Platform Engineering For Architects
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Platform Engineering For Architects
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Author : Max Körbächer
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-10-31
Platform Engineering For Architects written by Max Körbächer and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-31 with Computers categories.
Design and build Internal Developer Platforms (IDPs) with future-oriented design strategies, using the Platform as a Product mindset Key Features Comprehensive guide to designing platforms that create value and drive user adoption Expert insights on shifting to a product-centric mindset for architects and platform teams Best practices for managing platform complexity, reducing technical debt, and ensuring continuous evolution Book DescriptionAs technology evolves, IT talent shortages and system complexity make it essential to have structured guidance for building scalable, user-focused platforms. This book provides platform engineers and architects with practical strategies to develop internal development platforms that enhance software delivery and operations. You’ll learn how to identify end users, understand their needs, and define platform goals with a focus on self-service solutions for cloud-native environments. Using real-world examples, the book demonstrates how to build platforms within and for the cloud, leveraging Kubernetes. It also explores the benefits of a product-centric approach to platform engineering, emphasizing early end-user involvement and flexible design principles that adapt to future requirements. Additionally, the book covers techniques for maintaining a sustainable platform while minimizing technical debt. By the end, you’ll have the knowledge to design, define, and implement platform capabilities that align with your organization’s goals.What you will learn Make informed decisions aligned with your organization's platform needs Identify missing platform capabilities and manage that technical debt effectively Develop critical user journeys to enhance platform functionality Define platform purpose, principles, and key performance indicators Use data-driven insights to guide product decisions Design and implement platform reference and target architectures Who this book is for This book is for platform engineers, architects, and DevOps professionals responsible for designing and managing internal development platforms. It is also useful for decision-makers involved in optimizing software delivery and operations in cloud-native environments. Familiarity with cloud computing, Kubernetes, and CI/CD concepts is helpful but not required, as the book provides practical guidance on platform engineering, self-service solutions, and managing technical debt.
Snowflake Data Platform Engineering
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-09
Snowflake Data Platform Engineering written by Richard Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-09 with Computers categories.
"Snowflake Data Platform Engineering" "Snowflake Data Platform Engineering" is a comprehensive guide to mastering Snowflake, the modern cloud data platform enabling enterprise-grade analytics and data engineering at scale. This book demystifies Snowflake's foundational multi-cluster architecture, detailing the separation of storage and compute, virtual warehouse optimization, secure data management, and cloud provider-agnostic features. Readers are introduced to robust security frameworks, including encryption, RBAC, and data masking, alongside governance strategies vital for regulatory compliance and data protection. Building on architectural insights, the book systematically explores modern ingestion and integration patterns—from batch and bulk loading to real-time streaming with Snowpipe, effective handling of semi-structured data, and seamless connectivity to external data lakes and third-party ETL tools. In-depth chapters on data modeling, schema evolution, transformation, and lineage equip practitioners to implement advanced analytics solutions with agility and performance, harnessing Snowflake’s capabilities for materialized views, procedural SQL, and automated workflows. Best practices in performance tuning, query optimization, and resource governance are paired with detailed troubleshooting techniques for high-impact and cost-effective solutions. Further, the book addresses mission-critical themes such as high availability, disaster recovery, automation with Infrastructure as Code, and extensibility through APIs, Snowpark, and data marketplace integration. Real-world case studies, industry-specific blueprints, and practical lessons offer guidance for both newcomers and seasoned data engineers. "Snowflake Data Platform Engineering" is an essential resource for unlocking the full power, resilience, and innovation potential of the Snowflake ecosystem in today’s cloud-driven landscape.
Platform Engineering
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Author : Camille Fournier
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2024-10-08
Platform Engineering written by Camille Fournier and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-08 with Computers categories.
Until recently, infrastructure was the backbone of organizations operating software they developed in-house. But now that cloud vendors run the computers, companies can finally bring the benefits of agile custom-centricity to their own developers. Adding product management to infrastructure organizations is now all the rage. But how's that possible when infrastructure is still the operational layer of the company? This practical book guides engineers, managers, product managers, and leaders through the shifts required to become a modern platform-led organization. You'll learn what platform engineering is "and isn't" and what benefits and value it brings to developers and teams. You'll understand what it means to approach your platform as a product and learn some of the most common technical and managerial barriers to success. With this book, you'll: Cultivate a platform-as-product, developer-centric mindset Learn what platform engineering teams are and are not Start the process of adopting platform engineering within your organization Discover what it takes to become a product manager for a platform team Understand the challenges that emerge when you scale platforms Automate processes and self-service infrastructure to speed development and improve developer experience Build out, hire, manage, and advocate for a platform team
Mastering Enterprise Platform Engineering
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Author : Mark Peters
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-06-27
Mastering Enterprise Platform Engineering written by Mark Peters and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-27 with Computers categories.
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.
Concurrent Engineering In Construction Projects
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Author : Chimay Anumba
language : en
Publisher: Routledge
Release Date : 2006-09-27
Concurrent Engineering In Construction Projects written by Chimay Anumba and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-09-27 with Business & Economics categories.
Concurrent Engineering (CE) is a systematic approach to the integrated and concurrent design of products and related processes, which offers considerable potential for increasing efficiency and effectiveness by considering all the elements of a building or structure over its life cycle, and including issues of quality, cost, schedule, and user requirements. This book presents latest research on the implementation of Concurrent Engineering in construction projects.
Ework And Ebusiness In Architecture Engineering And Construction
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Author : Z. Turk
language : en
Publisher: CRC Press
Release Date : 2002-01-01
Ework And Ebusiness In Architecture Engineering And Construction written by Z. Turk and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-01-01 with Technology & Engineering categories.
This is a comprehensive review of research related to construction informatics, with a particular focus on the related 5th framework EU projects on product and process technology and the implementation of the new economy technologies and business models in the construction industry.
Multi Cloud Strategy For Cloud Architects
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Author : Jeroen Mulder
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-04-27
Multi Cloud Strategy For Cloud Architects written by Jeroen Mulder and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-27 with Computers categories.
Solve the complexity of running a business in a multi-cloud environment with practical guidelines backed by industry experience. Purchase of the print or Kindle book includes a free eBook in PDF format. Key Features Explore the benefits of the major cloud providers to make better informed decisions Accelerate digital transformation with multi-cloud, including the use of PaaS and SaaS concepts Get the best out of multi-cloud by exploring relevant use cases for data platforms and IoT Unlock insights into top 5 cloud providers in one book - Azure, AWS, GCP, OCI, and Alibaba Cloud Book Description Are you ready to unlock the full potential of your enterprise with the transformative power of multi-cloud adoption? As a cloud architect, you understand the challenges of navigating the vast array of cloud services and moving data and applications to public clouds. But with 'Multi-Cloud Strategy for Cloud Architects, Second Edition', you'll gain the confidence to tackle these complexities head-on. This edition delves into the latest concepts of BaseOps, FinOps, and DevSecOps, including the use of the DevSecOps Maturity Model. You'll learn how to optimize costs and maximize security using the major public clouds - Azure, AWS, and Google Cloud. Examples of solutions by the increasingly popular Oracle Cloud Infrastructure (OCI) and Alibaba Cloud have been added in this edition. Plus, you will discover cutting-edge ideas like AIOps and GreenOps. With practical use cases, including IoT, data mining, Web3, and financial management, this book empowers you with the skills needed to develop, release, and manage products and services in a multi-cloud environment. By the end of this book, you'll have mastered the intricacies of multi-cloud operations, financial management, and security. Don't miss your chance to revolutionize your enterprise with multi-cloud adoption. What you will learn Choose the right cloud platform with the help of use cases Master multi-cloud concepts, including IaC, SaaS, PaaS, and CaC Use the techniques and tools offered by Azure, AWS, and GCP to integrate security Maximize cloud potential with Azure, AWS, and GCP frameworks for enterprise architecture Use FinOps to define cost models and optimize cloud costs with showback and chargeback Who this book is for Cloud architects, solutions architects, enterprise architects, and cloud consultants will find this book valuable. Basic knowledge of any one of the major public clouds (Azure, AWS, or GCP) will be helpful.
Architecture Modernization
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Author : Nick Tune
language : en
Publisher: Simon and Schuster
Release Date : 2024-02-20
Architecture Modernization written by Nick Tune and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-20 with Computers categories.
The decisions you make about your software are inherently connected to the decisions you make about your business. Why not turn the mundane task of modernizing legacy systems into a transformative process for your entire company? This book shows you how! It reveals a socio-technical approach to align your software and products with organizational dynamics and ways of working. Architecture modernization: socio-technical alignment of software, strategy, and structure presents a clear path of upgrading your entire organization when you re-imagine your software. In it, you'll learn to combine practices like Domain-Driven Design, Event Storming, and Wardley Mapping to discover user needs, design optimal architecture, and avoid falling back into old habits. Provocative examples from Danske, Salesforce, the UK Government, and others show the real-world result of each approach, identifying techniques you can apply effectively in your own business.
Datahub Engineering And Architecture Reference
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Author : William Smith
language : en
Publisher: HiTeX Press
Release Date : 2025-07-24
Datahub Engineering And Architecture Reference written by William Smith and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-24 with Computers categories.
"DataHub Engineering and Architecture Reference" The "DataHub Engineering and Architecture Reference" is an authoritative guide for architects, engineers, and technical leaders seeking a comprehensive understanding of DataHub, the open-source metadata platform shaping the modern data landscape. Beginning with foundational concepts, this book explores the evolution of DataHub, positioning it among both open-source and commercial metadata management solutions. Through in-depth discussions of metadata modeling, data catalogs, and key architectural drivers, readers gain a deep appreciation of DataHub’s unique contributions to metadata ecosystems and the vibrant community driving its open standards. The coverage extends to the architectural heart of DataHub, meticulously dissecting its distributed, service-oriented design, asynchronous event-driven patterns, and scalable deployment modalities. Practical engineering insights are offered across metadata modeling, custom extensions, ingestion frameworks, API surfaces, and integration strategies that support hybrid and extensible deployments. Readers are provided detailed guidance on implementing lineage, ownership, classification, and graph-enriched metadata structures, as well as robust strategies for cross-system federation and real-time data ingestion. Rounding out the reference, the book delivers expert guidance in critical operational areas, including security and compliance, performance optimization, reliability engineering, and DevOps practices. It offers best practices for deploying, monitoring, and scaling DataHub, integrating security controls, orchestrating resilient ingestion pipelines, and supporting enterprise-grade governance and observability requirements. The volume concludes by exploring advanced architectures—such as data mesh, MLOps integration, and metadata-driven automation—and situates DataHub within a rapidly evolving vendor and community landscape, making this an indispensable resource for those shaping the future of data platforms.
Cloud First Data Engineering Architecting Scalable Pipelines And Analytics With Aws 2025
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Author : Author:1- PEEYUSH PATEL Author:2 -DR. MANMOHAN SHARMA
language : en
Publisher: YASHITA PRAKASHAN PRIVATE LIMITED
Release Date :
Cloud First Data Engineering Architecting Scalable Pipelines And Analytics With Aws 2025 written by Author:1- PEEYUSH PATEL Author:2 -DR. MANMOHAN SHARMA and has been published by YASHITA PRAKASHAN PRIVATE LIMITED this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Author:1- PEEYUSH PATEL Author:2 -DR. MANMOHAN SHARMA ISBN - 978-93-6788-817-9 Preface In today’s digital economy, organizations generate more data in a single day than many legacy systems could process in years. The shift to cloud-first architectures has transformed how we collect, store, and analyze information—enabling businesses to respond faster to market changes, scale without upfront hardware investments, and foster innovation across teams. This book, Cloud-First Data Engineering: Architecting Scalable Pipelines and Analytics with AWS, is written for data engineers, architects, and technical leaders who seek to design robust, high-performing data platforms using Amazon Web Services. Over the past decade, AWS has introduced a rich portfolio of data services—ranging from serverless ETL (AWS Glue) and streaming solutions (Kinesis, MSK) to petabyte-scale analytics (Redshift, Athena) and machine learning integrations (SageMaker). Yet, with such breadth comes complexity: selecting the right components, designing for cost efficiency, maintaining security and compliance, and ensuring operational excellence are constant challenges. This book distills best practices, architectural patterns, and real-world examples into a cohesive roadmap. You will learn how to build end-to-end pipelines that evolve with your data volume, implement modern data Lakehouse strategies, enable real-time insights, and incorporate governance at every layer. Chapters progress from foundational concepts—such as cloud-first paradigms and core AWS data services—to advanced topics like Data Mesh, serverless Lakehouse’s, generative AI for data quality, and emerging roles in data organization. Each section demystifies the trade-offs, illustrates implementation steps, and highlights pitfalls to avoid. Whether you are migrating legacy workloads, optimizing existing pipelines, or pioneering new analytics capabilities, this book serves as both a practical guide and strategic playbook to navigate the ever-changing landscape of cloud data engineering on AWS. Authors