It condenses many years of valuable knowledge into a unified framework to evolve how organizations construct, oversee, and expand their digital platforms. In today's fast-paced business environment, bringing products to market quickly can make or break a company. Creating organic custom platforms often wastes time and misses chances. Platform Engineering offers a straightforward, powerful solution: concentrate on innovation and value while entrusting infrastructure and transformation intricacies to experts. The road to effective Platform Engineering is not a straight line; it is fraught with challenges that demand a deep understanding of technology and strategy.
Many organizations embark on this journey with the best intentions but find themselves trapped in an inefficiency cycle, taking 12-18 months or longer to escape, if ever. The truth is that what you need already exists; the challenge lies in knowing how to harness, integrate, and delegate platform responsibilities.
This book is more than just a compendium of theories; it is a practical guide offering actionable insights, best practices, and real-world tested tools. You'll learn how to configure scalable, secure, and reliable platforms with precision, ensuring your organization stays ahead of the curve. By the end, you'll feel fully prepared to lead your organization's Platform Engineering implementation.
This comprehensive guide covers everything from laying the cultural and architectural foundations to incorporating the latest advancements in AI-driven platforms. Through practical tutorials, hands-on projects, and insightful self-assessment questions, you will grasp Platform Engineering and be empowered to spearhead its adoption within your organization. Key features include the following:
- Designing and building an effective platform.
- Establishing platform infrastructure metrics and integration, including AI solutions.
- Maximizing platform success through accelerated delivery and continuous revenue.
By the time you finish reading, you won't just be ready for the future-you'll be prepared to shape it. This book will be your ally on the path to creating a DevOps-compatible, AI-powered platform that is not only a technical marvel but also a strategic asset, positioning your organization at the forefront of digital innovation.
Who this book is for
This book is crafted for professionals across IT, product, and business functions who are at the forefront of enterprise transformation. It speaks directly to business leaders, transformation change agents within IT departments, software developers, and IT operations teams responsible for ensuring the stability, reliability, and overall health of platforms. Whether you're leading the transformation, developing the platforms, or ensuring operational efficiency, this book is designed to equip you with the knowledge and tools you need to succeed.
This book offers a better path for software developers who are weary of the relentless cycle of building and maintaining their own platforms. The time spent on platform construction (often lasting 40-60 weeks) is time diverted from creating the applications that drive ROI and sharpen your competitive edge. If your goal is to build applications that succeed in the marketplace, the smart move is to leverage a platform engineered by experts, allowing you to focus on what truly matters: innovation and delivery. Similarly, for IT operations teams, Platform Engineering can reduce the burden of platform maintenance, allowing you to focus on strategic tasks that enhance the overall health of the platforms.
This book is an indispensable guide for the C-Suite, managers, and directors of engineering, security, platform, and operations teams, as well as the software developers and platform operators ready to elevate their organizations by adopting a strategic approach to Platform Engineering.
What this book covers
Chapter 1, Introduction to Modern Platform Engineering, offers a foundational explanation for why platforms are essential, some of the basic problems faced by platforms such as speed to market and resource costing, and some of the software solutions that exist. The chapter continues through a comparative analysis of existing tools. Understanding what DevOps is allows one to see the expansion of DevOps through using platforms to concentrate on the important aspects of flow, feedback, and delivery.
Chapter 2, Architectural Foundations and Strategy, helps you understand platform standards starting with the basic cloud migration, the cloud format from AWS to Azure or Google, and the cloud structure, as well as setting up Kubernetes clusters. The basic standards lead one to design and implement custom architectures within those spaces, but architectures also arrive with their own standards.
Chapter 3, Cultural Transformation and Leadership, shows that platforms aren't just about making technical changes to a production system but about aligning the cultural changes that support implementation. Cultural change requires acknowledging what exists and building a path to organizational changes. As leading-edge innovation, the chapter shapes technical leadership decisions to reach the platform marketplace through effective changes, delivering user value.
Chapter 4, The Platform Engineering Ecosystem, explores the idea that Platform Engineering is not just about installing a single software fix or implementing configuration as code but adjusting the entire delivery ecosystem. Good platforms incorporate a number of different tools to achieve success. Integrating those tools within different aspects of the platform is a key element of effective platforms. Furthermore, those tools should be incorporated into CI/CD outcomes through a DevOps methodology.
Chapter 5, Incorporating Artificial Intelligence into Platform Engineering, talks about how ingesting large amounts of data from different locations can be aided by using generative AI models both in coding and automating operations for software development. The chapter highlights several different off-the-shelf tools that can be integrated to support AI-based outcomes that enhance overall capabilities. Users must recognize their own approach to AI, as well as what other competitors may have done with AI and their lessons learned.
Chapter 6, Engineering Platform Data Management, shows you that platforms don't just need the initial formation but require managing data throughout multiple applications. One must implement effective strategies, optimize those strategies, and then manage data. Data management tools are described along with methods to handle all data, from user input to streaming solutions.
Chapter 7, Security, Compliance, and Risk Management, explores how DevOps has been recharacterized as DevSecOps, but any operational solution requires security. Platforms emphasize secure-by-default solutions for vulnerability tracking, software bills of materials, and patching solutions before deployment. Security goes beyond the platform itself to managing those who connect to the platform, especially in PaaS and SaaS-type solutions with AI tools.
Chapter 8, Real-World Applications and Case Studies, allows you to review case studies showcasing successful platform transformations and the integration of platforms with business strategies. It explores failed platform transformations to highlight the value of strategic planning and disruption in the enterprise. A DevOps success model is used to capture previous lessons and incorporate them to support current operations. This chapter also examines potential future lessons from those technologies and solutions that are not yet fully implemented.
Chapter 9, Testing, Quality Assurance, and Operations, highlights that platform solutions build beyond the basics to offer standardized pipelines and testing processes. Successfully implementing these processes generates repeatable bodies of evidence, allowing all software to be measured against the same standard. Implementing these standards creates quality across the product and allows for continual success.
Chapter 10, Building High-Performance Platform Teams, shows that central to the platform is having effective platform teams. Using optimal buy versus build strategies allows organizations to minimize dedicated platform individuals while maintaining scalability and reliability. High-performing teams can be designed within a DevOps framework without specialized knowledge based on platform benefits generated from standardized tooling, generative AI solutions, and modernized observability.
Chapter 11, From Vision to Reality: Mastering Enterprise Platform Engineering, emphasizes the importance of visionary leadership, strategic planning, and continuous improvement in driving platform success. It explores articulating platform initiative value to...
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- E-reader: Bookeen, Kobo, Pocketbook, Sony, Tolino and many more (not Kindle).
The file format ePUB works well for novels and non-fiction books – i.e., 'flowing' text without complex layout. On an e-reader or smartphone, line and page breaks automatically adjust to fit the small displays.
This eBook does not use copy protection or Digital Rights Management
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