Informatyka
Mansura Habiba
Most organizations are now either moving to the cloud through modernization or building their apps in the cloud. Hybrid cloud is one of the best approaches for cloud migration and the modernization journey for any enterprise. This is why, along with coding skills, developers need to know the big picture of cloud footprint and be aware of the integration models between apps in a hybrid and multi-cloud infrastructure. This book represents an overview of your end-to-end journey to the cloud. To be future agnostic, the journey starts with a hybrid cloud.You'll gain an overall understanding of how to approach migration to the cloud using hybrid cloud technologies from IBM and Red Hat. Next, you’ll be able to explore the challenges, requirements (both functional and non-functional), and the process of app modernization for enterprises by analyzing various use cases. The book then provides you with insights into the different reference solutions for app modernization on the cloud, which will help you to learn how to design and implement patterns and best practices in your job.By the end of this book, you’ll be able to successfully modernize applications and cloud infrastructure in hyperscaler public clouds such as IBM and hybrid clouds using Red Hat technologies as well as develop secure applications for cloud environments.
Sangram Rath
The increasing adoption of the Cloud has led to enterprises having a heterogeneous IT environment that consists of both private and public cloud infrastructures, and in most cases existing virtualized infrastructures as well. As building and managing such a diverse IT infrastructure is a major challenges, Red Hat CloudForms provides a unified, consistent, and comprehensive management platform. With features like cloud intelligence dashboard, self-service portal, lifecycle management, policy-based governance, quotas, capacity management, monitoring and reporting, Red Hat CloudForms lets you manage your hybrid cloud infrastructure from a single pane of glass.This book will equip you with a hands-on approach on how to build a hybrid cloud environment and then manage, control, and gain operational insights into it.The book starts by showing you how to install and configure Red Hat CloudForms, and add infrastructure and cloud providers to build the hybrid cloud environment. Next, you will learn to provision virtual machines and instances to these platform providers, and manage and control the lifecycle of these resources. You will also get to know about automating provisioning.Moving on, you’ll get to grips with the management of resources using policies, events, conditions, and actions. You’ll also learn to monitor these resources from a single pane of glass. Finally, the book covers viewing capacity and utilization trends to optimize the overall hybrid cloud infrastructure, and also introduces you to supported APIs.By end of the book, you will be able to deploy and use Red Hat CloudForms.
Agnieszka Rossa, Lesław Socha, Andrzej Szymański
Umieralność i prawidłowości z nią związane są przedmiotem dociekań od wielu stuleci. Za ojca metodologii tablic wymieralności uznaje się J. Graunta, który w roku 1662 opublikował pracę „Natural and Political Observations Made upon the Bills of Mortality”. Kontynuatorem badań Graunta był angielski astronom E. Halley. Autorem współczesnej metodologii budowy tablic wymieralności jest C. L. Chiang. Gwałtowny rozwój teorii i zastosowań modeli umieralności obserwujemy szczególnie w ostatnich czterech dekadach, czego dowodem jest też niniejsza książka. Przedstawione są w niej najnowsze modele umieralności, które umożliwiają prognozowanie procesu wymierania populacji w perspektywie średnio- i długookresowej. Autorzy omawiają kolejne modyfikacje modelu Lee-Cartera, wykorzystując teorię równań różniczkowych, algebry liczb rozmytych oraz algebry liczb zespolonych. Zastosowanie tych struktur pozwala na modelowanie umieralności, a następnie na wskazanie własności prognostycznych poszczególnych modeli. W sytuacji starzenia się społeczeństw w krajach rozwiniętych proponowane modele mogą znaleźć zastosowanie m.in. w planach emerytalnych i ubezpieczeniach na życie.
Xun (Brian) Wu, Chuangfeng Zhang, Zhibin (Andrew)...
Hyperledger is an open-source project and creates private blockchain applications for a range of domains. This book will be your desk reference as you explore common and not-so-common challenges faced while building blockchain networks using Hyperledger services.We'll work through all Hyperledger platform modules to understand their services and features and build end-to-end blockchain applications using various frameworks and tools supported by Hyperledger. This book's independent, recipe-based approach (packed with real-world examples) will familiarize you with the blockchain development cycle. From modeling a business network to integrating with various tools, you will cover it all. We'll cover common and not-so-common challenges faced in the blockchain life cycle. Later, we'll delve into how we can interact with the Hyperledger Fabric blockchain, covering all the principles you need to master, such as chaincode, smart contracts, and much more. We'll also address the scalability and security issues currently faced in blockchain development.By the end of this book, you will be able to implement each recipe to plan, design, and create a full-fledged, private, decentralized application to meet organizational needs.
Louis Owen
Hyperparameters are an important element in building useful machine learning models. This book curates numerous hyperparameter tuning methods for Python, one of the most popular coding languages for machine learning. Alongside in-depth explanations of how each method works, you will use a decision map that can help you identify the best tuning method for your requirements.You’ll start with an introduction to hyperparameter tuning and understand why it's important. Next, you'll learn the best methods for hyperparameter tuning for a variety of use cases and specific algorithm types. This book will not only cover the usual grid or random search but also other powerful underdog methods. Individual chapters are also dedicated to the three main groups of hyperparameter tuning methods: exhaustive search, heuristic search, Bayesian optimization, and multi-fidelity optimization. Later, you will learn about top frameworks like Scikit, Hyperopt, Optuna, NNI, and DEAP to implement hyperparameter tuning. Finally, you will cover hyperparameters of popular algorithms and best practices that will help you efficiently tune your hyperparameter.By the end of this book, you will have the skills you need to take full control over your machine learning models and get the best models for the best results.
Romain Serre, Benedict Berger
Hyper-V Server and Windows Server 2016 with Hyper-V provide best-in-class virtualization capabilities. Hyper-V is a Windows-based, very cost-effective virtualization solution with easy-to-use and well-known administrative consoles.This book will assist you in designing, implementing, and managing highly effective and highly available Hyper-V infrastructures. With an example-oriented approach, this book covers all the different tips and suggestions to configure Hyper-V and provides readers with real-world proven solutions. This book begins by deploying single clusters of High Availability Hyper-V systems including the new Nano Server. This is followed by steps to configure the Hyper-V infrastructure components such as storage and network. It also touches on necessary processes such as backup and disaster recovery for optimal configuration. The book does not only show you what to do and how to plan the different scenarios, but it also provides in-depth configuration options. These scalable and automated configurations are then optimized via performance tuning and central management ensuring your applications are always the best they can be.
Benedict Berger
This book is intended for those who already have some basic experience with Hyper-V and now want to gain additional capabilities and knowledge of Hyper-V.If you have used Hyper-V in a lab environment before and now want to close the knowledge gap to transfer your Hyper-V environment to production, this is the book for you!
Ryan Boud
If you are a virtualization architect, engineer, or administrator who wants to leverage Hyper-V to create virtual networks (virtual data centers), this is the book for you.Prior knowledge of Hyper-V or a similar solution and a good understanding of the end goals of creating a virtual network is required.