Programming in cloud

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The Self-Taught Cloud Computing Engineer. A comprehensive professional study guide to AWS, Azure, and GCP

Dr. Logan Song, Yu Meng

As cloud computing continues to revolutionize IT, professionals face the challenge of keeping up with rapidly evolving technologies. This book provides a clear roadmap for mastering cloud concepts, developing hands-on expertise, and obtaining professional certifications, making it an essential resource for those looking to advance their careers in cloud computing.Starting with a focus on the Amazon cloud, you’ll be introduced to fundamental AWS cloud services, followed by 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, differentiating their unique features, along with leveraging real-life cloud project implementations on these cloud platforms. Through hands-on projects and real-world applications, you’ll gain the skills needed to work confidently across different cloud platforms. The book concludes with career development guidance, including certification paths and industry insights to help you succeed in the cloud computing landscape.Walking through this cloud computing book, you’ll systematically establish a robust footing in AWS, Azure, and GCP, and emerge as a cloud-savvy professional, equipped with cloud certificates to validate your skills.

386
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Time Series Analysis on AWS. Learn how to build forecasting models and detect anomalies in your time series data

Michaël Hoarau

Being a business analyst and data scientist, you have to use many algorithms and approaches to prepare, process, and build ML-based applications by leveraging time series data, but you face common problems, such as not knowing which algorithm to choose or how to combine and interpret them. Amazon Web Services (AWS) provides numerous services to help you build applications fueled by artificial intelligence (AI) capabilities. This book helps you get to grips with three AWS AI/ML-managed services to enable you to deliver your desired business outcomes.The book begins with Amazon Forecast, where you’ll discover how to use time series forecasting, leveraging sophisticated statistical and machine learning algorithms to deliver business outcomes accurately. You’ll then learn to use Amazon Lookout for Equipment to build multivariate time series anomaly detection models geared toward industrial equipment and understand how it provides valuable insights to reinforce teams focused on predictive maintenance and predictive quality use cases. In the last chapters, you’ll explore Amazon Lookout for Metrics, and automatically detect and diagnose outliers in your business and operational data.By the end of this AWS book, you’ll have understood how to use the three AWS AI services effectively to perform time series analysis.

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Usługi Microsoft Azure Programowanie aplikacji

Zbigniew Fryźlewicz, Łukasz Leśniczek

Microsoft Azure to jedna z wielu platform chmurowych, które powstały w ciągu kilku ostatnich lat i zdobyły znaczącą pozycję na rynku usług IT w skali globalnej. Każda z tych platform oferuje gotowe do subskrypcji i użycia własne aplikacje chmurowe - usługi w modelu SaaS - a także dostęp do usług w modelach IaaS i PaaS. Platforma chmurowa Microsoft Azure zapewnia także usługi w każdym z trzech wymienionych modeli. Platforma Azure bardzo dynamicznie się rozwija. Oferuje coraz więcej specjalizowanych usług poczynając od, w różnym stopniu prekonfigurowanych, maszyn wirtualnych, poprzez usługi mobilne, multimedialne, integracyjne, aż po różne rodzaje usług danych, czy usługi wspierające przetwarzanie Big Data. W książce autorzy przedstawiają najpierw różne kategorie usług dostępnych w chmurze Azure. Następnie przechodzą do demonstracji praktycznego wykorzystania rozmaitych usług chmury Azure poprzez budowanie czterech "z życia wziętych" aplikacji. Pokazana została zarówno konfiguracja składników działających w chmurze, jak i tworzenie właściwego kodu. Dr inż. Zbigniew Fryźlewicz jest adiunktem w Katedrze Informatyki na Wydziale Informatyki i Zarządzania Politechniki Wrocławskiej. W działalności naukowej i dydaktycznej zajmuje się technologiami internetowymi, usługami webowymi i programowaniem współbieżnym. Mgr inż. Łukasz Leśniczek jest programistą specjalizującym się w technologiach opartych na platformie Microsoft .NET Framework. Zajmuje się projektowaniem, implementowaniem i wdrażaniem aplikacji webowych zarówno w warstwie front-end, jak i back-end.

389
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VMware Cloud on AWS Blueprint. Design, automate, and migrate VMware workloads on AWS global infrastructure

Oleg Ulyanov, Michael Schwartzman, Harsha Sanku

If you’re looking to effortlessly transition from on-premises VMware vSphere environments or capital expenditure (CAPEX) to an agile operational expenditure (OPEX) model, trust the VMware Cloud (VMC) on AWS platform for swift re-platforming of legacy applications into cloud-native framework. This comprehensive guide addresses hybrid cloud challenges, offering detailed solutions within the VMware Cloud on AWS ecosystem.Covering the foundational architecture, software-defined data center (SDDC) components of VMware Cloud on AWS, network and security configurations, and AWS service integrations, this book lays the foundation for you to advance to vCenter management, vSAN storage policies, NSX architecture, compute policies, SDDC console management, and the EDRS mechanism for cluster scaling. You’ll also explore integrated services such as VMware HCX for migration, VMware Aria suite, Tanzu Managed Kubernetes, and disaster recovery.Further, the book takes you through VMware Cloud APIs and guides you in managing workloads with VMware Cloud on AWS Outposts. With the help of practical insights, configuration tips, and best practices, you’ll unlock the full potential of VMC on AWS.By the end of this book, you’ll be equipped to successfully architect and manage VMware Cloud on AWS SDDCs, handling day-to-day operations expertly.

392
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VMware NSX Cookbook. Over 70 recipes to master the network virtualization skills to implement, validate, operate, upgrade, and automate VMware NSX for vSphere

Bayu Wibowo, Tony Sangha

This book begins with a brief introduction to VMware's NSX for vSphere Network Virtualization solutions and how to deploy and configure NSX components and features such as Logical Switching, Logical Routing, layer 2 bridging and the Edge Services Gateway. Moving on to security, the book shows you how to enable micro-segmentation through NSX Distributed Firewall and Identity Firewall and how to do service insertion via network and guest introspection. After covering all the feature configurations for single-site deployment, the focus then shifts to multi-site setups using Cross-vCenter NSX.Next, the book covers management, backing up and restoring, upgrading, and monitoring using built-in NSX features such as Flow Monitoring, Traceflow, Application Rule Manager, and Endpoint Monitoring. Towards the end, you will explore how to leverage VMware NSX REST API using various tools from Python to VMware vRealize Orchestrator.

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