Cloud Management Platforms
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| Author | : Gerard Blokdyk |
| Publisher | : Createspace Independent Publishing Platform |
| Total Pages | : 124 |
| Release | : 2017-10-07 |
| Genre | : |
| ISBN | : 9781978031012 |
Will Cloud Management Platform deliverables need to be tested and, if so, by whom? Whats the best design framework for Cloud Management Platform organization now that, in a post industrial-age if the top-down, command and control model is no longer relevant? How are the Cloud Management Platform's objectives aligned to the organization's overall business strategy? How do we Improve Cloud Management Platforms service perception, and satisfaction? What is our formula for success in Cloud Management Platform ? This powerful Cloud Management Platform self-assessment will make you the assured Cloud Management Platform domain leader by revealing just what you need to know to be fluent and ready for any Cloud Management Platform challenge. How do I reduce the effort in the Cloud Management Platform work to be done to get problems solved? How can I ensure that plans of action include every Cloud Management Platform task and that every Cloud Management Platform outcome is in place? How will I save time investigating strategic and tactical options and ensuring Cloud Management Platform opportunity costs are low? How can I deliver tailored Cloud Management Platform advise instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all Cloud Management Platform essentials are covered, from every angle: the Cloud Management Platform self-assessment shows succinctly and clearly that what needs to be clarified to organize the business/project activities and processes so that Cloud Management Platform outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Cloud Management Platform practitioners. Their mastery, combined with the uncommon elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Cloud Management Platform are maximized with professional results. Your purchase includes access to the $249 value Cloud Management Platform self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. Your exclusive instant access details can be found in your book.
| Author | : Gerardus Blokdyk |
| Publisher | : Createspace Independent Publishing Platform |
| Total Pages | : 136 |
| Release | : 2018-03-29 |
| Genre | : |
| ISBN | : 9781986943949 |
How can you measure Cloud Management Platforms in a systematic way? What is our Cloud Management Platforms Strategy? What vendors make products that address the Cloud Management Platforms needs? Are there Cloud Management Platforms Models? How do we go about Comparing Cloud Management Platforms approaches/solutions? Defining, designing, creating, and implementing a process to solve a challenge or meet an objective is the most valuable role... In EVERY group, company, organization and department. Unless you are talking a one-time, single-use project, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?' This Self-Assessment empowers people to do just that - whether their title is entrepreneur, manager, consultant, (Vice-)President, CxO etc... - they are the people who rule the future. They are the person who asks the right questions to make Cloud Management Platforms investments work better. This Cloud Management Platforms All-Inclusive Self-Assessment enables You to be that person. All the tools you need to an in-depth Cloud Management Platforms Self-Assessment. Featuring 711 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Cloud Management Platforms improvements can be made. In using the questions you will be better able to: - diagnose Cloud Management Platforms projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices - implement evidence-based best practice strategies aligned with overall goals - integrate recent advances in Cloud Management Platforms and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Cloud Management Platforms Scorecard, you will develop a clear picture of which Cloud Management Platforms areas need attention. Your purchase includes access details to the Cloud Management Platforms self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. Your exclusive instant access details can be found in your book.
| Author | : Gerardus Blokdyk |
| Publisher | : |
| Total Pages | : 0 |
| Release | : |
| Genre | : |
| ISBN | : 9780655112068 |
| Author | : Imad M. Abbadi |
| Publisher | : John Wiley & Sons |
| Total Pages | : 258 |
| Release | : 2014-06-04 |
| Genre | : Technology & Engineering |
| ISBN | : 1118817079 |
Written by an expert with over 15 years’ experience in the field, this book establishes the foundations of Cloud computing, building an in-depth and diverse understanding of the technologies behind Cloud computing. In this book, the author begins with an introduction to Cloud computing, presenting fundamental concepts such as analyzing Cloud definitions, Cloud evolution, Cloud services, Cloud deployment types and highlighting the main challenges. Following on from the introduction, the book is divided into three parts: Cloud management, Cloud security, and practical examples. Part one presents the main components constituting the Cloud and federated Cloud infrastructure (e.g., interactions and deployment), discusses management platforms (resources and services), identifies and analyzes the main properties of the Cloud infrastructure, and presents Cloud automated management services: virtual and application resource management services. Part two analyzes the problem of establishing trustworthy Cloud, discusses foundation frameworks for addressing this problem – focusing on mechanisms for treating the security challenges, discusses foundation frameworks and mechanisms for remote attestation in Cloud and establishing Cloud trust anchors, and lastly provides a framework for establishing a trustworthy provenance system and describes its importance in addressing major security challenges such as forensic investigation, mitigating insider threats and operation management assurance. Finally, part three, based on practical examples, presents real-life commercial and open source examples of some of the concepts discussed, and includes a real-life case study to reinforce learning – especially focusing on Cloud security. Key Features • Covers in detail two main aspects of Cloud computing: Cloud management and Cloud security • Presents a high-level view (i.e., architecture framework) for Clouds and federated Clouds which is useful for professionals, decision makers, and students • Includes illustrations and real-life deployment scenarios to bridge the gap between theory and practice • Extracts, defines, and analyzes the desired properties and management services of Cloud computing and its associated challenges and disadvantages • Analyzes the risks associated with Cloud services and deployment types and what could be done to address the risk for establishing trustworthy Cloud computing • Provides a research roadmap to establish next-generation trustworthy Cloud computing • Includes exercises and solutions to problems as well as PowerPoint slides for instructors
| Author | : Jitendra Kumar |
| Publisher | : CRC Press |
| Total Pages | : 199 |
| Release | : 2021-11-25 |
| Genre | : Computers |
| ISBN | : 1000476596 |
Cloud computing offers subscription-based on-demand services, and it has emerged as the backbone of the computing industry. It has enabled us to share resources among multiple users through virtualization, which creates a virtual instance of a computer system running in an abstracted hardware layer. Unlike early distributed computing models, it offers virtually limitless computing resources through its large scale cloud data centers. It has gained wide popularity over the past few years, with an ever-increasing infrastructure, a number of users, and the amount of hosted data. The large and complex workloads hosted on these data centers introduce many challenges, including resource utilization, power consumption, scalability, and operational cost. Therefore, an effective resource management scheme is essential to achieve operational efficiency with improved elasticity. Machine learning enabled solutions are the best fit to address these issues as they can analyze and learn from the data. Moreover, it brings automation to the solutions, which is an essential factor in dealing with large distributed systems in the cloud paradigm. Machine Learning for Cloud Management explores cloud resource management through predictive modelling and virtual machine placement. The predictive approaches are developed using regression-based time series analysis and neural network models. The neural network-based models are primarily trained using evolutionary algorithms, and efficient virtual machine placement schemes are developed using multi-objective genetic algorithms. Key Features: The first book to set out a range of machine learning methods for efficient resource management in a large distributed network of clouds. Predictive analytics is an integral part of efficient cloud resource management, and this book gives a future research direction to researchers in this domain. It is written by leading international researchers. The book is ideal for researchers who are working in the domain of cloud computing.
| Author | : Pethuru Raj |
| Publisher | : Springer |
| Total Pages | : 257 |
| Release | : 2018-05-04 |
| Genre | : Computers |
| ISBN | : 3319786377 |
This practical text/reference provides an exhaustive guide to setting up and sustaining software-defined data centers (SDDCs). Each of the core elements and underlying technologies are explained in detail, often supported by real-world examples. The text illustrates how cloud integration, brokerage, and orchestration can ensure optimal performance and usage of data resources, and what steps are required to secure each component in a SDDC. The coverage also includes material on hybrid cloud concepts, cloud-based data analytics, cloud configuration, enterprise DevOps and code deployment tools, and cloud software engineering. Topics and features: highlights how technologies relating to cloud computing, IoT, blockchain, and AI are revolutionizing business transactions, operations, and analytics; introduces the concept of Cloud 2.0, in which software-defined computing, storage, and networking are applied to produce next-generation cloud centers; examines software-defined storage for storage virtualization, covering issues of cloud storage, storage tiering, and deduplication; discusses software-defined networking for network virtualization, focusing on techniques for network optimization in data centers; reviews the qualities and benefits of hybrid clouds, that bridge private and public cloud environments; investigates the security management of a software-defined data center, and proposes a framework for managing hybrid IT infrastructure components; describes the management of multi-cloud environments through automated tools, and cloud brokers that aim to simplify cloud access, use and composition; covers cloud orchestration for automating application integration, testing, infrastructure provisioning, software deployment, configuration, and delivery. This comprehensive work is an essential reference for all practitioners involved with software-defined data center technologies, hybrid clouds, cloud service management, cloud-based analytics, and cloud-based software engineering.
| Author | : Gerardus Blokdyk |
| Publisher | : 5starcooks |
| Total Pages | : 316 |
| Release | : 2019-07-03 |
| Genre | : |
| ISBN | : 9780655811374 |
Has a cost benefit analysis been performed? Do the benefits outweigh the costs? To what extent does management recognize cloud management platforms as a tool to increase the results? How are training requirements identified? What are the minority interests and what amount of minority interests can be recognized? This valuable Cloud Management Platforms self-assessment will make you the trusted Cloud Management Platforms domain visionary by revealing just what you need to know to be fluent and ready for any Cloud Management Platforms challenge. How do I reduce the effort in the Cloud Management Platforms work to be done to get problems solved? How can I ensure that plans of action include every Cloud Management Platforms task and that every Cloud Management Platforms outcome is in place? How will I save time investigating strategic and tactical options and ensuring Cloud Management Platforms costs are low? How can I deliver tailored Cloud Management Platforms advice instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all Cloud Management Platforms essentials are covered, from every angle: the Cloud Management Platforms self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that Cloud Management Platforms outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Cloud Management Platforms practitioners. Their mastery, combined with the easy elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Cloud Management Platforms are maximized with professional results. Your purchase includes access details to the Cloud Management Platforms self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows you exactly what to do next. Your exclusive instant access details can be found in your book. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation - In-depth and specific Cloud Management Platforms Checklists - Project management checklists and templates to assist with implementation INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.
| Author | : Gerardus Blokdyk |
| Publisher | : 5starcooks |
| Total Pages | : 118 |
| Release | : 2018-04-09 |
| Genre | : |
| ISBN | : 9780655169796 |
Does Cloud Management Platform systematically track and analyze outcomes for accountability and quality improvement? Who will provide the final approval of Cloud Management Platform deliverables? What are the success criteria that will indicate that Cloud Management Platform objectives have been met and the benefits delivered? How do mission and objectives affect the Cloud Management Platform processes of our organization? Is the scope of Cloud Management Platform defined? This instant Cloud Management Platform self-assessment will make you the principal Cloud Management Platform domain specialist by revealing just what you need to know to be fluent and ready for any Cloud Management Platform challenge. How do I reduce the effort in the Cloud Management Platform work to be done to get problems solved? How can I ensure that plans of action include every Cloud Management Platform task and that every Cloud Management Platform outcome is in place? How will I save time investigating strategic and tactical options and ensuring Cloud Management Platform costs are low? How can I deliver tailored Cloud Management Platform advice instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all Cloud Management Platform essentials are covered, from every angle: the Cloud Management Platform self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that Cloud Management Platform outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Cloud Management Platform practitioners. Their mastery, combined with the easy elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Cloud Management Platform are maximized with professional results. Your purchase includes access details to the Cloud Management Platform self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows you exactly what to do next. Your exclusive instant access details can be found in your book.
| Author | : Gerardus Blokdyk |
| Publisher | : |
| Total Pages | : 0 |
| Release | : |
| Genre | : |
| ISBN | : 9780655119791 |
| Author | : Danil Zburivsky |
| Publisher | : Simon and Schuster |
| Total Pages | : 334 |
| Release | : 2021-04-20 |
| Genre | : Computers |
| ISBN | : 1617296449 |
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.
