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Containerized Docker Application Lifecycle with Microsoft Platform and Tools
Containerized Docker Application Lifecycle with Microsoft Platform and Tools

Enterprises are increasingly adopting containers. The enterprise is realizing the benefits of cost savings, solution to deployment problems, and DevOps and production operations improvements that containers provide. Over the last years, Microsoft has been rapidly releasing container innovations to the Windows and Linux ecosystems – partnering with industry leaders like Docker and Mesosphere to deliver container solutions that help companies build and deploy applications at cloud speed and scale, whatever their choice of platform or tools. This guide provides end-to-end guidance on the Docker application development lifecycle with Microsoft tools and services while providing an introduction to Docker development concepts for readers who might be new to the Docker ecosystem. This way, anyone can understand the global picture and start planning development projects based on Docker and Microsoft technologies/cloud. ...
.NET Microservices
.NET Microservices

This guide is an introduction to developing microservices-based applications and managing them using containers. It discusses architectural design and implementation approaches using .NET Core and Docker containers. To make it easier to get started with containers and microservices, the guide focuses on a reference containerized and microservice-based application that you can explore. This guide provides foundational development and architectural guidance primarily at a development environment level with a focus on two main technologies: Docker and .NET Core. Our intention is that you read this guide when thinking about your application design without focusing on the infrastructure (cloud or on-premises) of your production environment. You will make decisions about your infrastructure later, when you create your production-ready applications. Therefore, this guide is intended to be infrastructure agnostic and more development-environment-centric. ...
Windows Server 2019 Inside Out
Windows Server 2019 Inside Out

Dive into Windows Server 2019 - and really put your Windows Serverexpertise to work. Focusing on Windows Server 2019's most powerful and innovative features, this supremely organized reference packs hundreds of timesaving solutions, tips, and workarounds - all you need to plan, implement, or manage Windows Server in enterprise, data center, cloud, and hybrid environments. Fully reflecting new innovations for security, hybrid cloud environments, and Hyper-Converged Infrastructure (HCI), it covers everything from cluster sets to Windows Subsystem for Linux. You'll discover how experts tackle today's essential tasks - and challenge yourself to new levels of mastery. Optimize the full Windows Server 2019 lifecycle, from planning and configuration through rollout and administration; Leverage new configuration options including App Compatibility Features on Demand (FOD) or Desktop Experience; Ensure fast, reliable upgrades and migrations; Manage Windows servers, clients, and services ...
SQL Server 2019 Administration Inside Out
SQL Server 2019 Administration Inside Out

Dive into SQL Server 2019 administration - and really put your SQL Server DBA expertise to work. This supremely organized reference packs hundreds of timesaving solutions, tips, and workarounds - all you need to plan, implement, manage, and secure SQL Server 2019 in any production environment: on-premises, cloud, or hybrid. Six experts thoroughly tour DBA capabilities available in SQL Server 2019 Database Engine, SQL Server Data Tools, SQL Server Management Studio, PowerShell, and Azure Portal. You'll find extensive new coverage of Azure SQL, big data clusters, PolyBase, data protection, automation, and more. Discover how experts tackle today's essential tasks - and challenge yourself to new levels of mastery. Explore SQL Server 2019's toolset, including the improved SQL Server Management Studio, Azure Data Studio, and Configuration Manager; Design, implement, manage, and govern on-premises, hybrid, or Azure database infrastructures; Install and configure SQL Server on Windows and L ...
Spring Boot Persistence Best Practices
Spring Boot Persistence Best Practices

This book is a collection of developer code recipes and best practices for persisting data using Spring, particularly Spring Boot. The book is structured around practical recipes, where each recipe discusses a performance case or performance-related case, and almost every recipe has one or more applications. Mainly, when we try to accomplish something (e.g., read some data from the database), there are several approaches to do it, and, in order to choose the best way, you have to know the implied trades-off from a performance perspective. You'll see that in the end, all these penalties slow down the application. Besides presenting the arguments that favor a certain choice, the application is written in Spring Boot style which is quite different than plain Hibernate. Persistence is an important set of techniques and technologies for accessing and using data, and this book demonstrates that data is mobile regardless of specific applications and contexts. In Java development, persisten ...
Jakarta EE Recipes
Jakarta EE Recipes

Take a problem-solution approach to programming enterprise Java applications and microservices for cloud-based solutions, enterprise database applications, and even small business web applications. This book provides effective and proven code snippets that you can immediately use to accomplish just about any task that you may encounter. You can feel confident using the reliable solutions that are demonstrated in this book in your personal or corporate environment. Java EE was made open source under the Eclipse Foundation, and Jakarta EE is the new name for what used to be termed the Java Enterprise Edition Platform. This book helps you rejuvenate your Java expertise and put the platform's latest capabilities to use in quickly developing robust applications. If you are new to Jakarta EE, this book will help you learn features of the platform, and benefit from one of the most widely used and powerful technologies available for application development today. Examples in Jakarta EE R ...
Unlocking Blockchain on Azure
Unlocking Blockchain on Azure

Design, architect, and build Blockchain applications with Azure in industrial scenarios to revolutionize conventional processes and data security. This book will empower you to build better decentralized applications that have stronger encryption, better architectures, and effective deployment structures over the cloud. You'll start with an overview of Blockchain, distributed networks, Azure components in Blockchain, such as Azure Workbench, and independent Blockchain-as-a-service solutions. Next, you'll move on to aspects of Blockchain transactions where the author discusses encryption and distribution along with practical examples. You'll cover permissioned Blockchains and distributed ledgers with the help of use cases of financial institutions, followed by code and development aspects of smart contracts. Here, you will learn how to utilise the templates provided by Azure Resource Manager to quickly develop an Ethereum-based smart contract. Further, you will go through Blockcha ...
Hands-On Machine Learning with C++
Hands-On Machine Learning with C++

C++ can make your machine learning models run faster and more efficiently. This handy guide will help you learn the fundamentals of machine learning (ML), showing you how to use C++ libraries to get the most out of your data. This book makes machine learning with C++ for beginners easy with its example-based approach, demonstrating how to implement supervised and unsupervised ML algorithms through real-world examples. This book will get you hands-on with tuning and optimizing a model for different use cases, assisting you with model selection and the measurement of performance. You'll cover techniques such as product recommendations, ensemble learning, and anomaly detection using modern C++ libraries such as PyTorch C++ API, Caffe2, Shogun, Shark-ML, mlpack, and dlib. Next, you'll explore neural networks and deep learning using examples such as image classification and sentiment analysis, which will help you solve various problems. Later, you'll learn how to handle production and de ...
Mastering Large Datasets with Python
Mastering Large Datasets with Python

Modern data science solutions need to be clean, easy to read, and scalable. In Mastering Large Datasets with Python, author J.T. Wolohan teaches you how to take a small project and scale it up using a functionally influenced approach to Python coding. You'll explore methods and built-in Python tools that lend themselves to clarity and scalability, like the high-performing parallelism method, as well as distributed technologies that allow for high data throughput. The abundant hands-on exercises in this practical tutorial will lock in these essential skills for any large-scale data science project. Programming techniques that work well on laptop-sized data can slow to a crawl - or fail altogether - when applied to massive files or distributed datasets. By mastering the powerful map and reduce paradigm, along with the Python-based tools that support it, you can write data-centric applications that scale efficiently without requiring codebase rewrites as your requirements change. Ma ...
SQL Server Big Data Clusters
SQL Server Big Data Clusters

Use this guide to one of SQL Server 2019's most impactful features - Big Data Clusters. You will learn about data virtualization and data lakes for this complete artificial intelligence (AI) and machine learning (ML) platform within the SQL Server database engine. You will know how to use Big Data Clusters to combine large volumes of streaming data for analysis along with data stored in a traditional database. For example, you can stream large volumes of data from Apache Spark in real time while executing Transact-SQL queries to bring in relevant additional data from your corporate, SQL Server database. Filled with clear examples and use cases, this book provides everything necessary to get started working with Big Data Clusters in SQL Server 2019. You will learn about the architectural foundations that are made up from Kubernetes, Spark, HDFS, and SQL Server on Linux. You then are shown how to configure and deploy Big Data Clusters in on-premises environments or in the cloud. Next, ...
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