Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
How To Use Ibm Cloud Object Storage When Building And Operating Cloud Native Applications
Download How To Use Ibm Cloud Object Storage When Building And Operating Cloud Native Applications full books in PDF, epub, and Kindle. Read online How To Use Ibm Cloud Object Storage When Building And Operating Cloud Native Applications ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Book Synopsis How to Use IBM Cloud Object Storage When Building and Operating Cloud Native Applications by : Giri Badanahatti
Download or read book How to Use IBM Cloud Object Storage When Building and Operating Cloud Native Applications written by Giri Badanahatti and published by IBM Redbooks. This book was released on 2018-11-15 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: This IBM® RedpaperTM publication presents a series of tutorials for cloud native developers just getting started with IBM CloudTM and IBM Cloud Object Storage. Within the context of a car insurance application, this paper presents an introductory series of linked modules that allow developers unfamiliar with either IBM Cloud or cloud native development to get started with application development using IBM starter kits. This allows you to become familiar with the types of services available on IBM Cloud, and to develop a sense of which patterns and choices are appropriate for different use cases. Some of the technologies and products covered in this book are Cloudant®, WatsonTM Analytics, machine learning, elastic search, Kubernetes, containers, pre-signed URLs, Aspera®, and SQL Query. In addition to the technical integration steps, it also presents a business case for integrating these technologies and products with IBM Cloud Object Storage. The target audience for this paper is cloud native developers and cloud object storage specialists.
Book Synopsis How to Use IBM Cloud Object Storage When Building and Operating Cloud Native Applications by : Giri Badanahatti
Download or read book How to Use IBM Cloud Object Storage When Building and Operating Cloud Native Applications written by Giri Badanahatti and published by . This book was released on 2018 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: This IBM® RedpaperTM publication presents a series of tutorials for cloud native developers just getting started with IBM CloudTM and IBM Cloud Object Storage. Within the context of a car insurance application, this paper presents an introductory series of linked modules that allow developers unfamiliar with either IBM Cloud or cloud native development to get started with application development using IBM starter kits. This allows you to become familiar with the types of services available on IBM Cloud, and to develop a sense of which patterns and choices are appropriate for different use cases. Some of the technologies and products covered in this book are Cloudant®, WatsonTM Analytics, machine learning, elastic search, Kubernetes, containers, pre-signed URLs, Aspera®, and SQL Query. In addition to the technical integration steps, it also presents a business case for integrating these technologies and products with IBM Cloud Object Storage. The target audience for this paper is cloud native developers and cloud object storage specialists.
Book Synopsis IBM Cloud Object Storage System Product Guide by : Vasfi Gucer
Download or read book IBM Cloud Object Storage System Product Guide written by Vasfi Gucer and published by IBM Redbooks. This book was released on 2023-06-14 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: Object storage is the primary storage solution that is used in the cloud and on-premises solutions as a central storage platform for unstructured data. IBM Cloud Object Storage is a software-defined storage (SDS) platform that breaks down barriers for storing massive amounts of data by optimizing the placement of data on commodity x86 servers across the enterprise. This IBM Redbooks® publication describes the major features, use case scenarios, deployment options, configuration details, initial customization, performance, and scalability considerations of IBM Cloud Object Storage on-premises offering. For more information about the IBM Cloud Object Storage architecture and technology that is behind the product, see IBM Cloud Object Storage Concepts and Architecture , REDP-5537. The target audience for this publication is IBM Cloud Object Storage IT specialists and storage administrators.
Book Synopsis Cloud Object Storage as a Service: IBM Cloud Object Storage from Theory to Practice - For developers, IT architects and IT specialists by : Anil Patil
Download or read book Cloud Object Storage as a Service: IBM Cloud Object Storage from Theory to Practice - For developers, IT architects and IT specialists written by Anil Patil and published by IBM Redbooks. This book was released on 2020-06-10 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: The digital enterprise has resulted in an explosion of data, and data volumes are expected to grow in zettabyte scale in the next few years. This explosive growth is largely fueled by unstructured data, such as video, social media, photos, and text. IBM® Cloud Object Storage (previously known as Cleversafe®) provides organizations the flexibility, scalability, and simplicity required to store, manage, and access today's rapidly growing unstructured data. Cloud Object Storage (COS) provides access to your unstructured data via a self-service portal from anywhere in the world with RESTful APIs, including OpenStack Swift API and S3-compatible API, enterprise availability, and security. IBM COS is available in the following deployment models: Private on-premises object storage Dedicated object storage (single-tenant) Public object storage (multi-tenant) Hybrid object storage (a mix of on-premises, dedicated or public offerings) This IBM Redbooks® publication focuses on the IBM COS public offering, IBM COS Public Services, and hybrid solutions leveraging this offering. This book is for solution developers, architects, and IT specialists who are implementing Cloud Object Storage solutions.
Book Synopsis Essentials of Application Development on IBM Cloud by : Ahmed Azraq
Download or read book Essentials of Application Development on IBM Cloud written by Ahmed Azraq and published by IBM Redbooks. This book was released on 2017-12-11 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: This IBM® Redbooks® publication is designed to teach university students and app developers the foundation skills that are required to develop, test, and deploy cloud-based applications on IBM Cloud. It shows the latest features of IBM Cloud for developing cloud applications, enhancing applications by using managed services, and the use of DevOps services to manage applications. This book is used as presentations guide for the IBM Skills Academy track Cloud Application Developer and as preparation material for the IBM professional certification exam IBM Certified Application Developer - Cloud Platform. The primary target audience for this course is university students in undergraduate computer science and computer engineer programs with no previous experience working in cloud environments. However, anyone new to cloud computing or IBM Cloud can also benefit from this course.
Book Synopsis Cloud Data Sharing with IBM Spectrum Scale by : Nikhil Khandelwal
Download or read book Cloud Data Sharing with IBM Spectrum Scale written by Nikhil Khandelwal and published by IBM Redbooks. This book was released on 2017-02-14 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt: This IBM® RedpaperTM publication provides information to help you with the sizing, configuration, and monitoring of hybrid cloud solutions using the Cloud data sharing feature of IBM Spectrum ScaleTM. IBM Spectrum Scale, formerly IBM General Parallel File System (IBM GPFSTM), is a scalable data and file management solution that provides a global namespace for large data sets along with several enterprise features. Cloud data sharing allows for the sharing and use of data between various cloud object storage types and IBM Spectrum Scale. Cloud data sharing can help with the movement of data in both directions, between file systems and cloud object storage, so that data is where it needs to be, when it needs to be there. This paper is intended for IT architects, IT administrators, storage administrators, and those who want to learn more about sizing, configuration, and monitoring of hybrid cloud solutions using IBM Spectrum Scale and Cloud data sharing.
Book Synopsis IBM Reference Architecture for High Performance Data and AI in Healthcare and Life Sciences by : Dino Quintero
Download or read book IBM Reference Architecture for High Performance Data and AI in Healthcare and Life Sciences written by Dino Quintero and published by IBM Redbooks. This book was released on 2019-09-08 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt: This IBM® Redpaper publication provides an update to the original description of IBM Reference Architecture for Genomics. This paper expands the reference architecture to cover all of the major vertical areas of healthcare and life sciences industries, such as genomics, imaging, and clinical and translational research. The architecture was renamed IBM Reference Architecture for High Performance Data and AI in Healthcare and Life Sciences to reflect the fact that it incorporates key building blocks for high-performance computing (HPC) and software-defined storage, and that it supports an expanding infrastructure of leading industry partners, platforms, and frameworks. The reference architecture defines a highly flexible, scalable, and cost-effective platform for accessing, managing, storing, sharing, integrating, and analyzing big data, which can be deployed on-premises, in the cloud, or as a hybrid of the two. IT organizations can use the reference architecture as a high-level guide for overcoming data management challenges and processing bottlenecks that are frequently encountered in personalized healthcare initiatives, and in compute-intensive and data-intensive biomedical workloads. This reference architecture also provides a framework and context for modern healthcare and life sciences institutions to adopt cutting-edge technologies, such as cognitive life sciences solutions, machine learning and deep learning, Spark for analytics, and cloud computing. To illustrate these points, this paper includes case studies describing how clients and IBM Business Partners alike used the reference architecture in the deployments of demanding infrastructures for precision medicine. This publication targets technical professionals (consultants, technical support staff, IT Architects, and IT Specialists) who are responsible for providing life sciences solutions and support.
Book Synopsis Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models by : Jorge Garza Ulloa
Download or read book Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models written by Jorge Garza Ulloa and published by Elsevier. This book was released on 2021-11-30 with total page 705 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models focuses on the relationship between three different multidisciplinary branches of engineering: Biomedical Engineering, Cognitive Science and Computer Science through Artificial Intelligence models. These models will be used to study how the nervous system and musculoskeletal system obey movement orders from the brain, as well as the mental processes of the information during cognition when injuries and neurologic diseases are present in the human body. The interaction between these three areas are studied in this book with the objective of obtaining AI models on injuries and neurologic diseases of the human body, studying diseases of the brain, spine and the nerves that connect them with the musculoskeletal system. There are more than 600 diseases of the nervous system, including brain tumors, epilepsy, Parkinson's disease, stroke, and many others. These diseases affect the human cognitive system that sends orders from the central nervous system (CNS) through the peripheral nervous systems (PNS) to do tasks using the musculoskeletal system. These actions can be detected by many Bioinstruments (Biomedical Instruments) and cognitive device data, allowing us to apply AI using Machine Learning-Deep Learning-Cognitive Computing models through algorithms to analyze, detect, classify, and forecast the process of various illnesses, diseases, and injuries of the human body. Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models provides readers with the study of injuries, illness, and neurological diseases of the human body through Artificial Intelligence using Machine Learning (ML), Deep Learning (DL) and Cognitive Computing (CC) models based on algorithms developed with MATLAB® and IBM Watson®. Provides an introduction to Cognitive science, cognitive computing and human cognitive relation to help in the solution of AI Biomedical engineering problems Explain different Artificial Intelligence (AI) including evolutionary algorithms to emulate natural evolution, reinforced learning, Artificial Neural Network (ANN) type and cognitive learning and to obtain many AI models for Biomedical Engineering problems Includes coverage of the evolution Artificial Intelligence through Machine Learning (ML), Deep Learning (DL), Cognitive Computing (CC) using MATLAB® as a programming language with many add-on MATLAB® toolboxes, and AI based commercial products cloud services as: IBM (Cognitive Computing, IBM Watson®, IBM Watson Studio®, IBM Watson Studio Visual Recognition®), and others Provides the necessary tools to accelerate obtaining results for the analysis of injuries, illness, and neurologic diseases that can be detected through the static, kinetics and kinematics, and natural body language data and medical imaging techniques applying AI using ML-DL-CC algorithms with the objective of obtaining appropriate conclusions to create solutions that improve the quality of life of patients
Book Synopsis IBM Cloud Pak for Data by : Hemanth Manda
Download or read book IBM Cloud Pak for Data written by Hemanth Manda and published by Packt Publishing Ltd. This book was released on 2021-11-24 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build end-to-end AI solutions with IBM Cloud Pak for Data to operationalize AI on a secure platform based on cloud-native reliability, cost-effective multitenancy, and efficient resource management Key FeaturesExplore data virtualization by accessing data in real time without moving itUnify the data and AI experience with the integrated end-to-end platformExplore the AI life cycle and learn to build, experiment, and operationalize trusted AI at scaleBook Description Cloud Pak for Data is IBM's modern data and AI platform that includes strategic offerings from its data and AI portfolio delivered in a cloud-native fashion with the flexibility of deployment on any cloud. The platform offers a unique approach to addressing modern challenges with an integrated mix of proprietary, open-source, and third-party services. You'll begin by getting to grips with key concepts in modern data management and artificial intelligence (AI), reviewing real-life use cases, and developing an appreciation of the AI Ladder principle. Once you've gotten to grips with the basics, you will explore how Cloud Pak for Data helps in the elegant implementation of the AI Ladder practice to collect, organize, analyze, and infuse data and trustworthy AI across your business. As you advance, you'll discover the capabilities of the platform and extension services, including how they are packaged and priced. With the help of examples present throughout the book, you will gain a deep understanding of the platform, from its rich capabilities and technical architecture to its ecosystem and key go-to-market aspects. By the end of this IBM book, you'll be able to apply IBM Cloud Pak for Data's prescriptive practices and leverage its capabilities to build a trusted data foundation and accelerate AI adoption in your enterprise. What you will learnUnderstand the importance of digital transformations and the role of data and AI platformsGet to grips with data architecture and its relevance in driving AI adoption using IBM's AI LadderUnderstand Cloud Pak for Data, its value proposition, capabilities, and unique differentiatorsDelve into the pricing, packaging, key use cases, and competitors of Cloud Pak for DataUse the Cloud Pak for Data ecosystem with premium IBM and third-party servicesDiscover IBM's vibrant ecosystem of proprietary, open-source, and third-party offerings from over 35 ISVsWho this book is for This book is for data scientists, data stewards, developers, and data-focused business executives interested in learning about IBM's Cloud Pak for Data. Knowledge of technical concepts related to data science and familiarity with data analytics and AI initiatives at various levels of maturity are required to make the most of this book.
Book Synopsis IBM Cloud Private Application Developer's Guide by : Ahmed Azraq
Download or read book IBM Cloud Private Application Developer's Guide written by Ahmed Azraq and published by IBM Redbooks. This book was released on 2019-05-01 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt: IBM® Cloud Private is an application platform for developing and managing containerized applications across hybrid cloud environments, on-premises and public clouds. It is an integrated environment for managing containers that includes the container orchestrator Kubernetes, a private image registry, a management console, and monitoring frameworks. This IBM Redbooks® publication covers tasks that are performed by IBM CloudTM Private application developers, such as deploying applications, application packaging with helm, application automation with DevOps, using Microclimate, and managing your service mesh with Istio. The authors team has many years of experience in implementing IBM Cloud Private and other cloud solutions in production environments. Throughout this book, we used the approach of providing you the recommended practices in those areas. As part of this project, we also developed several code examples, which can be downloaded from the Redbooks GitHub web page. If you are an IBM Cloud Private application developer, this book is for you. If you are an IBM Cloud Private systems administrator, you can see the IBM Redbooks publication IBM Private Cloud Systems Administrator's Guide, SG248440.
Book Synopsis IBM Storage Solutions for Blockchain Platform Version 1.2 by : IBM
Download or read book IBM Storage Solutions for Blockchain Platform Version 1.2 written by IBM and published by IBM Redbooks. This book was released on 2019-06-12 with total page 74 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Blueprint is intended to define the infrastructure that is required for a blockchain remote peer and to facilitate the deployment of IBM Blockchain Platform on IBM Cloud Private using that infrastructure. This infrastructure includes the necessary document handler components, such as IBM Blockchain Document Store, and covers the required storage for on-chain and off-chain blockchain data. To complete these tasks, you must have a basic understanding of each of the used components or have access the correct educational material to gain that knowledge.
Book Synopsis IBM Cloud Object Storage System Product Guide by : Bradley Leonard
Download or read book IBM Cloud Object Storage System Product Guide written by Bradley Leonard and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis IBM Software-Defined Storage Guide by : Larry Coyne
Download or read book IBM Software-Defined Storage Guide written by Larry Coyne and published by IBM Redbooks. This book was released on 2018-07-21 with total page 158 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today, new business models in the marketplace coexist with traditional ones and their well-established IT architectures. They generate new business needs and new IT requirements that can only be satisfied by new service models and new technological approaches. These changes are reshaping traditional IT concepts. Cloud in its three main variants (Public, Hybrid, and Private) represents the major and most viable answer to those IT requirements, and software-defined infrastructure (SDI) is its major technological enabler. IBM® technology, with its rich and complete set of storage hardware and software products, supports SDI both in an open standard framework and in other vendors' environments. IBM services are able to deliver solutions to the customers with their extensive knowledge of the topic and the experiences gained in partnership with clients. This IBM RedpaperTM publication focuses on software-defined storage (SDS) and IBM Storage Systems product offerings for software-defined environments (SDEs). It also provides use case examples across various industries that cover different client needs, proposed solutions, and results. This paper can help you to understand current organizational capabilities and challenges, and to identify specific business objectives to be achieved by implementing an SDS solution in your enterprise.
Book Synopsis IBM Cloud Object Storage System Product Guide by : Alexander Gavrin
Download or read book IBM Cloud Object Storage System Product Guide written by Alexander Gavrin and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Object storage is the primary storage solution that is used in the cloud and on-premises solutions as a central storage platform for unstructured data. IBM® Cloud Object Storage (COS) is a software-defined storage platform that breaks down barriers for storing massive amounts of data by optimizing the placement of data on commodity x86 servers across the enterprise. This IBM Redbooks® publication describes the major features, use case scenarios, deployment options, configuration details, initial customization, performance, and scalability considerations of IBM Cloud® Object Storage on-premises offering. For more information about the IBM Cloud Object Storage architecture and technology that is behind the product, see IBM Cloud Object Storage Concepts and Architecture: System Edition, REDP-5537-02. The target audience for this publication is IBM Cloud Object Storage IT specialists and storage administrators.
Book Synopsis Building Big Data and Analytics Solutions in the Cloud by : Wei-Dong Zhu
Download or read book Building Big Data and Analytics Solutions in the Cloud written by Wei-Dong Zhu and published by IBM Redbooks. This book was released on 2014-12-08 with total page 101 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big data is currently one of the most critical emerging technologies. Organizations around the world are looking to exploit the explosive growth of data to unlock previously hidden insights in the hope of creating new revenue streams, gaining operational efficiencies, and obtaining greater understanding of customer needs. It is important to think of big data and analytics together. Big data is the term used to describe the recent explosion of different types of data from disparate sources. Analytics is about examining data to derive interesting and relevant trends and patterns, which can be used to inform decisions, optimize processes, and even drive new business models. With today's deluge of data comes the problems of processing that data, obtaining the correct skills to manage and analyze that data, and establishing rules to govern the data's use and distribution. The big data technology stack is ever growing and sometimes confusing, even more so when we add the complexities of setting up big data environments with large up-front investments. Cloud computing seems to be a perfect vehicle for hosting big data workloads. However, working on big data in the cloud brings its own challenge of reconciling two contradictory design principles. Cloud computing is based on the concepts of consolidation and resource pooling, but big data systems (such as Hadoop) are built on the shared nothing principle, where each node is independent and self-sufficient. A solution architecture that can allow these mutually exclusive principles to coexist is required to truly exploit the elasticity and ease-of-use of cloud computing for big data environments. This IBM® RedpaperTM publication is aimed at chief architects, line-of-business executives, and CIOs to provide an understanding of the cloud-related challenges they face and give prescriptive guidance for how to realize the benefits of big data solutions quickly and cost-effectively.
Book Synopsis IBM Cloud Private System Administrator's Guide by : Ahmed Azraq
Download or read book IBM Cloud Private System Administrator's Guide written by Ahmed Azraq and published by IBM Redbooks. This book was released on 2019-06-27 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: IBM® Cloud Private is an application platform for developing and managing containerized applications across hybrid cloud environments, on-premises and public clouds. It is an integrated environment for managing containers that includes the container orchestrator Kubernetes, a private image registry, a management console, and monitoring frameworks. This IBM Redbooks covers tasks performed by IBM Cloud Private system administrators such as installation for high availability, configuration, backup and restore, using persistent volumes, networking, security, logging and monitoring. Istio integration, troubleshooting and so on. As part of this project we also developed several code examples and you can download those from the IBM Redbooks GitHub location: https://github.com/IBMRedbooks. The authors team has many years of experience in implementing IBM Cloud Private and other cloud solutions in production environments, so throughout this document we took the approach of providing you the recommended practices in those areas. If you are an IBM Cloud Private system administrator, this book is for you. If you are developing applications on IBM Cloud Private, you can see the IBM Redbooks publication IBM Cloud Private Application Developer's Guide, SG24-8441.
Book Synopsis Creating IBM z/OS Cloud Services by : Jeffrey Bisti
Download or read book Creating IBM z/OS Cloud Services written by Jeffrey Bisti and published by IBM Redbooks. This book was released on 2016-02-08 with total page 86 pages. Available in PDF, EPUB and Kindle. Book excerpt: This IBM® Redbooks® publication discusses the real world experience of an enterprise that developed and implemented IBM z/OS® cloud services. This book shares the experience of a team at Walmart Technology, Walmart Stores, Inc.® and some of the decisions they made to create business critical cloud services. These experiences and approaches relate to the z/OS platform, and might not apply to other hybrid cloud approaches. This book highlights the strengths and characteristics of z/OS that led the Walmart infrastructure and software engineers to use this platform as they transitioned from a traditional IT deployment to a cloud model. Embarking on a cloud strategy can be overwhelming. No shortage of approaches to cloud computing exists. This book focuses on a pragmatic approach for enterprises that are struggling to take advantage of their business assets in the cloud. This book introduces the basic cloud concepts as defined by the National Institute of Standards and Technology (NIST). Each chapter explains the importance of a particular NIST characteristic, the z/OS role in accomplishing the characteristic, and how it was implemented by the Walmart Technology team. This book is intended for IT professionals who are considering extending their IBM z SystemsTM environment to a hybrid cloud by unleashing the power of cloud services on z/OS. For information about creating cloud services that are hosted in IBM CICS®, see How Walmart Became a Cloud Services Provider with IBM CICS, SG24-8347.
