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Beginning Hybrid Mobile Application Development - Mahesh Panhale - Bog - APress - Plusbog.dk

Navigating Hybrid Scrum Environments - Frederik M. Fowler - Bog - APress - Plusbog.dk

Cloud Data Design, Orchestration, and Management Using Microsoft Azure - Francesco Diaz - Bog - APress - Plusbog.dk

Pro Exchange 2019 and 2016 Administration - Michel De Rooij - Bog - APress - Plusbog.dk

Pro Exchange 2019 and 2016 Administration - Michel De Rooij - Bog - APress - Plusbog.dk

Use this one-stop resource for both basic and advanced administration of Exchange Server 2019 and 2016. It will help you in running an Exchange environment, whether it be 100% on-premises or a hybrid configuration with Exchange Online (as part of Office 365). This revised version is divided into four parts, describing Exchange infrastructure, upgrading Exchange server, integration with Office 365, and security and compliance. In the first part, you will go through a short introduction of Exchange server followed by its installation and configuration. You will learn client access along with Exchange mailbox and managing Exchange recipients. In the second part, you will learn how to upgrade from Exchange 2010 to 2016 and from 2013 to Exchange 2019. The third part is dedicated to the Exchange integration with Office 365, followed by the last part that teaches you how to secure your Exchange environment and its compliance. After reading this book, you will understand best practices, do’s and don’ts, and notes from the field to migrate and work on Exchange 2016 and 2019. What You Will LearnCreate a highly available and redundant Exchange environmentUnderstand security, message hygiene (CEO fraud, for example), and complianceKnow the infrastructure changes in Exchange 2019Integrate and manage hybrid recipientsWho This Book Is ForIT pros who are responsible for building and maintaining an Exchange environment, both on-premises and in a hybrid configuration with Exchange Online

DKK 519.00
1

Pro SQL Server 2022 Administration - Peter A. Carter - Bog - APress - Plusbog.dk

Pro SQL Server 2022 Administration - Peter A. Carter - Bog - APress - Plusbog.dk

Get your daily work done efficiently using this comprehensive guide for SQL Server DBAs that covers all that a practicing database administrator needs to know. Updated for SQL Server 2022, this edition includes coverage of new features, such as Ledger, which provides an immutable record of table history to protect you against malicious data tampering, and integration with cloud providers to support hybrid cloud scenarios. You''ll also find new content on performance optimizations, such as query pan feedback, and security controls, such as new database roles, which are restructured for modern ways of working. Coverage also includes Query Store, installation on Linux, and the use of containerized SQL. Pro SQL Server 2022 Administration takes DBAs on a journey that begins with planning their SQL Server deployment and runs through installing and configuring the instance, administering and optimizing database objects, and ensuring that data is secure and highly available. Readers will learn how to perform advanced maintenance and tuning techniques, and discover SQL Server''s hybrid cloud functionality. This book teaches you how to make the most of new SQL Server 2022 functionality, including integration for hybrid cloud scenarios. The book promotes best-practice installation, shows how to configure for scalability and high availability, and demonstrates the gamut of database-level maintenance tasks, such as index maintenance, database consistency checks, and table optimizations. What You Will Learn - Integrate SQL Server with Azure for hybrid cloud scenarios - Audit changes and prevent malicious data changes with SQL Server''s Ledger - Secure and encrypt data to protect against embarrassing data breaches - Ensure 24 x 7 x 365 access through high availability and disaster recovery features in today''s hybrid world - Use Azure tooling, including Arc, to gain insight into and manage your SQL Server enterprise - Install and configure SQL Server on Windows, Linux, and in containers - Perform routine maintenance tasks, such as backups and database consistency checks - Optimize performance and undertake troubleshooting in the Database Engine Who This Book Is For SQL Server DBAs who manage on-premise installations of SQL Server. This book is also useful for DBAs who wish to learn advanced features, such as integration with Azure, Query Store, Extended Events, and Policy-Based Management, or those who need to install SQL Server in a variety of environments.

DKK 576.00
1

Applied Cryptography in .NET and Azure Key Vault - Stephen Haunts - Bog - APress - Plusbog.dk

Applied Cryptography in .NET and Azure Key Vault - Stephen Haunts - Bog - APress - Plusbog.dk

Benefit from Microsoft''s robust suite of security and cryptography primitives to create a complete, hybrid encryption scheme that will protect your data against breaches. This highly practical book teaches you how to use the .NET encryption APIs and Azure Key Vault, and how they can work together to produce a robust security solution. Applied Cryptography in .NET and Azure Key Vault begins with an introduction to the dangers of data breaches and the basics of cryptography. It then takes you through important cryptographic techniques and practices, from hashing and symmetric/asymmetric encryption, to key storage mechanisms. By the end of the book, you''ll know how to combine these cryptographic primitives into a hybrid encryption scheme that you can use in your applications. Author Stephen Haunts brings 25 years of software development and security experience to the table to give you the concrete skills, knowledge, and code you need to implement the latest encryption standards in your own projects. What You''ll Learn - Get an introduction to the principles of encryption - Understand the main cryptographic protocols in use today, including AES, DES, 3DES, RSA, SHAx hashing, HMACs, and digital signatures - Combine cryptographic techniques to create a hybrid cryptographic scheme, with the benefits of confidentiality, integrity, authentication, and non-repudiation - Use Microsoft''s Azure Key Vault to securely store encryption keys and secrets - Build real-world code to use in your own projects Who This Book Is For Software developers with experience in .NET and C#. No prior knowledge of encryption and cryptographic principles is assumed.

DKK 307.00
1

Understanding Azure Data Factory - Sudhir Rawat - Bog - APress - Plusbog.dk

DKK 519.00
1

Azure Arc-Enabled Kubernetes and Servers - John Joyner - Bog - APress - Plusbog.dk

Azure Arc-Enabled Kubernetes and Servers - John Joyner - Bog - APress - Plusbog.dk

Welcome to this introductory guide to using Microsoft''s Azure Arc service, a new multi-cloud management platform that belongs in every cloud or DevOps estate. As many IT pros know, servers and Azure Kubernetes Service drive a huge amount of consumption in Azure-so why not extend familiar management tools proven in Azure to on-premises and other cloud networks? This practical guide will get you up to speed quickly, with instruction that treads light on the theory and heavy on the hands-on experience to make setting up Azure Arc servers and Kubernetes across multiple clouds a lot less complex. Azure experts and MVPs Buchanan and Joyner provide just the right amount of context so you can grasp important concepts, and get right to the business of using and gaining value from Azure Arc. If your organization has resources across hybrid cloud, multi-cloud, and edge environments, then this book is for you. You will learn how to configure and use Azure Arc to uniformly manage workloads across all of these environments. What You Will Learn - - Introduces the basics of hybrid, multi-cloud, and edge computing and how Azure Arc fits into that IT strategy - Teaches the fundamentals of Azure Resource Manager, setting the reader up with the knowledge needed on the technology that underpins Azure Arc - Offers insights into Azure native management tooling for managing on-premises servers and extending to other clouds - - Details an end-to-end hybrid server monitoring scenario leveraging Azure Monitor and/or Azure Sentinel that is seamlessly delivered by Azure Arc - - Defines a blueprint to achieve regulatory compliance with industry standards using Azure Arc, delivering Azure Policy from Azure Defender for Servers - - Explores how Git and GitHub integrate with Azure Arc; delves into how GitOps is used with Azure Arc - Empowers your DevOps teams to perform tasks that typically fall under IT operations - Dives into how to best use Azure CLI with Azure Arc - Who This Book Is For DevOps, system administrators, security professionals, and IT workers responsible for servers both on-premises and in the cloud. Some experience in system administration, DevOps, containers, and use of Git/GitHub is helpful.

DKK 385.00
1

Troubleshooting and Supporting Windows 11 - Mike Halsey - Bog - APress - Plusbog.dk

Troubleshooting and Supporting Windows 11 - Mike Halsey - Bog - APress - Plusbog.dk

Diagnose, troubleshoot and repair any type of problems on your PC from startup and file access to cloud services and the issues caused by hybrid-work. This book contains everything you need to know to keep PC systems running optimally, and to repair problems quickly and efficiently. This book provides a deep dive into the Windows OS, detailing what everything is, and how it works. You will learn about the in-built, additional, and third-party tools and utilities you can use to create reliable, robust and secure PC systems. Further, you will learn how to configure Windows 11 so as to avoid problems occurring, and how to support every type of end user, working from home, or in any part of the world, speaking any language, and taking into account other factors such as ability or personal barriers. You will discover the support tools and support ecosystem you can use to create and manage effective support tracking and remote access. You will discover how to get detailed events and reliability information, and how to manage update channels. You will deep dive into Windows 11 operating system and folder structure and learn app and software troubleshooting, process and service troubleshooting, network and internet troubleshooting and hardware and peripherals troubleshooting. Finally, you will learn more advanced troubleshooting techniques like security and encryption troubleshooting and using PowerShell scripting to repair problems. Further, you will also learn how to manually remove malware and ransomware, registry troubleshooting and startup and repair troubleshooting. By the end, you will know how to troubleshoot complex problems and diagnose hardware problems in a PC. You will be able to troubleshoot and repair any type of problem on a Windows 11 PC. What Will You Learn - How to support home and hybrid-workers using their own PCs - Using scripting and PowerShell to troubleshoot and repair systems - Managing networking and internet access to minimize downtime - Managing installation and troubleshoot for updates and patches Who Is This Book For IT Pros and system administrators who have to maintain small or large networks of connected PCs locally at their organization, or with hybrid workers.

DKK 391.00
1

Understanding Azure Monitoring - Shijimol Ambi Karthikeyan - Bog - APress - Plusbog.dk

Understanding Azure Monitoring - Shijimol Ambi Karthikeyan - Bog - APress - Plusbog.dk

Explore the architectural constructs of Azure monitoring capabilities and learn various design and implementation aspects for complex use cases. This book covers the different scenarios in a modern-day multi-cloud enterprise and the tools available in Azure for monitoring and securing these environments. Understanding Azure Monitoring starts by discussing the rapid changes happening in the cloud and the challenges faced by cloud architects. You will then look at the basics of Azure monitoring and the available tools, including service level agreements (SLAs), auditing, and security. Next, you will learn how to select the best tools for monitoring, operational strategy, and integration with on-premises SIEM systems. You''ll work through some scenario-based examples to monitor the workload and respond to failures. Here, you will monitor a simple web application on Azure, a multi-region web application, and applications that include PaaS and IaaS services. Towards the end of the book, you will explore monitoring in DevOps and see why it is important to be aware of continuous changes. What You Will Learn - Work with Azure IaaS and PaaS resources and monitoring and diagnostics capabilities - Discover how the operational landscape changes on Azure - Look at cloud-only and on-premises hybrid integration - Study architectural constructs for design and implementation Who This Book Is For Infrastructure and solution architects who want to integrate Azure-based monitoring solutions in a cloud native or hybrid-cloud architecture.

DKK 301.00
1

The Cloud DBA-Oracle - Niraj Mahajan - Bog - APress - Plusbog.dk

The Cloud DBA-Oracle - Niraj Mahajan - Bog - APress - Plusbog.dk

Learn how to define strategies for cloud adoption of your Oracle database landscape. Understand private cloud, public cloud, and hybrid cloud computing in order to successfully design and manage databases in the cloud. The Cloud DBA-Oracle provides an overview of Database-as-a-Service (DBaaS) that you can use in defining your cloud adoption strategy. In-depth details of various cloud service providers for Oracle database are given, including Oracle Cloud and Amazon Web Services (AWS). Database administration techniques relevant to hosting databases in the cloud are shown in the book as well as the technical details needed to perform all database administration tasks and activities, such as migration to the cloud, backup in the cloud, and new database setup in the cloud. You will learn from real-world business cases and practical examples of administration of Oracle database in the cloud, highlighting the challenges faced and solutions implemented. What you will learn: - Cloud computing concepts from the DBA perspective, such as private cloud, public cloud, hybrid cloud - Technical details of all aspects of cloud database administration - Challenges faced during setup of databases in private cloud or database migration to public cloud - Key points to be kept in mind during database administration in the cloud - Practical examples of successful Oracle database cloud migration and support Who Is This Book For All levels of IT professionals, from executives responsible for determining database strategies to database administrators and database architects who manage and design databases.

DKK 385.00
1

Deploying SharePoint 2019 - Vlad Catrinescu - Bog - APress - Plusbog.dk

Deploying SharePoint 2019 - Vlad Catrinescu - Bog - APress - Plusbog.dk

Update to a version of SharePoint that offers the best of both on-premise and the cloud using SharePoint 2019, the latest release of this cornerstone technology from Microsoft. Don your technical learning hat to get up close and confident on the new time-saving modern features of on-premise, and the many new security and hybrid settings. Deploying SharePoint 2019 begins with a general introduction to SharePoint 2019, covering new features and expanding your knowledge and capability with the technology systematically. You will learn about the new world of SharePoint, and how it was "cloud-born" from Office 365. From there you will dive into learning how to design a physical architecture for SharePoint Server 2019 and get familiar with the key concepts of high availability (HA) and disaster recovery (DR) solutions. What You''ll Learn - Install, configure, and optimize SharePoint 2019 - Understand SharePoint 2019 as a hybrid framework - Get comfortable with new tools, such as Flow, PowerApps, and Power BI - Configure systems connected to SharePoint, such as Office Online Server and Workflow Manager - Migrate content and service databases from previous versions of SharePoint to SharePoint 2019 - Implement HA and DR topologies with SharePoint 2019 to satisfy business continuity requirements Who This Book Is For Those tasked with installing, configuring, and maintaining SharePoint Server 2019 for their organization. This book assumes some working knowledge of a previous release of SharePoint Server, such as SharePoint 2013 or SharePoint 2016.

DKK 476.00
1

Azure Arc-enabled Data Services Revealed - Ben Weissman - Bog - APress - Plusbog.dk

Azure Arc-enabled Data Services Revealed - Ben Weissman - Bog - APress - Plusbog.dk

Get introduced to Azure Arc-enabled Data Services and the powerful capabilities to deploy and manage local, on-premises, and hybrid cloud data resources using the same centralized management and tooling you get from the Azure cloud. This book shows how you can deploy and manage databases running on SQL Server and Postgres in your corporate data center or any cloud as if they were part of the Azure platform. This second edition has been updated to the latest codebase, allowing you to use this book as your handbook to get started with Azure Arc-enabled Data Services today. Learn how to benefit from Azure's centralized management, the automated rollout of patches and updates, managed backups, and more. This book is the perfect choice for anyone looking for a hybrid or multi-vendor cloud strategy for their data estate. The authors walk you through the possibilities and requirements to get Azure SQL Managed Instance and PostgresSQL Hyperscale deployed outside of Azure, so the services are accessible to companies that cannot move to the cloud or do not want to use the Microsoft cloud exclusively. The technology described in this book will benefit those required to keep sensitive services, such as medical databases, away from the public cloud equally as those who can’t move to a public cloud for other reasons such as infrastructure constraints but still want to benefit from the Azure cloud and the centralized management and tooling that it supports. What You Will LearnUnderstand the fundamentals and architecture of Azure Arc-enabled data servicesBuild a multi-cloud strategy based on Azure Data ServicesDeploy Azure Arc-enabled data services on premises or in any cloudDeploy Azure Arc-enabled SQL Managed Instance on premises or in any cloudDeploy Azure Arc-enabled PostgreSQL Hyperscale on premises or in any cloudBackupand Restore your data that is managed by Azure Arc-enabled data servicesManage Azure-enabled data services running outside of AzureMonitor Azure-enabled data services through Grafana and KibanaMonitor Azure-enabled data services running outside of Azure through Azure MonitorWho This Book Is ForDatabase administrators and architects who want to manage on-premises or hybrid cloud data resources from the Microsoft Azure cloud. Especially for those wishing to take advantage of cloud technologies while keeping sensitive data on premises and under physical control.

DKK 391.00
1

Deep Neuro-Fuzzy Systems with Python - Yunis Ahmad Lone - Bog - APress - Plusbog.dk

Deep Neuro-Fuzzy Systems with Python - Yunis Ahmad Lone - Bog - APress - Plusbog.dk

Gain insight into fuzzy logic and neural networks, and how the integration between the two models makes intelligent systems in the current world. This book simplifies the implementation of fuzzy logic and neural network concepts using Python. You’ll start by walking through the basics of fuzzy sets and relations, and how each member of the set has its own membership function values. You’ll also look at different architectures and models that have been developed, and how rules and reasoning have been defined to make the architectures possible. The book then provides a closer look at neural networks and related architectures, focusing on the various issues neural networks may encounter during training, and how different optimization methods can help you resolve them. In the last section of the book you’ll examine the integrations of fuzzy logics and neural networks, the adaptive neuro fuzzy Inference systems, and various approximations related to the same. You’ll review different types of deep neuro fuzzy classifiers, fuzzy neurons, and the adaptive learning capability of the neural networks. The book concludes by reviewing advanced neuro fuzzy models and applications. What You’ll LearnUnderstand fuzzy logic, membership functions, fuzzy relations, and fuzzy inferenceReview neural networks, back propagation, and optimizationWork with different architectures such as Takagi-Sugeno model, Hybrid model, genetic algorithms, and approximations Apply Python implementations of deep neuro fuzzy system Who This book Is For Data scientists and software engineers with a basic understanding of Machine Learning who want to expand into the hybrid applications of deep learning and fuzzy logic.

DKK 385.00
1

Applied Recommender Systems with Python - Adarsha Shivananda - Bog - APress - Plusbog.dk

Applied Recommender Systems with Python - Adarsha Shivananda - Bog - APress - Plusbog.dk

This book will teach you how to build recommender systems with machine learning algorithms using Python. Recommender systems have become an essential part of every internet-based business today. You''ll start by learning basic concepts of recommender systems, with an overview of different types of recommender engines and how they function. Next, you will see how to build recommender systems with traditional algorithms such as market basket analysis and content- and knowledge-based recommender systems with NLP. The authors then demonstrate techniques such as collaborative filtering using matrix factorization and hybrid recommender systems that incorporate both content-based and collaborative filtering techniques. This is followed by a tutorial on building machine learning-based recommender systems using clustering and classification algorithms like K-means and random forest. The last chapters cover NLP, deep learning, and graph-based techniques to build a recommender engine. Each chapter includes data preparation, multiple ways to evaluate and optimize the recommender systems, supporting examples, and illustrations. By the end of this book, you will understand and be able to build recommender systems with various tools and techniques with machine learning, deep learning, and graph-based algorithms. What You Will Learn - Understand and implement different recommender systems techniques with Python - Employ popular methods like content- and knowledge-based, collaborative filtering, market basket analysis, and matrix factorization - Build hybrid recommender systems that incorporate both content-based and collaborative filtering - Leverage machine learning, NLP, and deep learning for building recommender systems Who This Book Is For Data scientists, machine learning engineers, and Python programmers interested in building and implementing recommender systems to solve problems.

DKK 391.00
1

Pro Azure Governance and Security - Peter De Tender - Bog - APress - Plusbog.dk

Pro Azure Governance and Security - Peter De Tender - Bog - APress - Plusbog.dk

Any IT professional can tell you that managing security is a top priority and even more so when working in the cloud. Access to accurate and timely security information is critical, but governance and control must first be enabled. This guide shows you how to take advantage of Azure''s vast and powerful built-in security tools and capabilities for your application workloads. Pro Azure Governance and Security offers a comprehensive look at the governance features available with Microsoft Azure and demonstrates how to integrate them with your hybrid and Azure environments, drawing on the author''s experiences from years in the field. Learn about the array of controls implemented within Microsoft Azure from two valuable perspectives: the customer and Microsoft operations. Beginning with the top-level subscription hierarchy, learn about the most important built-in Azure security services and features, as well as how to use Azure Policies and Blueprints as a means for security and governance. A series of hands-on exercises teaches you the concepts of Azure Governance: how to enable and deploy Azure Security Center, integrate RBAC (role-based access control), and set up Azure Operations and Monitoring. Get introduced to the new Azure Sentinel solution that offers SIEM as a service for security incident management and proactive hunting. What You''ll Learn - Understand different architectural designs for implementing Azure Security - Operate and monitor an Azure environment - Deploy Azure Governance, Policies, and Blueprints - Discover key Azure features that enhance security - Implement and confidently access Azure Security Center - Get to know Azure Sentinel Who This Book Is For Technical engineers, consultants, solution and cloud architects, IT managers, and SecOps teams who need to understand how to integrate governance, security, and compliance in hybrid and Azure environments. A basic understanding of Azure or other public cloud platforms is beneficial, but not required.

DKK 468.00
1

Data Fabric and Data Mesh Approaches with AI - Eberhard Hechler - Bog - APress - Plusbog.dk

Data Fabric and Data Mesh Approaches with AI - Eberhard Hechler - Bog - APress - Plusbog.dk

Understand modern data fabric and data mesh concepts using AI-based self-service data discovery and delivery capabilities, a range of intelligent data integration styles, and automated unified data governance-all designed to deliver "data as a product" within hybrid cloud landscapes. This book teaches you how to successfully deploy state-of-the-art data mesh solutions and gain a comprehensive overview on how a data fabric architecture uses artificial intelligence (AI) and machine learning (ML) for automated metadata management and self-service data discovery and consumption. You will learn how data fabric and data mesh relate to other concepts such as data DataOps, MLOps, AIDevOps, and more. Many examples are included to demonstrate how to modernize the consumption of data to enable a shopping-for-data (data as a product) experience. By the end of this book, you will understand the data fabric concept and architecture as it relates to themes such as automated unified data governance and compliance, enterprise information architecture, AI and hybrid cloud landscapes, and intelligent cataloging and metadata management. What You Will Learn - Discover best practices and methods to successfully implement a data fabric architecture and data mesh solution - Understand key data fabric capabilities, e.g., self-service data discovery, intelligent data integration techniques, intelligent cataloging and metadata management, and trustworthy AI - Recognize the importance of data fabric to accelerate digital transformation and democratize data access - Dive into important data fabric topics, addressing current data fabric challenges - Conceive data fabric and data mesh concepts holistically within an enterprise context - Become acquainted with the business benefits of data fabric and data mesh Who This Book Is For Anyone who is interested in deploying modern data fabric architectures and data mesh solutions within an enterprise, including IT and business leaders, data governance and data office professionals, data stewards and engineers, data scientists, and information and data architects. Readers should have a basic understanding of enterprise information architecture.

DKK 519.00
1

Pro SQL Server Relational Database Design and Implementation - Louis Davidson - Bog - APress - Plusbog.dk

Pro SQL Server Relational Database Design and Implementation - Louis Davidson - Bog - APress - Plusbog.dk

Learn effective and scalable database design techniques in SQL Server 2019 and other recent SQL Server versions. This book is revised to cover additions to SQL Server that include SQL graph enhancements, in-memory online transaction processing, temporal data storage, row-level security, and other design-related features. This book will help you design OLTP databases that are high-quality, protect the integrity of your data, and perform fast on-premises, in the cloud, or in hybrid configurations. Designing an effective and scalable database using SQL Server is a task requiring skills that have been around for well over 30 years, using technology that is constantly changing. This book covers everything from design logic that business users will understand to the physical implementation of design in a SQL Server database. Grounded in best practices and a solid understanding of the underlying theory, author Louis Davidson shows you how to "getit right" in SQL Server database design and lay a solid groundwork for the future use of valuable business data. What You Will Learn - Develop conceptual models of client data using interviews and client documentation - Implement designs that work on premises, in the cloud, or in a hybrid approach - Recognize and apply common database design patterns - Normalize data models to enhance integrity and scalability of your databases for the long-term use of valuable data - Translate conceptual models into high-performing SQL Server databases - Secure and protect data integrity as part of meeting regulatory requirements - Create effective indexing to speed query performance - Understand the concepts of concurrency Who This Book Is For Programmers and database administrators of all types who want to use SQL Server to store transactional data. The book is especially useful to those wanting to learn the latest database design features in SQL Server 2019 (features that include graph objects, in-memory OLTP, temporal data support, and more). Chapters on fundamental concepts, the language of database modeling, SQL implementation, and the normalization process lay a solid groundwork for readers who are just entering the field of database design. More advanced chapters serve the seasoned veteran by tackling the latest in physical implementation features that SQL Server has to offer. The book has been carefully revised to cover all the design-related features that are new in SQL Server 2019. -

DKK 593.00
1

Building Microservices Applications on Microsoft Azure - Harsh Chawla - Bog - APress - Plusbog.dk

Building Microservices Applications on Microsoft Azure - Harsh Chawla - Bog - APress - Plusbog.dk

Implement microservices starting with their architecture and moving on to their deployment, manageability, security, and monitoring. This book focuses on the key scenarios where microservices architecture is preferred over a monolithic architecture. Building Microservices Applications on Microsoft Azure begins with a survey of microservices architecture compared to monolithic architecture and covers microservices implementation in detail. You''ll see the key scenarios where microservices architecture is preferred over a monolithic approach. From there, you will explore the critical components and various deployment options of microservices on platforms such as Microsoft Azure (public cloud) and Azure Stack (hybrid cloud). This includes in-depth coverage of developing, deploying, and monitoring microservices on containers and orchestrating with Azure Service Fabric and Azure Kubernetes Cluster (AKS). This book includes practical experience from large-scale enterprise deployments, therefore it can be a quick reference for solution architects and developers to understand the critical factors while designing a microservices application. What You Will Learn - Explore the use cases of microservices and monolithic architecture - Discover the architecture patterns to build scalable, agile, and secure microservices applications - Develop and deploy microservices using Azure Service Fabric and Azure Kubernetes Service - Secure microservices using the gateway pattern - See the deployment options for Microservices on Azure Stack - Implement database patterns to handle the complexities introduced by microservices Who This Book Is For Architects and consultants who work on Microsoft Azure and manage large-scale deployments.

DKK 391.00
1

Architecting and Operating OpenShift Clusters - William Caban - Bog - APress - Plusbog.dk

Architecting and Operating OpenShift Clusters - William Caban - Bog - APress - Plusbog.dk

Design and architect resilient OpenShift clusters and gain a keen understanding of how hundreds of projects are integrated into a powerful solution. While there are many OpenShift resources available for developers, this book focuses on the key elements of infrastructure and operations that teams need when looking to integrate and maintain this platform. You''ll review important concepts, such as repeatable deployment techniques, advanced OpenShift RBAC capabilities, monitoring clusters, and integrating with external services. You''ll also see how to run specialized workloads in OpenShift and how to deploy non-web based applications on the platform, all designed to help cultivate best practices as your organization continue evolve in microservices architectures. OpenShift has become the main enterprise Kubernetes distribution and its market penetration continues to growth at rapid rate. While OpenShift''s documentation provides a great list of configuration options to work with the platform, it can be a daunting task to wade through. Architecting and Operating OpenShift Clusters breaks this content down into clear and useful concepts to provide you with a solid understanding of the OpenShift internal architecture. What You''ll Learn - - Operate high availability in muti-tenant OCP clusters - Understand OpenShift SDN models, capabilities, and storage classes - Integrate OCP with existing data center capabilities and CI/CD pipelines - - Support advanced capabilities like: Istio, Multus, Kubernetes Operators, hybrid deployments - Who This Book Is For Cloud architects, OpenShift cluster administrators, and teams supporting developers in OpenShift environments who have a basic understanding of this platform and microservices architectures.

DKK 604.00
1

Beginning AWS Security - Tasha Penwell - Bog - APress - Plusbog.dk

Beginning AWS Security - Tasha Penwell - Bog - APress - Plusbog.dk

Improve cloud security within your organization by leveraging AWS’s Shared Responsibility Model, Well-Architected Framework, and the Cloud Adoption Framework. This book will show you to use these tools to make the best decisions for securing your cloud environment. You’ll start by understanding why security is important in the cloud and then review the relevant services offered to meet an organization’s needs. You’ll then move on to the finer points of building a secure architecture and take a deep look into the differences of responsibility of managed services and those that allow customers more control. With multiple AWS services available, organizations must weigh the tradeoffs between those that provide granular control (IaaS), a managed service (PaaS), delivering applications remotely over the internet instead of locally on machines (SaaS). This book will help you to identify the appropriate resources and show you how to implement them to meet an organization’s business, technical, and security perspective in the Cloud Adoption Framework. Finally, you'll see how organizations can launch a secure and optimized cloud architecture and use monitoring tools to be proactive in security measures. With Beginning AWS Security, you'll understand frameworks, models, and the services needed to build a secure architecture. You will:Review the similarities and differences between cloud and traditional computing. See how security changes when using on-site, hybrid, and cloud modelsDevelop an understanding that security is not “one and done” Reinforce the need for updates and monitoring as a continued part of AWS securityWho This Book Is ForCloud computing architects, security professionals, security engineers, and software professionals interested in Cloud security.

DKK 290.00
1

Cloud Attack Vectors - Brian Chappell - Bog - APress - Plusbog.dk

Cloud Attack Vectors - Brian Chappell - Bog - APress - Plusbog.dk

Cyberattacks continue to increase in volume and sophistication, targeting everything owned, managed, and serviced from the cloud. Today, there is widespread consensus—it is not a matter of if, but rather when an organization will be breached. Threat actors typically target the path of least resistance. With the accelerating adoption of cloud technologies and remote work, the path of least resistance is shifting in substantive ways. In recent years, attackers have realigned their efforts, focusing on remaining undetected, monetization after exploitation, and publicly shaming organizations after a breach. New, innovative, and useful products continue to emerge and offer some cloud protection, but they also have distinct limitations. No single, standalone solution or strategy can effectively protect against all cloud attack vectors or identify all malicious activity. The simple fact is that the cloud is based on a company’s assets being offered as services. As a result, the best security any organization can achieve is to establish controls and procedures in conjunction with services that are licensed in the cloud. Cloud Attack Vectors details the risks associated with cloud deployments, the techniques threat actors leverage, the empirically-tested defensive measures organizations should adopt, and shows how to improve detection of malicious activity. What You’ll LearnKnow the key definitions pertaining to cloud technologies, threats, and cybersecurity solutionsUnderstand how entitlements, permissions, rights, identities, accounts, credentials, and exploits can be leveraged to breach a cloud environmentImplement defensive and monitoring strategies to mitigate cloud threats, including those unique to cloud and hybrid cloud environmentsDevelop a comprehensive model for documenting risk, compliance, and reporting based on your cloud implementation Who This Book Is ForNew security professionals, entry-level cloud security engineers, managers embarking on digital transformation, and auditors looking to understand security and compliance risks associated with the cloud

DKK 476.00
1

Beginning Kubernetes on the Google Cloud Platform - Ernesto Garbarino - Bog - APress - Plusbog.dk

Beginning Kubernetes on the Google Cloud Platform - Ernesto Garbarino - Bog - APress - Plusbog.dk

Use this beginner''s guide to understand and work with Kubernetes on the Google Cloud Platform and go from single monolithic Pods (the smallest unit deployed and managed by Kubernetes) all the way up to distributed, fault-tolerant stateful backing stores. You need only a familiarity with Linux, Bash, and Python to successfully use this book. Proficiency in Docker or cloud technology is not required. You will follow a learn-by-doing approach, running small experiments and observing the effects. Google open sourced Kubernetes in 2015 and now it is the industry standard in container orchestration. It has been adopted by all leading vendors of cloud, on-prem, and hybrid infrastructure services: Microsoft (Azure AKS), Amazon (AWS EKS), IBM (IBM Cloud Kubernetes Services), Alibaba Cloud (ACK), RedHat (OpenShift), and Pivotal (PKS). Even though Kubernetes is offered by all of the market-leading cloud providers, the Google Cloud Platform (GCP) offers an integrated shell (Google Cloud Shell) and a $300 credit to get started, which makes it the ideal platform to not only learn Kubernetes but also to implement final production workloads. What You Will Learn - Set up a Kubernetes cluster in GCP - Deploy simple Docker images using monolithic Pods - Arrange highly available and highly scalable applications using Deployments - Achieve zero-downtime deployments using the Service controller - Externalize configuration using ConfigMaps and Secrets - Set up batch processes and recurrent tasks using Jobs and CronJobs - Install horizontal (sidecar pattern) services using DaemonSets - Implement distributed, stateful backing stores using StatefulSets Who This Book Is For Beginners with basic Linux admin and scripting skills (Bash and Python). Proficiency with Docker is not required as all examples in the book use off-the-shelf public images from Docker Hub.

DKK 468.00
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Microsoft Azure - Marshall Copeland - Bog - APress - Plusbog.dk

Microsoft Azure - Marshall Copeland - Bog - APress - Plusbog.dk

Gain the technical and business insight needed to plan, deploy, and manage the services provided by the Microsoft Azure cloud. This second edition focuses on improving operational decision tipping points for the professionals leading DevOps and security teams. This will allow you to make an informed decision concerning the workloads appropriate for your growing business in the Azure public cloud. Microsoft Azure starts with an introduction to Azure along with an overview of its architecture services such as IaaS and PaaS. You''ll also take a look into Azure''s data, artificial intelligence, and machine learning services. Moving on, you will cover the planning for and adoption of Azure where you will go through budgeting, cloud economics, and designing a hybrid data center. Along the way, you will work with web apps, network PaaS, virtual machines, and much more. The final section of the book starts with Azure data services and big data with an in-depth discussion of Azure SQL Database, CosmosDB, Azure Data Lakes, and MySQL. You will further see how to migrate on-premises databases to Azure and use data engineering. Next, you will discover the various Azure services for application developers, including Azure DevOps and ASP.NET web apps. Finally, you will go through the machine learning and AI tools in Azure, including Azure Cognitive Services. What You Will Learn Apply design guidance and best practices using Microsoft Azure to achieve business growth Create and manage virtual machines Work with AI frameworks to process and analyze data to support business decisions and increase revenue Deploy, publish, and monitor a web app Who This Book Is For Azure architects and business professionals looking for Azure deployment and implementation advice.

DKK 509.00
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Data Science Solutions with Python - Tshepo Chris Nokeri - Bog - APress - Plusbog.dk

Data Science Solutions with Python - Tshepo Chris Nokeri - Bog - APress - Plusbog.dk

Apply supervised and unsupervised learning to solve practical and real-world big data problems. This book teaches you how to engineer features, optimize hyperparameters, train and test models, develop pipelines, and automate the machine learning (ML) process. The book covers an in-memory, distributed cluster computing framework known as PySpark, machine learning framework platforms known as scikit-learn, PySpark MLlib, H2O, and XGBoost, and a deep learning (DL) framework known as Keras. The book starts off presenting supervised and unsupervised ML and DL models, and then it examines big data frameworks along with ML and DL frameworks. Author Tshepo Chris Nokeri considers a parametric model known as the Generalized Linear Model and a survival regression model known as the Cox Proportional Hazards model along with Accelerated Failure Time (AFT). Also presented is a binary classification model (logistic regression) and an ensemble model (Gradient Boosted Trees). The book introduces DL and an artificial neural network known as the Multilayer Perceptron (MLP) classifier. A way of performing cluster analysis using the K-Means model is covered. Dimension reduction techniques such as Principal Components Analysis and Linear Discriminant Analysis are explored. And automated machine learning is unpacked. This book is for intermediate-level data scientists and machine learning engineers who want to learn how to apply key big data frameworks and ML and DL frameworks. You will need prior knowledge of the basics of statistics, Python programming, probability theories, and predictive analytics. What You Will LearnUnderstand widespread supervised and unsupervised learning, including key dimension reduction techniquesKnow the big data analytics layers such as data visualization, advanced statistics, predictive analytics, machine learning, and deep learningIntegrate big data frameworks with a hybrid of machine learning frameworks and deep learning frameworksDesign, build, test, and validate skilled machine models and deep learning modelsOptimize model performance using data transformation, regularization, outlier remedying, hyperparameter optimization, and data split ratio alteration Who This Book Is ForData scientists and machine learning engineers with basic knowledge and understanding of Python programming, probability theories, and predictive analytics

DKK 307.00
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