Gradle Dependency Management

Hubert Klein Ikkink

Hands-On Infrastructure Monitoring with Prometheus. Implement and scale queries, dashboards, and alerting across machines and containers

Joel Bastos, Pedro Araújo

Prometheus is an open source monitoring system. It provides a modern time series database, a robust query language, several metric visualization possibilities, and a reliable alerting solution for traditional and cloud-native infrastructure.This book covers the fundamental concepts of monitoring and explores Prometheus architecture, its data model, and how metric aggregation works. Multiple test environments are included to help explore different configuration scenarios, such as the use of various exporters and integrations. You’ll delve into PromQL, supported by several examples, and then apply that knowledge to alerting and recording rules, as well as how to test them. After that, alert routing with Alertmanager and creating visualizations with Grafana is thoroughly covered. In addition, this book covers several service discovery mechanisms and even provides an example of how to create your own. Finally, you’ll learn about Prometheus federation, cross-sharding aggregation, and also long-term storage with the help of Thanos.By the end of this book, you’ll be able to implement and scale Prometheus as a full monitoring system on-premises, in cloud environments, in standalone instances, or using container orchestration with Kubernetes.

Infrastructure as Code with Azure Bicep. Streamline Azure resource deployment by bypassing ARM complexities

Yaser Adel Mehraban, John Downs, Edmondo Rosini

It’s no secret that developers don’t like using JSON files to declare their resources in Azure because of issues such as parameter duplication and not being able to use comments in templates. Azure Bicep helps resolve these issues, and this book will guide you, as a developer or DevOps engineer, to get the most out of the Bicep language.The book takes you on a journey from understanding Azure Resource Manager (ARM) templates and what their drawbacks are to how you can use Bicep to overcome them. You will get familiar with tools such as Visual Studio Code, the Bicep extension, the Azure CLI, PowerShell, Azure DevOps, and GitHub for writing reusable, maintainable templates. After that, you’ll test the templates and deploy them to an Azure environment either from your own system or via a continuous integration and continuous delivery (CI/CD) pipeline. The book features a detailed overview of all the Bicep features, when to use what, and how to write great templates that fit well into your existing pipelines or in a new one. The chapters progress from easy to advanced topics and every effort has been put into making them easy to follow with examples, all of which are accessible via GitHub.By the end of this book, you’ll have developed a solid understanding of Azure Bicep and will be able to create, test, and deploy your resources locally or in your CI/CD pipelines.

Instant Microsoft Forefront UAG Mobile Configuration Starter. Everything you need to get started with UAG and its features for mobile devices

Fabrizio Volpe

UAG provides your employees, clients, or partners secure remote access to your vital corporate resources, while delivering a seamless integration with your existing network environment. UAG is able to optimize content for different mobile devices, and is also able to publish complex applications in a simple manner. You are also able to integrate UAG with multiple domains and federated authentications, to give the highest quality service in a mobility scenario. Instant Microsoft Forefront UAG Mobile Configuration Starter is a concise and informative book that allows you to set up and start using UAG without any existing knowledge of the area.This book will start by expertly guiding you through the installation and setup of UAG, and then show you how to publish a simple application for mobile devices, in order to familiarize you with concepts and operations that you will use throughout with UAG.The main body of the book focuses on a series of essential, and incredibly practical, recipes and examples designed to help you in utilizing UAG features for their maximum effect. By the end of Instant Microsoft Forefront UAG Mobile Configuration Starter, you will know all the vital information you need to deploy UAG in a successful and efficient manner, in order to tailor the configuration to your company’s specific requirements.

Machine Learning Infrastructure and Best Practices for Software Engineers. Take your machine learning software from a prototype to a fully fledged software system

Miroslaw Staron

Although creating a machine learning pipeline or developing a working prototype of a software system from that pipeline is easy and straightforward nowadays, the journey toward a professional software system is still extensive. This book will help you get to grips with various best practices and recipes that will help software engineers transform prototype pipelines into complete software products.The book begins by introducing the main concepts of professional software systems that leverage machine learning at their core. As you progress, you’ll explore the differences between traditional, non-ML software, and machine learning software. The initial best practices will guide you in determining the type of software you need for your product. Subsequently, you will delve into algorithms, covering their selection, development, and testing before exploring the intricacies of the infrastructure for machine learning systems by defining best practices for identifying the right data source and ensuring its quality.Towards the end, you’ll address the most challenging aspect of large-scale machine learning systems – ethics. By exploring and defining best practices for assessing ethical risks and strategies for mitigation, you will conclude the book where it all began – large-scale machine learning software.

OpenCart Theme and Module Development. Create custom themes and modules using the exciting new features of OpenCart

Rupak Nepali

Applied Geospatial Data Science with Python. Leverage geospatial data analysis and modeling to find unique solutions to environmental problems

David S. Jordan

Data scientists, when presented with a myriad of data, can often lose sight of how to present geospatial analyses in a meaningful way so that it makes sense to everyone. Using Python to visualize data helps stakeholders in less technical roles to understand the problem and seek solutions. The goal of this book is to help data scientists and GIS professionals learn and implement geospatial data science workflows using Python.Throughout this book, you’ll uncover numerous geospatial Python libraries with which you can develop end-to-end spatial data science workflows. You’ll learn how to read, process, and manipulate spatial data effectively. With data in hand, you’ll move on to crafting spatial data visualizations to better understand and tell the story of your data through static and dynamic mapping applications. As you progress through the book, you’ll find yourself developing geospatial AI and ML models focused on clustering, regression, and optimization. The use cases can be leveraged as building blocks for more advanced work in a variety of industries.By the end of the book, you’ll be able to tackle random data, find meaningful correlations, and make geospatial data models.

R for Data Science. Learn and explore the fundamentals of data science with R

Dan Toomey