| cloud engineering team structure: Team Topologies Matthew Skelton, Manuel Pais, 2019-09-17 Effective software teams are essential for any organization to deliver value continuously and sustainably. But how do you build the best team organization for your specific goals, culture, and needs? Team Topologies is a practical, step-by-step, adaptive model for organizational design and team interaction based on four fundamental team types and three team interaction patterns. It is a model that treats teams as the fundamental means of delivery, where team structures and communication pathways are able to evolve with technological and organizational maturity. In Team Topologies, IT consultants Matthew Skelton and Manuel Pais share secrets of successful team patterns and interactions to help readers choose and evolve the right team patterns for their organization, making sure to keep the software healthy and optimize value streams. Team Topologies is a major step forward in organizational design for software, presenting a well-defined way for teams to interact and interrelate that helps make the resulting software architecture clearer and more sustainable, turning inter-team problems into valuable signals for the self-steering organization. |
| cloud engineering team structure: Chaos Engineering Casey Rosenthal, Nora Jones, 2020-04-06 As more companies move toward microservices and other distributed technologies, the complexity of these systems increases. You can't remove the complexity, but through Chaos Engineering you can discover vulnerabilities and prevent outages before they impact your customers. This practical guide shows engineers how to navigate complex systems while optimizing to meet business goals. Two of the field's prominent figures, Casey Rosenthal and Nora Jones, pioneered the discipline while working together at Netflix. In this book, they expound on the what, how, and why of Chaos Engineering while facilitating a conversation from practitioners across industries. Many chapters are written by contributing authors to widen the perspective across verticals within (and beyond) the software industry. Learn how Chaos Engineering enables your organization to navigate complexity Explore a methodology to avoid failures within your application, network, and infrastructure Move from theory to practice through real-world stories from industry experts at Google, Microsoft, Slack, and LinkedIn, among others Establish a framework for thinking about complexity within software systems Design a Chaos Engineering program around game days and move toward highly targeted, automated experiments Learn how to design continuous collaborative chaos experiments |
| cloud engineering team structure: Google Cloud Professional Data Engineer , 2024-10-26 Designed for professionals, students, and enthusiasts alike, our comprehensive books empower you to stay ahead in a rapidly evolving digital world. * Expert Insights: Our books provide deep, actionable insights that bridge the gap between theory and practical application. * Up-to-Date Content: Stay current with the latest advancements, trends, and best practices in IT, Al, Cybersecurity, Business, Economics and Science. Each guide is regularly updated to reflect the newest developments and challenges. * Comprehensive Coverage: Whether you're a beginner or an advanced learner, Cybellium books cover a wide range of topics, from foundational principles to specialized knowledge, tailored to your level of expertise. Become part of a global network of learners and professionals who trust Cybellium to guide their educational journey. www.cybellium.com |
| cloud engineering team structure: Cloud Computing Thomas Erl, Ricardo Puttini, Zaigham Mahmood, 2013-05-02 Clouds are distributed technology platforms that leverage sophisticated technology innovations to provide highly scalable and resilient environments that can be remotely utilized by organizations in a multitude of powerful ways. To successfully build upon, integrate with, or even create a cloud environment requires an understanding of its common inner mechanics, architectural layers, and models, as well as an understanding of the business and economic factors that result from the adoption and real-world use of cloud-based services. In Cloud Computing: Concepts, Technology & Architecture, Thomas Erl, one of the world’s top-selling IT authors, teams up with cloud computing experts and researchers to break down proven and mature cloud computing technologies and practices into a series of well-defined concepts, models, technology mechanisms, and technology architectures, all from an industry-centric and vendor-neutral point of view. In doing so, the book establishes concrete, academic coverage with a focus on structure, clarity, and well-defined building blocks for mainstream cloud computing platforms and solutions. Subsequent to technology-centric coverage, the book proceeds to establish business-centric models and metrics that allow for the financial assessment of cloud-based IT resources and their comparison to those hosted on traditional IT enterprise premises. Also provided are templates and formulas for calculating SLA-related quality-of-service values and numerous explorations of the SaaS, PaaS, and IaaS delivery models. With more than 260 figures, 29 architectural models, and 20 mechanisms, this indispensable guide provides a comprehensive education of cloud computing essentials that will never leave your side. |
| cloud engineering team structure: Platform Engineering Camille Fournier, Ian Nowland, 2024-10-08 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 that modern platform-led organizations require. 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 a 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 |
| cloud engineering team structure: Technology Operating Models for Cloud and Edge Ahilan Ponnusamy, Andreas Spanner, 2023-08-11 Align your operating model with your organization's goals and enable leadership, culture, engineering, and operations to tame the complexities of the distributed future Purchase of the print or Kindle book includes a free PDF eBook Key Features Get hands-on with creating your operating model across on-premises, cloud, and edge Learn how to group, construct, and scope operating model dimensions Tackle operating model complexities like architecture, stakeholder management, platform operations, compliance, security, and technology selection Book DescriptionCloud goals, such as faster time to market, lower total cost of ownership (TCO), capex reduction, self-service enablement, and complexity reduction are important, but organizations often struggle to achieve the desired outcomes. With edge computing gaining momentum across industries and making it possible to move workloads seamlessly between cloud and edge locations, organizations need working recipes to find ways of extracting the most value out of their cloud and edge estate. This book provides a practical way to build a strategy-aligned operating model while considering various related factors such as culture, leadership, team structures, metrics, intrinsic motivators, team incentives, tenant experience, platform engineering, operations, open source, and technology choices. Throughout the chapters, you’ll discover how single, hybrid, or multicloud architectures, security models, automation, application development, workload deployments, and application modernization can be reutilized for edge workloads to help you build a secure yet flexible technology operating model. The book also includes a case study which will walk you through the operating model build process in a step-by-step way. By the end of this book, you’ll be able to build your own fit-for-purpose distributed technology operating model for your organization in an open culture way.What you will learn Get a holistic view of technology operating models and linked organization goals, strategy, and teams Overcome challenges of extending tech operating models to distributed cloud and edge environments Discover key architectural considerations in building operating models Explore the benefits of using enterprise-ready open-source products Understand how open hybrid cloud and modern dev and ops practices improve outcomes Who this book is forIf you are a cloud architect, solutions architect, DevSecOps or platform engineering manager, CTO, CIO, or IT decision maker tasked with leading cloud and edge computing initiatives, creating architectures and enterprise capability models, aligning budgets, or showing your board the value of your technology investments, then this book is for you. Prior knowledge of cloud computing, application development, and edge computing concepts will help you get the most out of this book. |
| cloud engineering team structure: Engineering Data Mesh in Azure Cloud Aniruddha Deswandikar, 2024-03-29 Overcome data mesh adoption challenges using the cloud-scale analytics framework and make your data analytics landscape agile and efficient by using standard architecture patterns for diverse analytical workloads Key Features Delve into core data mesh concepts and apply them to real-world situations Safely reassess and redesign your framework for seamless data mesh integration Conquer practical challenges, from domain organization to building data contracts Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionDecentralizing data and centralizing governance are practical, scalable, and modern approaches to data analytics. However, implementing a data mesh can feel like changing the engine of a moving car. Most organizations struggle to start and get caught up in the concept of data domains, spending months trying to organize domains. This is where Engineering Data Mesh in Azure Cloud can help. The book starts by assessing your existing framework before helping you architect a practical design. As you progress, you’ll focus on the Microsoft Cloud Adoption Framework for Azure and the cloud-scale analytics framework, which will help you quickly set up a landing zone for your data mesh in the cloud. The book also resolves common challenges related to the adoption and implementation of a data mesh faced by real customers. It touches on the concepts of data contracts and helps you build practical data contracts that work for your organization. The last part of the book covers some common architecture patterns used for modern analytics frameworks such as artificial intelligence (AI). By the end of this book, you’ll be able to transform existing analytics frameworks into a streamlined data mesh using Microsoft Azure, thereby navigating challenges and implementing advanced architecture patterns for modern analytics workloads.What you will learn Build a strategy to implement a data mesh in Azure Cloud Plan your data mesh journey to build a collaborative analytics platform Address challenges in designing, building, and managing data contracts Get to grips with monitoring and governing a data mesh Understand how to build a self-service portal for analytics Design and implement a secure data mesh architecture Resolve practical challenges related to data mesh adoption Who this book is for This book is for chief data officers and data architects of large and medium-size organizations who are struggling to maintain silos of data and analytics projects. Data architects and data engineers looking to understand data mesh and how it can help their organizations democratize data and analytics will also benefit from this book. Prior knowledge of managing centralized analytical systems, as well as experience with building data lakes, data warehouses, data pipelines, data integrations, and transformations is needed to get the most out of this book. |
| cloud engineering team structure: Multi-Cloud Handbook for Developers Subash Natarajan, Jeveen Jacob, 2024-02-29 Explore proven techniques and best practices for designing, deploying, and managing cloud-native applications in multi-cloud environments with the help of real-world examples, success stories, and emerging technologies Key Features Discover optimal solutions in multi-cloud environments using AWS, Azure, and GCP tools and technologies Excel in designing, developing, and securing cloud-native apps with Docker, Kubernetes, and Istio Learn design patterns, cost optimization, best practices, and pitfalls to avoid in multi-cloud apps Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionUnleash the power of cloud computing with Multi-Cloud Handbook for Developers, your guide to mastering the nuances of cloud-native and multi-cloud, covering practical strategies for design, development, and management. Explore the essential concepts, challenges, and methodologies critical for navigating the complex landscape of modern cloud computing. Using core architectural and design principles (such as microservices and 12-factor architecture) and advanced strategies (such as distributed application design patterns, domain-driven design (DDD), and API-first strategies), you’ll learn how to build portable and efficient apps across various cloud platforms. You’ll understand how to leverage Infrastructure as Code (IaC), continuous integration and deployment (CI/CD), GitOps, and DevOps practices, along with containerization and orchestration techniques using Docker and Kubernetes. You’ll also get to grips with data, security, compliance, and cloud cost management strategies in multi-cloud environments. With real-world case studies, best practices, and insights into future trends, this book will equip you with the skills to develop, manage, troubleshoot, and innovate cloud-native applications across diverse cloud platforms, positioning you at the forefront of the cloud computing revolution.What you will learn Understand the core structures and implications of cloud-native and multi-cloud apps Explore key principles and patterns to build agile, scalable, and future-proof apps Master cloud-native essentials: service mesh, DDD, and API-centric approaches Implement deployment pipelines with advanced IaC, CI/CD, DevSecOps, and GitOps techniques Manage and monitor data, security, compliance, and identity access in multi-cloud scenarios Optimize your cloud costs with shift-left and FinOps practices Get ready for the future of cloud-native and multi-cloud technology Who this book is for Ideal for cloud-native and cloud developers, platform engineers, software architects, and IT professionals focused on building and managing cloud-native applications in multi-cloud environments, this book is an indispensable guide for students and researchers seeking insights into cloud-native concepts and multi-cloud architectures. A basic understanding of cloud computing, contemporary software development, system design, and cloud platforms such as AWS, Azure, and GCP, will prove useful. |
| cloud engineering team structure: Software Engineering Frameworks for the Cloud Computing Paradigm Zaigham Mahmood, Saqib Saeed, 2013-04-19 This book presents the latest research on Software Engineering Frameworks for the Cloud Computing Paradigm, drawn from an international selection of researchers and practitioners. The book offers both a discussion of relevant software engineering approaches and practical guidance on enterprise-wide software deployment in the cloud environment, together with real-world case studies. Features: presents the state of the art in software engineering approaches for developing cloud-suitable applications; discusses the impact of the cloud computing paradigm on software engineering; offers guidance and best practices for students and practitioners; examines the stages of the software development lifecycle, with a focus on the requirements engineering and testing of cloud-based applications; reviews the efficiency and performance of cloud-based applications; explores feature-driven and cloud-aided software design; provides relevant theoretical frameworks, practical approaches and future research directions. |
| cloud engineering team structure: Cloud Foundry: The Definitive Guide Duncan C. E. Winn, 2017-05-24 How can Cloud Foundry help you develop and deploy business-critical applications and tasks with velocity? This practical guide demonstrates how this open source, cloud-native application platform not only significantly reduces the develop-to-deploy cycle time, but also raises the value line for application operators by changing the way applications and supporting services are deployed and run. Learn how Cloud Foundry can help you improve your product velocity by handling many of essential tasks required to run applications in production. Author Duncan Winn shows DevOps and operations teams how to configure and run Cloud Foundry at scale. You’ll examine Cloud Foundry’s technical concepts—including how various platform components interrelate—and learn how to choose your underlying infrastructure, define the networking architecture, and establish resiliency requirements. This book covers: Cloud-native concepts that make the app build, test, deploy, and scale faster How to deploy Cloud Foundry and the BOSH release engineering toolchain Concepts and components of Cloud Foundry’s runtime architecture Cloud Foundry’s routing mechanisms and capabilities The platform’s approach to container tooling and orchestration BOSH concepts, deployments, components, and commands Basic tools and techniques for debugging the platform Recent and soon-to-emerge features of Cloud Foundry |
| cloud engineering team structure: The Ultimate Modern Guide to Cloud Computing: Everything from Cloud Adoption to Business Value Creation Enamul Haque, 2020-07-23 CLOUD COMPUTING ADOPTION TO VALUE CREATING A more straightforward guide for a more competent shift Your Complete Guide to Cloud Computing and Migrating to the Cloud. This book covers the technical details of how public and private cloud technology works and the strategy, technical design, and in-depth implementation details required to migrate existing applications to the cloud. After reading this book, you will have a much better understanding of cloud technology and the steps needed to quickly reap its benefits while at the same time lowering your IT implementation risk. Written by a proven expert in cloud computing, business management, network engineering, and IT security. This is a must-read for IT management, CIOs, senior IT engineers, and program managers in the government, DoD, and commercial sectors. Table of Contents Fundamental Cloud Computing Understanding Cloud Computing Fundamental Concepts and Models Cloud-Enabling Technology Fundamental Cloud Security Cloud Computing Mechanisms Cloud Infrastructure Mechanism Specialised Cloud Mechanisms Cloud Management Mechanisms Cloud Security Mechanisms Cloud Computing Architecture Fundamental Cloud Architectures Advanced Cloud Architectures Specialise Cloud Architectures Working with Clouds Cloud Delivery Model Considerations Cost Metrics and Pricing Models Service Quality Metrics and SLAs |
| cloud engineering team structure: 97 Things Every Cloud Engineer Should Know Emily Freeman, Nathen Harvey, 2020-12-04 If you create, manage, operate, or configure systems running in the cloud, you're a cloud engineer--even if you work as a system administrator, software developer, data scientist, or site reliability engineer. With this book, professionals from around the world provide valuable insight into today's cloud engineering role. These concise articles explore the entire cloud computing experience, including fundamentals, architecture, and migration. You'll delve into security and compliance, operations and reliability, and software development. And examine networking, organizational culture, and more. You're sure to find 1, 2, or 97 things that inspire you to dig deeper and expand your own career. Three Keys to Making the Right Multicloud Decisions, Brendan O'Leary Serverless Bad Practices, Manases Jesus Galindo Bello Failing a Cloud Migration, Lee Atchison Treat Your Cloud Environment as If It Were On Premises, Iyana Garry What Is Toil, and Why Are SREs Obsessed with It?, Zachary Nickens Lean QA: The QA Evolving in the DevOps World, Theresa Neate How Economies of Scale Work in the Cloud, Jon Moore The Cloud Is Not About the Cloud, Ken Corless Data Gravity: The Importance of Data Management in the Cloud, Geoff Hughes Even in the Cloud, the Network Is the Foundation, David Murray Cloud Engineering Is About Culture, Not Containers, Holly Cummins |
| cloud engineering team structure: Cloud Computing – CLOUD 2022 Kejiang Ye, Liang-Jie Zhang, 2022-12-13 This book constitutes the proceedings of the 15th International Conference on Cloud Computing, CLOUD 2022, held as part of the Services Conference Federation, SCF 2022, held in Honolulu, HI, USA, in December 2022. The 8 full papers and 1 short paper presented in this volume were carefully reviewed and selected from 15 submissions. The International Conference on Cloud Computing (CLOUD) has been a prime international forum for both researchers and industry practitioners to exchange the latest fundamental advances in the state of the art and practice of cloud computing, identify emerging research topics, and define the future of cloud computing. All topics regarding cloud computing align with the theme of CLOUD. |
| cloud engineering team structure: FinOps : RoadMap to Cloud Efficiency Navin Sabharwal, Piyush Pandey, Amit Aggarwal, 2022-10-21 Accelerate Business Value Realization and Drive Financial Accountability for Cloud Infrastructure KEY FEATURES ● In-depth knowledge of establishing and operating the FinOps model. ● A collection of use cases examining the adoption and benefits of FinOps. ● Includes Cloud cost optimization solutions such as waste elimination, appropriate sizing, and purchasing strategy. DESCRIPTION FinOps is a novel cloud operating model that uses interdisciplinary teams to manage cloud expenditures in concert. With the help of the tools, best practices, and culture introduced in this book, businesses can analyze cloud expenses and make strategic decisions in a better way. The book's ultimate objective is to teach companies how to establish a reasonable cost, speed, and quality balance in the cloud. The book begins with an overview of why FinOps exists, the problems it solves, the principles it is based on, and how it fits into the history of financial management. The subsequent chapters of this book explain the three stages—inform, optimize, and operate—and the best methods to use in each stage. The book then explains in depth, with examples, how to maximize efficiency while minimizing expenses for each of the three major public cloud providers: Google, Amazon, and Microsoft. The book also covers cost optimization techniques for the public cloud, FinOps operations management, cloud cost visibility, and forecasting. WHAT YOU WILL LEARN ● Highlights of the evolution and demand of FinOps by prominent organizations. ● Learn the ins and outs of the cloud billing system. ● Utilization of regression methods to extract insights from the FinOps data. ● Gain a thorough understanding of running all the FinOps processes. ● Investigate and test several ways to optimize your cloud spending. ● Learn about the various cloud benefits provided by Azure, AWS, and GCP. WHO THIS BOOK IS FOR If you are a finance, DevOps, or IT professional looking to collaborate on decision-making and cost control in the overall cloud financial operations, this is the only knowledge book you need. In addition, multiple teams, including Procurement, Service Delivery, and Platform Engineering, can read this book to inspire curiosity and exploration. TABLE OF CONTENTS 1. Introduction to FinOps 2. Inform Phase of FinOps Lifecycle 3. Optimize Phase of FinOps Lifecycle 4. Cost Optimization Techniques for AWS 5. Cost Optimization Techniques for Azure 6. Cost Optimization Techniques for GCP 7. Leveraging Algorithms for Analyzing FinOps Data 8. Managing FinOps Operations |
| cloud engineering team structure: Successful Management of Cloud Computing and DevOps Alka Jarvis, Jose Johnson, Prakash Ananad, 2022-05-20 The rapid pace of technology often catches organizations unprepared and unable to take advantage of every leading-edge benefit. Cloud technology allows forward-thinking companies to launch products and services rapidly, control costs, streamline processes, and mitigate risks—when done correctly. This book addresses technological basics, as well as practical steps for implementing and fitting the cloud into your overall business strategy—which ultimately benefits your bottom line in delivering the best possible product and services to customers quickly. Capitalizing on their collective years of experience working in Silicon Valley, authors Jarvis, Anand, and Jose share best practices for adopting the cloud, including: ■ Calculating cloud usage and crafting a cost management strategy ■ Breaking down the total cost of ownership (TCO) ■ Optimizing DevOps practices for the cloud ■ Understanding the challenges and risks involved with cloud migration and security Armed with step-by-step guidance, you can generate a plan of action to meet and exceed your cloud management goals. |
| cloud engineering team structure: The Site Reliability Workbook Betsy Beyer, Niall Richard Murphy, David K. Rensin, Kent Kawahara, Stephen Thorne, 2018-07-25 In 2016, Googleâ??s Site Reliability Engineering book ignited an industry discussion on what it means to run production services todayâ??and why reliability considerations are fundamental to service design. Now, Google engineers who worked on that bestseller introduce The Site Reliability Workbook, a hands-on companion that uses concrete examples to show you how to put SRE principles and practices to work in your environment. This new workbook not only combines practical examples from Googleâ??s experiences, but also provides case studies from Googleâ??s Cloud Platform customers who underwent this journey. Evernote, The Home Depot, The New York Times, and other companies outline hard-won experiences of what worked for them and what didnâ??t. Dive into this workbook and learn how to flesh out your own SRE practice, no matter what size your company is. Youâ??ll learn: How to run reliable services in environments you donâ??t completely controlâ??like cloud Practical applications of how to create, monitor, and run your services via Service Level Objectives How to convert existing ops teams to SREâ??including how to dig out of operational overload Methods for starting SRE from either greenfield or brownfield |
| cloud engineering team structure: Service-Oriented and Cloud Computing George A. Papadopoulos, Florian Rademacher, Jacopo Soldani, 2023-11-12 This book constitutes the constitutes the refereed proceedings of the 10th IFIP WG 6.12 European Conference on Service-Oriented and Cloud Computing , ESOCC 2023, held in Larnaca, Cyprus, during October 24–26, 2023. The 12 full papers and 4 short papers included in this book were carefully reviewed and selected from 40 submissions. They were organized in topical sections as follows: Microservices; Quality of Service; Service Orchestration; Edge Computing; PhD Symposium; and Industry Projects Track. |
| cloud engineering team structure: Cloud FinOps J.R. Storment, Mike Fuller, 2023-01-19 FinOps brings financial accountability to the variable spend model of cloud. Used by the majority of global enterprises, this management practice has grown from a fringe activity to the de facto discipline managing cloud spend. In this book, authors J.R. Storment and Mike Fuller outline the process of building a culture of cloud FinOps by drawing on real-world successes and failures of large-scale cloud spenders. Engineering and finance teams, executives, and FinOps practitioners alike will learn how to build an efficient and effective FinOps machine for data-driven cloud value decision-making. Complete with a road map to get you started, this revised second edition includes new chapters that cover forecasting, sustainability, and connectivity to other frameworks. You'll learn: The DNA of a highly functional cloud FinOps culture A road map to build executive support for FinOps adoption How to understand and forecast your cloud spending How to empower engineering and finance to work together Cost allocation strategies to create accountability for cloud and container spend Strategies for rate discounts from cloud commitments When and how to implement automation of repetitive cost tasks How to empower engineering team action on cost efficiency |
| cloud engineering team structure: The Self-Taught Cloud Computing Engineer Dr. Logan Song, 2023-09-22 Transform into a cloud-savvy professional by mastering cloud technologies through hands-on projects and expert guidance, paving the way for a thriving cloud computing career Key Features Learn all about cloud computing at your own pace with this easy-to-follow guide Develop a well-rounded skill set, encompassing fundamentals, data, machine learning, and security Work on real-world industrial projects and business use cases, and chart a path for your personal cloud career advancement Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThe Self-Taught Cloud Computing Engineer is a comprehensive guide to mastering cloud computing concepts by building a broad and deep cloud knowledge base, developing hands-on cloud skills, and achieving professional cloud certifications. Even if you’re a beginner with a basic understanding of computer hardware and software, this book serves as the means to transition into a cloud computing career. Starting with the Amazon cloud, you’ll explore the fundamental AWS cloud services, then progress to advanced AWS cloud services in the domains of data, machine learning, and security. Next, you’ll build proficiency in Microsoft Azure Cloud and Google Cloud Platform (GCP) by examining the common attributes of the three clouds while distinguishing their unique features. You’ll further enhance your skills through practical experience on these platforms with real-life cloud project implementations. Finally, you’ll find expert guidance on cloud certifications and career development. By the end of this cloud computing book, you’ll have become a cloud-savvy professional well-versed in AWS, Azure, and GCP, ready to pursue cloud certifications to validate your skills.What you will learn Develop the core skills needed to work with cloud computing platforms such as AWS, Azure, and GCP Gain proficiency in compute, storage, and networking services across multi-cloud and hybrid-cloud environments Integrate cloud databases, big data, and machine learning services in multi-cloud environments Design and develop data pipelines, encompassing data ingestion, storage, processing, and visualization in the clouds Implement machine learning pipelines in a multi-cloud environment Secure cloud infrastructure ecosystems with advanced cloud security services Who this book is for Whether you're new to cloud computing or a seasoned professional looking to expand your expertise, this book is for anyone in the information technology domain who aspires to thrive in the realm of cloud computing. With this comprehensive roadmap, you’ll have the tools to build a successful cloud computing career. |
| cloud engineering team structure: Mastering Cloud-Native Microservices Chetan Walia, 2023-06-14 Get familiar with the principles and techniques for designing cost-effective and scalable cloud-native apps with microservices KEY FEATURES ● Gain a comprehensive understanding of the key concepts and strategies involved in building successful cloud-native microservices applications. ● Discover the practical techniques and methodologies for implementing cloud-native microservices. ● Get insights and best practices for implementing cloud-native microservices. DESCRIPTION Microservices-based cloud-native applications are software applications that combine the architectural principles of microservices with the advantages of cloud-native infrastructure and services. If you want to build scalable, resilient, and agile software solutions that can adapt to the dynamic needs of the modern digital landscape, then this book is for you. This comprehensive guide explores the world of cloud-native microservices and their impact on modern application design. The book covers fundamental principles, adoption frameworks, design patterns, and communication strategies specific to microservices. It then emphasizes on the benefits of scalability, fault tolerance, and resource utilization. Furthermore, the book also addresses event-driven data management, serverless approaches, and security by design. All in all, this book is an essential resource that will help you to leverage the power of microservices in your cloud-native applications. By the end of the book, you will gain valuable insights into building scalable, resilient, and future-proof applications in the era of digital transformation. WHAT YOU WILL LEARN ● Gain insight into the fundamental principles and frameworks that form the foundation of modern application design. ● Explore a comprehensive collection of design patterns tailored specifically for microservices architecture. ● Discover a variety of strategies and patterns to effectively facilitate communication between microservices, ensuring efficient collaboration within the system. ● Learn about event-driven data management techniques that enable real-time processing and efficient handling of data in a distributed microservices environment. ● Understand the significance of security-by-design principles and acquire strategies for ensuring the security of microservices architectures. WHO THIS BOOK IS FOR This book is suitable for cloud architects, developers, and practitioners who are interested in learning about design patterns and strategies for building, testing, and deploying cloud-native microservices. It is also valuable for techno-functional roles, solution experts, pre-sales professionals, and anyone else seeking practical knowledge of cloud-native microservices. TABLE OF CONTENTS 1. Cloud-Native Microservices 2. Modern Application Design Principles 3. Microservice Adoption Framework 4. Design Patterns for Microservices 5. Cloud-Powered Microservices 6. Monolith to Microservices Case Study 7. Inter-Service Communication 8. Event-Driven Data Management 9. The Serverless Approach 10. Cloud Microservices - Security by Design 11. Cloud Migration Strategy |
| cloud engineering team structure: Grid and Cloud Computing: Concepts, Methodologies, Tools and Applications Management Association, Information Resources, 2012-04-30 This reference presents a vital compendium of research detailing the latest case studies, architectures, frameworks, methodologies, and research on Grid and Cloud Computing-- |
| cloud engineering team structure: Learning, Design, and Technology J. Michael Spector, Barbara B. Lockee, Marcus D. Childress, 2023-11-15 The multiple, related fields encompassed by this Major Reference Work represent a convergence of issues and topics germane to the rapidly changing segments of knowledge and practice in educational communications and technology at all levels and around the globe. There is no other comparable work that is designed not only to gather vital, current, and evolving information and understandings in these knowledge segments but also to be updated on a continuing basis in order to keep pace with the rapid changes taking place in the relevant fields. The Handbook is composed of substantive (5,000 to 15,000 words), peer-reviewed entries that examine and explicate seminal facets of learning theory, research, and practice. It provides a broad range of relevant topics, including significant developments as well as innovative uses of technology that promote learning, performance, and instruction. This work is aimed at researchers, designers, developers, instructors, and other professional practitioners. |
| cloud engineering team structure: Cloud Technology: Concepts, Methodologies, Tools, and Applications Management Association, Information Resources, 2014-10-31 As the Web grows and expands into ever more remote parts of the world, the availability of resources over the Internet increases exponentially. Making use of this widely prevalent tool, organizations and individuals can share and store knowledge like never before. Cloud Technology: Concepts, Methodologies, Tools, and Applications investigates the latest research in the ubiquitous Web, exploring the use of applications and software that make use of the Internets anytime, anywhere availability. By bringing together research and ideas from across the globe, this publication will be of use to computer engineers, software developers, and end users in business, education, medicine, and more. |
| cloud engineering team structure: Azure Cloud Adoption Framework Handbook Sasa Kovacevic, Darren Dempsey, 2023-07-31 Explore the methodologies and reasons behind successful legacy application moves to a hyper-space cloud, specifically Azure Purchase of the print or Kindle book includes a free PDF eBook Key Features Discover tips and tricks to help you avoid common pitfalls and get up and running quickly Gain in-depth end-to-end knowledge of all things cloud to smoothen your learning journey Explore everything from formulating a plan to governing the cloud over the long term Book Description You've heard about the benefits of the cloud and you want to get on board, but you're not sure where to start, what services to use, or how to make sure your data is safe. Making the decision to move to the cloud can be daunting and it's easy to get overwhelmed, but if you're not careful, you can easily make mistakes that cost you time and money. Azure Cloud Adoption Framework Handbook is here to help. This guide will take you step-by-step through the process of making the switch to the Microsoft Azure cloud. You'll learn everything from foundational cloud concepts and planning workload migration through to upskilling and organization transformation. As you advance, you'll find out how to identify and align your business goals with the most suitable cloud technology options available. The chapters are designed in a way to enable you to plan for a smooth transition, while minimizing disruption to your day-to-day operations. You'll also discover how the cloud can help drive innovation in your business or enable modern software development practices such as microservices and CI/CD. Throughout the chapters, you'll see how decision makers can interact with other internal stakeholders to achieve success through the power of collaboration. By the end of this book, you'll be more informed and less overwhelmed about moving your business to the cloud. What you will learn Understand cloud adoption and digital transformation generally Get to grips with the real-world, day-to-day running of a cloud platform Discover how to plan and execute the cloud adoption journey Guide all levels of the organization through cloud adoption Innovate with the business goals in mind in a fast and agile way Become familiar with advanced topics such as cloud governance, security, and reliability Who this book is for This book provides actionable strategies for anyone looking to optimize their organization's cloud adoption journey or get back on course, from IT managers and system architects to CXOs and program managers. Whether you're an enterprise or a fledgling start-up, this handbook has everything you need to get started with your cloud journey. General IT knowledge and a basic understanding of the cloud, modern software development practices, and organizational change management concepts are all prerequisites. |
| cloud engineering team structure: Advances in Service-Oriented and Cloud Computing Maria Fazio, Wolf Zimmermann, 2020-12-04 This volume contains the technical papers presented in the workshops, which took place at the 7th European Conference on Service-Oriented and Cloud Computing, ESOCC 2018, held in Como, Italy, in September 2018:Joint Cloudways and OptiMoCS Workshop; 14th International Workshop on Engineering Service-Oriented Applications and Cloud Services. Additionally the papers from ESOCC 2018 PhD Symposium and ESOCC 2018 EU Projects Track were included in the volume. The 22 full papers were carefully reviewed and selected from 34 submissions. The papers focus on specific topics in service-oriented and cloud computing domains such as limits and/or advantages of existing cloud solutions, future internet technologies, efficient and adaptive deployment and management of service-based applications across multiple clouds, novel cloud service migration practices and solutions, digitization of enterprises in the cloud computing era, federated cloud networking services. |
| cloud engineering team structure: Cloud Security: Concepts, Methodologies, Tools, and Applications Management Association, Information Resources, 2019-04-01 Cloud computing has experienced explosive growth and is expected to continue to rise in popularity as new services and applications become available. As with any new technology, security issues continue to be a concern, and developing effective methods to protect sensitive information and data on the cloud is imperative. Cloud Security: Concepts, Methodologies, Tools, and Applications explores the difficulties and challenges of securing user data and information on cloud platforms. It also examines the current approaches to cloud-based technologies and assesses the possibilities for future advancements in this field. Highlighting a range of topics such as cloud forensics, information privacy, and standardization and security in the cloud, this multi-volume book is ideally designed for IT specialists, web designers, computer engineers, software developers, academicians, researchers, and graduate-level students interested in cloud computing concepts and security. |
| cloud engineering team structure: Become GCP Cloud Digital Leader Certified in 7 Days Abhinav Krishna Kaiser, |
| cloud engineering team structure: Proceedings of International Conference on Cloud Computing and eGovernance (ICCCEG 2012) K. Kokula Krishna Hari, Geetam Singh Tomar, E Saikishore, Tai-hoon Kim, |
| cloud engineering team structure: Get Ready for Cloud Computing - 2nd edition Fred van der Molen, 2014-01-01 The IT sector is full of hype. But once in a while there is a genuine inflection point, a moment at which the way of doing things fundamentally changes due to the introduction of new technologies. The rise of cloud computing is just such an inflection point. Cloud computing is the next stage of the Internet computing model, one in which organizations will consume services, not technologies. These services will be ready to run, available outside the office walls, and be paid for on the basis of usage, just like water or electricity. As the cloud and services model matures, not only will businesses be able to solve old problems more inexpensively and rapidly, they will also be able to address new challenges that were previously out of reach. Cloud computing promises a more flexible 'services' model for IT systems that puts the business unit or end user at the center of the process. In this way, both the IT organization and the business itself become more agile. At the same time, cloud computing promises to reduce the delivered cost of IT through a greater degree of resource utilization, automation, and self service. This will not happen overnight. It will not be next year, nor even within a year or two. But as time passes, more and more companies will find themselves in a position to be able to source services wherever they like: inside the organization or from any provider, whether it be Google, IBM, HP, EMC, Cisco, Microsoft, Amazon, T-Systems or any other cloud computing vendor. This book is a comprehensive introduction to cloud computing and its most prominent enabling technology: virtualization. In the first part, you are guided through the visions, concept and models behind cloud computing. You will learn how your organization can profit from cloud-enabling technologies and how you can incorporate them in your IT infrastructure. Part II of this book consists of 'Industry Outlooks': in depth articles from industry experts. Part III offers a series of useful case stories, covering a broad diversity of virtualization and cloud-related issues. Further to the development of this book, the development team that is responsible for the content of this book, has developed a certification program on Cloud computing, the Cloud Certification Program. This vendor-neutral Cloud Certification Program provides professionals with the opportunity to obtain globally recognized credentials in cloud computing. The CompTIA Cloud Essentials course Exam is intended for IT professionals who wish to certify that they have the required knowledge and understanding required to complete and pass the CompTIA Cloud Essentials' Exam on cloud computing. Anyone who passes this exam to obtains the CompTIA Cloud Essentials' Professional certificate. |
| cloud engineering team structure: Enterprise Cloud Strategy Barry Briggs, Eduardo Kassner, 2016-01-07 How do you start? How should you build a plan for cloud migration for your entire portfolio? How will your organization be affected by these changes? This book, based on real-world cloud experiences by enterprise IT teams, seeks to provide the answers to these questions. Here, you’ll see what makes the cloud so compelling to enterprises; with which applications you should start your cloud journey; how your organization will change, and how skill sets will evolve; how to measure progress; how to think about security, compliance, and business buy-in; and how to exploit the ever-growing feature set that the cloud offers to gain strategic and competitive advantage. |
| cloud engineering team structure: The State of Systems Engineering Adoption in the Automotive Industry Anne O'Neil, 2023-12-12 Growing levels of complexity and integration coupled with the current period of automotive innovation are necessitating the adoption of Systems approaches and Systems Engineering (SE) practices. For the automotive industry to navigate this transformative period successfully, we need Systems approaches to bridge all elements of vehicle development and engage and align all parts of the business. Yet, the industry has lagged in comprehensive SE adoption, persistently retaining organizational silos and outdated paradigms for vehicle design development teams. It still structures itself around physical components of vehicles, despite having the significant majority of functionality and features derived from software and communications. The State of Systems Engineering Adoption in the Automotive Industry captures the unresolved aspects of more comprehensively adopting Systems approaches and practices and seeks to enable industry leaders to more effectively navigate the complexity and integration challenges faced during this unprecedented period of disruptive innovation and change. Click here to access the full SAE EDGETM Research Report portfolio. https://doi.org/10.4271/EPR2023030 |
| cloud engineering team structure: Strategic International Management Dirk Morschett, Hanna Schramm-Klein, Joachim Zentes, 2015-01-27 A compact overview of the most relevant concepts and developments in International Management. The various strategy concepts of internationally active companies and their implementation in practice are the core of this book. The authors describe the particularities of international value chain activities and management functions and offer a thorough understanding of how Production & Sourcing, Research & Development, Marketing, Human Resource Management and Controlling have to be designed in an international company and what models are available to understand those activities in an international context. In 23 lessons, a comprehensive overview of all key issues is given. Each lesson is accompanied by a case study from an international company to facilitate the understanding of all important factors involved in strategic international management. In this third edition, all chapters have been updated, all case studies revised, new chapters and recent data were integrated. |
| cloud engineering team structure: Requirements Engineering for Service and Cloud Computing Muthu Ramachandran, Zaigham Mahmood, 2017-04-10 This authoritative text/reference describes the state of the art in requirements engineering for software systems for distributed computing. A particular focus is placed on integrated solutions, which take into account the requirements of scalability, flexibility, sustainability and operability for distributed environments. Topics and features: discusses the latest developments, tools, technologies and trends in software requirements engineering; reviews the relevant theoretical frameworks, practical approaches and methodologies for service requirements; examines the three key components of the requirements engineering process, namely requirements elicitation, requirements specification, and requirements validation and evaluation; presents detailed contributions from an international selection of highly reputed experts in the field; offers guidance on best practices, and suggests directions for further research in the area. |
| cloud engineering team structure: Strategizing Continuous Delivery in the Cloud Garima Bajpai, Thomas Schuetz, 2023-08-18 Discover various cloud services alongside modern software development practices and tools with the guidance of two industry leaders in DevOps Purchase of the print or Kindle book includes a free PDF eBook Key Features Modernize continuous delivery in the cloud with strategic goals and objectives Master continuous delivery with the right tools, applications, and use cases Perform multi-cluster and multi-cloud deployments efficiently Book DescriptionMany organizations are embracing cloud technology to remain competitive, but implementing and adopting development processes while modernizing a cloud-based ecosystem can be challenging. Strategizing Continuous Delivery in Cloud helps you modernize continuous delivery and achieve infrastructure-application convergence in the cloud. You’ll learn the differences between cloud-based and traditional delivery approaches and develop a tailored strategy. You’ll discover how to secure your cloud delivery environment, ensure software security, run different test types, and test in the pre-production and production stages. You’ll also get to grips with the prerequisites for onboarding cloud-based continuous delivery for organizational and technical aspects. Then, you’ll explore key aspects of readiness to overcome core challenges in your cloud journey, including GitOps, progressive delivery controllers, feature flagging, differences between cloud-based and traditional tools, and implementing cloud chaos engineering. By the end of this book, you’ll be well-equipped to select the right cloud environment and technologies for CD and be able to explore techniques for implementing CD in the cloud.What you will learn Uncover the foundation for modernizing continuous delivery and prepare for continuous delivery in cloud Build fast, efficient, secure, and interoperable software for real-world results Understand end-to-end continuous delivery for multi-cloud, hybrid, and on-premise Set up and scale continuous delivery in the cloud for maximum return Implement cost optimization for continuous delivery in the cloud Discover trends and advancements in CD with cloud-native technologies Who this book is forThis book is for developers, site reliability engineers, DevOps architects, and engineers looking to strategize, plan, and implement continuous delivery in the cloud. You must have a basic understanding of CI/CD concepts and be familiar with cloud ecosystem, DevOps, or CI/CD pipelines. |
| cloud engineering team structure: Cloud-based Intelligent Informative Engineering for Society 5.0 Kaushal Kishor, Neetesh Saxena, Dilkeshwar Pandey, 2023-04-05 Cloud-based Intelligent Informative Engineering for Society 5.0 is a model for the dissemination of cutting-edge technological innovation and assistive devices for people with physical impairments. This book showcases Cloud-based, high-performance Information systems and Informatics-based solutions for the verification of the information support requirements of the modern engineering, healthcare, modern business, organization, and academic communities. Features: Includes broad variety of methodologies and technical developments to improve research in informative engineering Explore the Internet of Things (IoT), blockchain technology, deep learning, data analytics, and cloud Highlight Cloud-based high-performance Information systems and Informatics-based solutions This book is beneficial for graduate students and researchers in computer sciences, cloud computing and related subject areas. |
| cloud engineering team structure: Project Management in Cloud Applications Pramod Chandra P. Bhatt, |
| cloud engineering team structure: Cloud Computing - Advanced Business and IT Approaches to Extract Tangible Value from Cloud Philippe Abdoulaye, 2014-01-31 The CIO's essential manual to leveraging cloud computing as a the business competitive asset. Cloud Computing: Advanced Business and IT Strategies to Extract Tangible Value from the Cloud introduces a business-oriented approach to implementing cloud computing. Philippe Abdoulaye through his concepts of integrated Cloud-Oriented Operating (iCLOOP) model, Cloud Consumer-Provider Service Delivery Model, Operating Model Transformation Cube, IaaS and SaaS Service Delivery Cubes, demonstrates how to leverage cloud and increase businesses' competitiveness. Cloud Computing: Advanced Business and IT Strategies to Extract Tangible Value from the Cloud provides a comprehensive Cloud Transition Life Cycle (TLC) along with a complete set of 50 tools driving the end-to-end transition to cloud. Philippe Abdoulaye's work is a major one; it provides concrete and actionable solutions to cloud transition. |
| cloud engineering team structure: Designing Cloud Data Platforms Danil Zburivsky, Lynda Partner, 2021-04-20 Centralized data warehouses, the long-time defacto standard for housing data for analytics, are rapidly giving way to multi-faceted cloud data platforms. Companies that embrace modern cloud data platforms benefit from an integrated view of their business using all of their data and can take advantage of advanced analytic practices to drive predictions and as yet unimagined data services. Designing Cloud Data Platforms is an hands-on guide to envisioning and designing a modern scalable data platform that takes full advantage of the flexibility of the cloud. As you read, you''ll learn the core components of a cloud data platform design, along with the role of key technologies like Spark and Kafka Streams. You''ll also explore setting up processes to manage cloud-based data, keep it secure, and using advanced analytic and BI tools to analyse it. about the technology Access to affordable, dependable, serverless cloud services has revolutionized the way organizations can approach data management, and companies both big and small are raring to migrate to the cloud. But without a properly designed data platform, data in the cloud can remain just as siloed and inaccessible as it is today for most organizations. Designing Cloud Data Platforms lays out the principles of a well-designed platform that uses the scalable resources of the public cloud to manage all of an organization''s data, and present it as useful business insights. about the book In Designing Cloud Data Platforms, you''ll learn how to integrate data from multiple sources into a single, cloud-based, modern data platform. Drawing on their real-world experiences designing cloud data platforms for dozens of organizations, cloud data experts Danil Zburivsky and Lynda Partner take you through a six-layer approach to creating cloud data platforms that maximizes flexibility and manageability and reduces costs. Starting with foundational principles, you''ll learn how to get data into your platform from different databases, files, and APIs, the essential practices for organizing and processing that raw data, and how to best take advantage of the services offered by major cloud vendors. As you progress past the basics you''ll take a deep dive into advanced topics to get the most out of your data platform, including real-time data management, machine learning analytics, schema management, and more. what''s inside The tools of different public cloud for implementing data platforms Best practices for managing structured and unstructured data sets Machine learning tools that can be used on top of the cloud Cost optimization techniques about the reader For data professionals familiar with the basics of cloud computing and distributed data processing systems like Hadoop and Spark. about the authors Danil Zburivsky has over 10 years experience designing and supporting large-scale data infrastructure for enterprises across the globe. Lynda Partner is the VP of Analytics-as-a-Service at Pythian, and has been on the business side of data for over 20 years. |
| cloud engineering team structure: AWS for Non-Engineers Hiroko Nishimura, 2022-12-13 This book is for anyone just starting with Amazon Web Services or cloud computing in general--whether you're in customer service, marketing, or management. It's written by Hiroko Nishimura, and is based on her video courses that have been taken by over 300,000 learners. In this reader-friendly book, you'll learn how to talk about cloud concepts with engineers, what the cloud could do for your business, and how to start using AWS's services for your own IT tasks. When you're finished, you'll be comfortable with the basics of cloud computing on AWS and you'll be prepared to take the AWS Certified Cloud Practitioner Exam. |
| cloud engineering team structure: Software Engineering Aspects of Continuous Development and New Paradigms of Software Production and Deployment Jean-Michel Bruel, Manuel Mazzara, Bertrand Meyer, 2019-01-18 This book constitutes revised selected papers from the First International Workshop on Software Engineering Aspects of Continuous Development and New Paradigms of Software Production and Deployment, DEVOPS 2018, hled at the hateau de Villebrumier, France, in March 2018. The 17 papers presented in this volume were carefully reviewed and selected from 23 submissions. They cover a wide range of problems arising from Devops and related approaches, current tools, rapid development-deployment processes, effects on team performance, analytics, trustworthiness, microservices and related topics. |
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