Informatyka
UNMESH GUNDECHA
This book is an incremental guide that will help you learn and use the advanced features of the Selenium toolset including the WebDriver API in various situations to build a reliable test automation. You start off by setting up the test development environment and gain tips on the advanced locater strategy and the effective use of the Selenium WebDriver API. After that, the use of design patterns such as data - driven tests and PageFactory are demonstrated. You will then be familiarised with extending Selenium WebDriver API by implementing custom tasks and setting up your own distributed environment to run tests in parallel for cross-browser testing.Finally, we give you some tips on integrating Selenium WebDriver with other popular tools and testing mobile applications. By the end of this book, you will have learned enough to solve complex testing issues on your own.
UNMESH GUNDECHA
Web technologies are becoming increasingly complex and there is a need to test your web applications against a vast number of browsers and platforms, so you need to build highly reliable and maintainable test automation. This book will help you test your web applications effectively and efficiently with Selenium WebDriver.Selenium Testing Tools Cookbook is an incremental guide that will help you learn and use advanced features of Selenium WebDriver API in various situations for building reliable test automation. You will learn how to effectively use features of Selenium using simple and detailed examples. This book will also teach you best practices, design patterns, and how to extend Selenium.Selenium Testing Tools Cookbook shows developers and testers who already use Selenium, how to go to the next step and build a highly maintainable and reliable test framework using advanced features of the tool.The book starts with tips on advanced location strategy and effective use of Selenium WebDriver API. Then it demonstrates the use of design patterns such as Data Driven Tests and PageFactory for building maintainable test automation. It also explains extending Selenium WebDriver API along with implementing custom tasks and setting up your own distributed environment to run tests in parallel.It concludes with tips on integrating Selenium WebDriver with other popular tools, testing mobile web applications, and capturing videos of test runs. This books provides examples in Java, C#, Ruby, and Python.Selenium Testing Tools Cookbook will help you in building a highly robust and maintainable test automation framework from start to finish.
Pinakin Chaubal
Selenium WebDriver is a platform-independent API for automating the testing of both browser and mobile applications. It is also a core technology in many other browser automation tools, APIs, and frameworks. This book will guide you through the WebDriver APIs that are used in automation tests.Chapter by chapter, we will construct the building blocks of a page object model framework as you learn about the required Java and Selenium methods and terminology.The book starts with an introduction to the same-origin policy, cross-site scripting dangers, and the Document Object Model (DOM). Moving ahead, we'll learn about XPath, which allows us to select items on a page, and how to design a customized XPath. After that, we will be creating singleton patterns and drivers. Then you will learn about synchronization and handling pop-up windows. You will see how to create a factory for browsers and understand command design patterns applicable to this area.At the end of the book, we tie all this together by creating a framework and implementing multi-browser testing with Selenium Grid.
Sven Vermeulen
If you are a Linux system administrator or a Linux-based service administrator and want to fine-tune SELinux to implement a supported, mature, and proven access control system, then this book is for you. Basic experience with SELinux enabled distributions is expected.
Mohit Gupta
Serverless Architecture with AWS begins with an introduction to the serverless model and helps you get started with AWS and Lambda. You'll also get to grips with other capabilities of the AWS Serverless Platform and see how AWS supports enterprise-grade serverless applications with and without Lambda.This book will guide you in deploying your first serverless project and exploring the capabilities of serverless Amazon Athena, an interactive query service that makes it easy to analyze data in Amazon Simple Storage Service (S3 Amazon) using standard SQL. You’ll also learn about AWS Glue, a fully managed ETL service that makes categorizing data easy and cost-effective. You'll study how Amazon Kinesis makes it possible to unleash the potential of real-time data insights and analytics with capabilities such as video streams, data streams, data firehose, and data analytics. Last but not least, you’ll be equipped to combine Amazon Kinesis capabilities with AWS Lambda to create lightweight serverless architectures.By the end of the book, you will be ready to create and run your first serverless application that takes advantage of the high availability, security, performance, and scalability of AWS.
Serverless computing in Azure with .NET. Build, test, and automate deployment
Sasha Rosenbaum
Serverless architecture allows you to build and run applications and services without having to manage the infrastructure. Many companies have started adopting serverless architecture for their applications to save cost and improve scalability. This book will be your companion in designing Serverless architecture for your applications using the .NET runtime, with Microsoft Azure as the cloud service provider. You will begin by understanding the concepts of Serverless architecture, its advantages and disadvantages. You will then set up the Azure environment and build a basic application using a sample text sentiment evaluation function. From here, you will be shown how to run services in a Serverless environment. We will cover the integration with other Azure and 3rd party services such as Azure Service Bus, as well as configuring dependencies on NuGet libraries, among other topics. After this, you will learn about debugging and testing your Azure functions, and then automating deployment from source control. Securing your application and monitoring its health will follow from there, and then in the final part of the book, you will learn how to Design for High Availability, Disaster Recovery and Scale, as well as how to take advantage of the cloud pay-as-you-go model to design cost-effective services. We will finish off with explaining how azure functions scale up against AWS Lambda, Azure Web Jobs, and Azure Batch compare to other types of compute-on-demand services.Whether you’ve been working with Azure for a while, or you’re just getting started, by the end of the book you will have all the information you need to set up and deploy applications to the Azure Serverless Computing environment.
Brian Zambrano
Serverless applications handle many problems that developers face when running systems and servers. The serverless pay-per-invocation model can also result in drastic cost savings, contributing to its popularity. While it's simple to create a basic serverless application, it's critical to structure your software correctly to ensure it continues to succeed as it grows. Serverless Design Patterns and Best Practices presents patterns that can be adapted to run in a serverless environment. You will learn how to develop applications that are scalable, fault tolerant, and well-tested. The book begins with an introduction to the different design pattern categories available for serverless applications. You will learn thetrade-offs between GraphQL and REST and how they fare regarding overall application design in a serverless ecosystem. The book will also show you how to migrate an existing API to a serverless backend using AWS API Gateway. You will learn how to build event-driven applications using queuing and streaming systems, such as AWS Simple Queuing Service (SQS) and AWS Kinesis. Patterns for data-intensive serverless application are also explained, including the lambda architecture and MapReduce. This book will equip you with the knowledge and skills you need to develop scalable and resilient serverless applications confidently.
Noritaka Sekiyama, Albert Quiroga, Tomohiro Tanaka, Subramanya...
Building a modern data platform is no longer just about moving data. Organizations must scale reliably, control costs, enforce governance, and accelerate analytics. This book shows you how to design and operate production-grade data platforms using AWS Glue and related AWS analytics services.You will begin with core data management concepts before moving into ingestion from diverse sources, data preparation strategies, metadata management, security controls, and cross-account data sharing. Learn how to design efficient data layouts, orchestrate pipelines, implement CI CD practices, and manage the full lifecycle of data integration workloads.This updated edition expands coverage of open table formats such as Apache Hudi, Delta Lake, and Apache Iceberg, along with performance tuning, observability, cost optimization, and real-world troubleshooting. You will also explore integrations with machine learning and generative AI workflows powered by Glue and SageMaker.Written by AWS engineers and architects with deep hands-on experience in large-scale enterprise data lakes, this guide blends architecture principles with real-world implementation insight.By the end of this book, you will be able to design, deploy, monitor, and optimize scalable serverless ETL pipelines and governed data platforms on AWS.