Programowanie w chmurze
Krishnaswamy Venkataraman, Anindita Basak, Ryan Murphy, Manpreet...
Microsoft Azure is a very popular cloud computing service used by many organizations around the world. Its latest analytics offering, Stream Analytics, allows you to process and get actionable insights from different kinds of data in real-time. This book is your guide to understanding the basics of how Azure Stream Analytics works, and building your own analytics solution using its capabilities. You will start with understanding what Stream Analytics is, and why it is a popular choice for getting real-time insights from data. Then, you will be introduced to Azure Stream Analytics, and see how you can use the tools and functions in Azure to develop your own Streaming Analytics. Over the course of the book, you will be given comparative analytic guidance on using Azure Streaming with other Microsoft Data Platform resources such as Big Data Lambda Architecture integration for real time data analysis and differences of scenarios for architecture designing with Azure HDInsight Hadoop clusters with Storm or Stream Analytics. The book also shows you how you can manage, monitor, and scale your solution for optimal performance.By the end of this book, you will be well-versed in using Azure Stream Analytics to develop an efficient analytics solution that can work with any type of data.
Sustainable Cloud Development. Optimize cloud workloads for environmental impact in the GenAI era
Parth Girish Patel, Ishneet Kaur Dua, Steven...
Written by three seasoned AWS solution architects, sustainability mentors, and thought leaders, Sustainable Cloud Development equips cloud professionals with actionable strategies to design, build, and optimize workloads that minimize environmental impact, while maintaining performance and scalability.This book combines practical insights, best practices, and case studies to help you align your cloud operations with global sustainability goals. From foundational concepts such as carbon footprint measurement to advanced techniques such as sustainable software architecture, generative AI lifecycle optimization, and cost-efficient cloud practices, this book covers every aspect of sustainable cloud development. You’ll get to grips with key tools, including AWS Cost Explorer, for analyzing costs and usage over time to right-size deployments; auto scaling for automatically scaling compute resources dynamically based on demand; Amazon Trusted Advisor for reviewing optimization recommendations across critical areas such as cost, performance, and security; and Amazon CloudWatch for detailed monitoring and threshold-based alerting around all resources and applications.This book serves as a practical blueprint for optimizing your cloud workloads for both high performance and a minimal environmental footprint.
Roman Levchenko, EDVALDO ALESSANDRO CARDOSO
Virtual Machine Manager (VMM) 2016 is part of the System Center suite to configure and manage datacenters and offers a unified management experience on-premises and Azure cloud.This book will be your best companion for day-to-day virtualization needs within your organization, as it takes you through a series of recipes to simplify and plan a highly scalable and available virtual infrastructure. You will learn the deployment tips, techniques, and solutions designed to show users how to improve VMM 2016 in a real-world scenario. The chapters are divided in a way that will allow you to implement the VMM 2016 and additional solutions required to effectively manage and monitor your fabrics and clouds. We will cover the most important new features in VMM 2016 across networking, storage, and compute, including brand new Guarded Fabric, Shielded VMs and Storage Spaces Direct. The recipes in the book provide step-by-step instructions giving you the simplest way to dive into VMM fabric concepts, private cloud, and integration with external solutions such as VMware, Operations Manager, and the Windows Azure Pack.By the end of this book, you will be armed with the knowledge you require to start designing and implementing virtual infrastructures in VMM 2016.
Tech Trends of the 4th Industrial Revolution. Navigating the Future of Technology in Business
Mercury Learning and Information, D. Pyo, J....
The term 4th Industrial Revolution is often mentioned in the media, but public understanding of its technologies lags behind their rapid development. This book bridges the gap, explaining essential technologies like IoT, blockchain, AI, cloud computing, and big data. It aims to enhance comprehension by minimizing technical content.The book introduces key technologies and their applications, emphasizing their importance in contemporary business models. Readers will find accessible descriptions and practical examples to aid understanding. Covering topics and trends vital for modern business, this book ensures readers grasp the technological landscape shaping the future.Throughout the book, you'll explore how these technologies are revolutionizing industries and their integration into business strategies. This journey provides a comprehensive understanding of the 4th Industrial Revolution, equipping readers with the knowledge needed to navigate and leverage these advancements effectively.
Ahilan Ponnusamy, Andreas Spanner, Mirco Hering, Vincent...
Cloud 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.
Terraform. Krótkie wprowadzenie. Tworzenie infrastruktury za pomocą kodu. Wydanie II
Yevgeniy Brikman
Terraform jest narzędziem open source służącym do tworzenia i wdrażania kodu infrastruktury licznych platform wizualizacji i chmury, takich jak Amazon Web Services, Google Cloud, Azure, oraz zarządzania tym kodem. Migracja korporacyjnych systemów IT do chmury jest niezwykle obiecującą możliwością i wielu menedżerów wysokiego szczebla dostrzega zalety technologii chmurowych. Terraform znakomicie ułatwia wdrażanie rozwiązań opartych na chmurze, jest też narzędziem szczególnie predysponowanym do pracy zgodnej z metodyką DevOps, dzięki której współdziałanie ludzi, procesów i technologii pozwala na zapewnienie wysokiej jakości i niezawodności produktu. Ta książka jest drugim, wzbogaconym i uzupełnionym wydaniem praktycznego samouczka, dzięki któremu rozpoczęcie pracy z Terraform stanie się bardzo łatwe. Zapoznasz się z językiem programowania Terraform i zasadami tworzenia kodu. Szybko zaczniesz go wdrażać i zarządzać infrastrukturą za pomocą zaledwie kilku poleceń. Istotną częścią publikacji jest ukazanie metodologii DevOps w działaniu oraz wyjaśnienie zasad kodowania infrastruktury. Dziesiątki jasnych przykładów kodu, które można samodzielnie wypróbować w akcji, ułatwią zrozumienie podstaw. Niezależnie od tego, czy jesteś początkującym programistą, weteranem DevOps lub doświadczonym administratorem systemów, szybko przejdziesz od podstaw Terraform do przygotowania pełnego stosu, który zapewni obsługę ogromnego ruchu sieciowego i dużych zespołów programistów. W książce między innymi: wprowadzenie do Terraform wraz ze zmianami w kolejnych wydaniach tworzenie wysokiej jakości modułów Terraform testy ręczne i zautomatyzowane kodu wdrażanie klastrów serwerów, mechanizmy równoważenia obciążenia i bazy danych zarządzanie informacjami o stanie infrastruktury zaawansowana składnia Terraform Infrastruktura: koduj, wdrażaj i zarządzaj!
Terraform. Tworzenie infrastruktury za pomocą kodu. Wydanie III
Yevgeniy Brikman
Jeszcze do niedawna praca administratora systemu polegała na ręcznym przygotowywaniu infrastruktury do działania. Mozolne konfigurowanie serwerów, baz danych i elementów sieci niosło za sobą ryzyko przestojów środowiska produkcyjnego i wprowadzenia błędnych ustawień, a wdrożenia przebiegały powoli i łączyły się z nieuchronnym poszukiwaniem błędów. Dziś do tego rodzaju prac służy Terraform, narzędzie open source przeznaczone do tworzenia i wdrażania kodu infrastruktury, a także zarządzania nim; rozwiązanie stosowane w takich platformach jak Amazon Web Services, Google Cloud, Azure i wiele innych. To trzecie, wzbogacone i uzupełnione wydanie praktycznego samouczka, dzięki któremu błyskawicznie rozpoczniesz pracę z Terraform. Zapoznasz się z językiem programowania Terraform i zasadami tworzenia kodu. Szybko zaczniesz wdrażać infrastrukturę i zarządzać nią za pomocą zaledwie kilku poleceń. Istotną częścią książki jest pokazanie metodologii DevOps w działaniu, a także wyjaśnienie zasad kodowania infrastruktury. Dziesiątki jasnych przykładów kodu, które można samodzielnie wypróbować w akcji, ułatwią zrozumienie podstaw. Nie musisz być weteranem DevOps ani doświadczonym administratorem systemów - z tym podręcznikiem nawet początkujący programiści sprawnie przygotują pełny stos, który zapewni obsługę ogromnego ruchu sieciowego w rzeczywistych środowiskach produkcyjnych. Dzięki książce: zrozumiesz, kiedy używać Terraform, a kiedy innych narzędzi wdrożysz klastry serwerów, mechanizmy równoważenia obciążenia i bazy danych nauczysz się tworzyć infrastrukturę Terraform przetestujesz moduły Terraform wieloma metodami skonfigurujesz potoki CI/CD i zaczniesz się posługiwać zaawansowaną składnią Terraform nauczysz się pracować w środowiskach chmurowych Infrastruktura jako kod: od sukcesu dzieli Cię kilka poleceń!
Krishna Sankar, Jeffrey Jackovich, Ruze Richards
Are you fascinated with applications like Alexa and Siri and how they accurately process information within seconds before returning accurate results? Are you looking for a practical guide that will teach you how to build intelligent applications that can revolutionize the world of artificial intelligence? The Applied AI and NLP Workshop will take you on a practical journey where you will learn how to build artificial intelligence (AI) and natural language processing (NLP) applications with Amazon Web services (AWS).Starting with an introduction to AI and machine learning, this book will explain how Amazon S3, or Amazon Simple Storage Service, works. You’ll then integrate AI with AWS to build serverless services and use Amazon’s NLP service Comprehend to perform text analysis on a document. As you advance, the book will help you get to grips with topic modeling to extract and analyze common themes on a set of documents with unknown topics. You’ll also work with Amazon Lex to create and customize a chatbot for task automation and use Amazon Rekognition for detecting objects, scenes, and text in images.By the end of The Applied AI and NLP Workshop, you’ll be equipped with the knowledge and skills needed to build scalable intelligent applications with AWS.
Stéphane Eyskens, Ed Price
Azure offers a wide range of services that enable a million ways to architect your solutions. Complete with original maps and expert analysis, this book will help you to explore Azure and choose the best solutions for your unique requirements.Starting with the key aspects of architecture, this book shows you how to map different architectural perspectives and covers a variety of use cases for each architectural discipline. You'll get acquainted with the basic cloud vocabulary and learn which strategic aspects to consider for a successful cloud journey. As you advance through the chapters, you'll understand technical considerations from the perspective of a solutions architect. You'll then explore infrastructure aspects, such as network, disaster recovery, and high availability, and leverage Infrastructure as Code (IaC) through ARM templates, Bicep, and Terraform. The book also guides you through cloud design patterns, distributed architecture, and ecosystem solutions, such as Dapr, from an application architect's perspective. You'll work with both traditional (ETL and OLAP) and modern data practices (big data and advanced analytics) in the cloud and finally get to grips with cloud native security.By the end of this book, you'll have picked up best practices and more rounded knowledge of the different architectural perspectives.
Divit Gupta, Rohit Rahi
As the need for digital transformation and remote work surges, so does the demand for cloud computing. However, the complexity of cloud architecture and the abundance of vendors and tools can be overwhelming for businesses. This book addresses the need for skilled professionals capable of designing, building, and managing scalable and resilient cloud systems to navigate the complex landscape of cloud computing through practical tips and strategies.This comprehensive cloud computing guide offers expertise and best practices for evaluating different cloud vendors and tools. Once you’ve gained a thorough understanding of cloud computing basics, you’ll delve deeper into cloud architecture, its design, and implementation. Armed with this expert insight, businesses can avoid costly mistakes, ensure that their cloud systems are secure and compliant, and build cloud systems that can adapt and grow with the business.By the end of this book, you’ll be proficient in leveraging different vendors and tools to build robust and secure cloud systems to achieve specific goals and meet business requirements.
Steve (Satish) Sangapu, Dheeraj Panyam, Jason Marston
Legacy applications, which comprise 75–80% of all enterprise applications, often end up being stuck in data centers. Modernizing these applications to make them cloud-native enables them to scale in a cloud environment without taking months or years to start seeing the benefits. This book will help software developers and solutions architects to modernize their applications on Google Cloud and transform them into cloud-native applications.This book helps you to build on your existing knowledge of enterprise application development and takes you on a journey through the six Rs: rehosting, replatforming, rearchitecting, repurchasing, retiring, and retaining. You'll learn how to modernize a legacy enterprise application on Google Cloud and build on existing assets and skills effectively. Taking an iterative and incremental approach to modernization, the book introduces the main services in Google Cloud in an easy-to-understand way that can be applied immediately to an application.By the end of this Google Cloud book, you'll have learned how to modernize a legacy enterprise application by exploring various interim architectures and tooling to develop a cloud-native microservices-based application.
Nigel Poulton, Pushkar Joglekar
Kubernetes is a powerful container orchestration platform that enables efficient application deployment, scaling, and management. This book begins with foundational concepts, explaining Kubernetes architecture, control planes, worker nodes, and the declarative model. Readers will learn how to set up a Kubernetes environment using tools like Docker Desktop and cloud-based solutions.The book then covers core operational topics, including Pods, Deployments, Namespaces, and Services, providing hands-on exercises to reinforce learning. Networking, storage, and security are explored in depth, with real-world examples of managing applications, configuring RBAC, and using ConfigMaps and Secrets. Advanced topics such as StatefulSets, the Kubernetes API, and service discovery offer insights into optimizing and securing Kubernetes workloads.Security is a key focus, with chapters dedicated to API security, threat modeling, and real-world Kubernetes security practices. Readers will gain practical knowledge on securing clusters, managing access controls, and mitigating common threats. By the end, they will be equipped with the skills to deploy, scale, and secure Kubernetes environments effectively.
Paola E. Annis, Giuliano Caglio, Marco Barra...
Cloud teams and ICT cost controllers working with Azure will be able to put their knowledge to work with this practical guide, introducing a process model for structured cost governance. The Road to Azure Cost Governance is a must-read if you find yourself facing the harsh reality of monthly cloud costs gradually getting out of control.Starting with how resources are created and managed, everything you need to know in order to track, display, optimize, rightsize, and clean up cloud resources will be tackled with a workflow approach that will leave the choice of operation to you (be it the Azure CLI, automation, logic apps, or even custom code). Using real-world datasets, you'll learn everything from basic cost management to modeling your cloud spend across your technical resources in a sustainable way. The book will also show you how to create a recursive optimization process that will give you full control of spending and savings, while helping you reserve budget for future cloud projects and innovation.By the end of this Azure book, you'll have a clear understanding and control of your cloud spend along with knowledge of a number of cost-saving techniques used by companies around the world, application optimization patterns, and the carbon impact of your cloud infrastructure.
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.
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.
Tworzenie architektury oprogramowania. Wspieranie zespołów w podejmowaniu trafnych decyzji
Andrew Harmel-Law
Rola architekta oprogramowania się zmienia. W miarę jak systemy stają się coraz bardziej złożone, tradycyjny model działania architekta przestaje wystarczać. Zadań jest zbyt wiele, a ich zaniedbanie w końcu doprowadzi do punktu krytycznego. Kluczowe staje się współdziałanie architekta z zespołem projektowym - tylko wtedy możliwe jest tworzenie trwałej, elastycznej i efektywnej architektury. Oto książka pełna praktycznej mądrości, trafiająca w sedno tego, czym jest architektura. Grady Booch, IBM Fellow Tę książkę doceni każdy, kto praktykuje architekturę w ramach i na rzecz zespołu. Dzięki niej zrozumiesz wady scentralizowanych praktyk architektury w zdecentralizowanym świecie. Poznasz też kluczowe aspekty zdecentralizowanego podejścia do architektury opartego na informacji zwrotnej i zasady wdrażania takiego podejścia. Znajdziesz tu omówienie czynników wpływających na efektywność decyzji architektonicznych, a także ich społeczny wymiar - dobra architektura bowiem to nie tylko struktura kodu, ale również jakość współpracy. Dzięki opisanym metodom rozwiniesz sposób myślenia, który pozwala każdemu w zespole praktykować architekturę i budować lepsze systemy. Najciekawsze zagadnienia: jak się zmienia nowoczesny proces dostarczania oprogramowania metodologia łączenia architektury oprogramowania z jego rozwojem współzależność decyzji, architektury i informacji zwrotnej z działających systemów wprowadzanie praktyk maksymalizacji korzyści i minimalizacji ryzyka dostrajanie podejścia do architektury, umiejętności osób w zespole i kultury firmy Najlepsza architektura oprogramowania ewoluuje dzięki zaangażowaniu wszystkich. Martin Fowler, główny badacz w Thoughtworks
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.
Charles E Mills Jr, Chuck Mills
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.
Ryan Cartwright, Charles E Mills Jr
