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Kubernetes is a powerful container orchestration platform that can significantly improve the way developers build, test, and deploy applications. In 'Kubernetes for Developers,' you'll learn essential Kubernetes concepts and master practical skills to containerize, run, and manage your code efficiently.What this Book will help me doBuild and encapsulate your applications within containers using Docker.Debug and deploy containerized applications in a Kubernetes environment.Implement and manage configurations for your applications through Kubernetes declarative tools.Monitor and optimize services to ensure efficiency and reliability in Kubernetes.Leverage continuous integration and troubleshooting techniques in Kubernetes workflows.Author(s)Joseph Heck is a veteran software engineer and cloud technology expert with decades of industry experience. With a passion for teaching, he is known for his approachable and pragmatic style in explaining technical concepts. Through this book, he shares hands-on lessons about Kubernetes tailored to the developer's perspective, making sophisticated orchestration topics accessible.Who is it for?This book is tailored for software developers, including full-stack and back-end engineers, who are looking to enhance their skills with Kubernetes. Especially focused on those utilizing Node.js and Python, its practical examples address common development and deployment tasks. If you aim to integrate Kubernetes into your development workflow or bring consistency to your deployment processes, this guide is for you.

This textbook provides semester-length coverage of the basics of embedded programming to develop robotics-related projects. The author avoids the typical, theoretical approach of teaching students to develop embedded software using formal methods in order to emphasize practical and fun projects.

Django is a Python web framework that makes the web development process very easy. It reduces the amount of trivial code, which simplifies the creation of web applications and results in faster development. It is very powerful and a great choice for creating RESTful web services. If you are a Python developer and want to efficiently create RESTful web services with Django for your apps, then this is the right book for you. The book starts off by showing you how to install and configure the environment, required software, and tools to create RESTful web services with Django and the Django REST framework. We then move on to working with advanced serialization and migrations to interact with SQLite and non-SQL data sources. We will use the features included in the Django REST framework to improve our simple web service. Further, we will create API views to process diverse HTTP requests on objects, go through relationships and hyperlinked API management, and then discover the necessary steps to include security and permissions related to data models and APIs. We will also apply throttling rules and run tests to check that versioning works as expected. Next we will run automated tests to improve code coverage. By the end of the book, you will be able to build RESTful web services with Django.

This comprehensive guide shows you how to use the APIs provided by Java EE to create RESTful web services. You will learn how to use the different JAX-RS APIs in depth. You wil delve into the structure of web services and communicate and share data between applications. Throughout this course, you will develop several fully functional web services.

\"Use ASP.NET Core 2 to create durable and cross-platform web APIs through a series of applied, practical scenarios. Examples in this book help you build APIs that are fast and scalable. You'll progress from the basics of the framework through to solving the complex problems encountered in implementing secure RESTful services. The book is packed full of examples showing how Microsoft's ground-up rewrite of ASP.NET Core 2 enables native cross-platform applications that are fast and modular, allowing your cloud-ready server applications to scale as your business grows. Major topics covered in the book include the fundamentals and core concepts of ASP.NET Core 2. You'll learn about building RESTful APIs with the MVC pattern using proven best practices and following the six principles of REST. Examples in the book help in learning to develop world-class web APIs and applications that can run on any platform, including Windows, Linux, and MacOS. You can even deploy to Microsoft Azure and automate your delivery by implementing Continuous Integration and Continuous Deployment pipelines.\"-- Provided by publisher.

Leverage OpenTelemetry's API, libraries, tools and the collector to produce and collect telemetry along with using open-source tools to analyze distributed traces, check metrics and logs, and gain insights into application health Key Features Get to grips with OpenTelemetry, an open-source cloud-native software observability standardUse vendor-neutral tools to instrument applications to produce better telemetry and improve observabilityUnderstand how telemetry data can be correlated and interpreted to understand distributed systems Book Description Cloud-Native Observability with OpenTelemetry is a guide to helping you look for answers to questions about your applications. This book teaches you how to produce telemetry from your applications using an open standard to retain control of data. OpenTelemetry provides the tools necessary for you to gain visibility into the performance of your services. It allows you to instrument your application code through vendor-neutral APIs, libraries and tools. By reading Cloud-Native Observability with OpenTelemetry, you’ll learn about the concepts and signals of OpenTelemetry - traces, metrics, and logs. You’ll practice producing telemetry for these signals by configuring and instrumenting a distributed cloud-native application using the OpenTelemetry API. The book also guides you through deploying the collector, as well as telemetry backends necessary to help you understand what to do with the data once it's emitted. You’ll look at various examples of how to identify application performance issues through telemetry. By analyzing telemetry, you’ll also be able to better understand how an observable application can improve the software development life cycle. By the end of this book, you’ll be well-versed with OpenTelemetry, be able to instrument services using the OpenTelemetry API to produce distributed traces, metrics and logs, and more. What you will learn Understand the core concepts of OpenTelemetryExplore concepts in distributed tracing, metrics, and loggingDiscover the APIs and SDKs necessary to instrument an application using OpenTelemetryExplore what auto-instrumentation is and how it can help accelerate application instrumentationConfigure and deploy the OpenTelemetry CollectorGet to grips with how different open-source backends can be used to analyze telemetry dataUnderstand how to correlate telemetry in common scenarios to get to the root cause of a problem Who this book is for This book is for software engineers, library authors, and systems operators looking to better understand their infrastructure, services and applications by leveraging telemetry data like never before. Working knowledge of Python programming is assumed for the example applications that you’ll be building and instrumenting using the OpenTelemetry API and SDK. Some familiarity with Go programming, Linux, and Docker is preferable to help you set up additional components in various examples throughout the book.

Learning Analytics can provide powerful tools for teachers in order to support them in the iterative process of improving the effectiveness of their courses and to collaterally enhance their students' performance. In this paper, we present the theoretical background, design, implementation, and evaluation details of eLAT, a Learning Analytics Toolkit, which enables teachers to explore and correlate learning object usage, user properties, user behavior, as well as assessment results based on graphical indicators. The primary aim of the development of eLAT is to process large data sets in microseconds with regard to individual data analysis interests of teachers and data privacy issues, in order to help them to self-reflect on their technology-enhanced teaching and learning scenarios and to identify opportunities for interventions and improvements.

Master REST Assured for real-world API testing, schema validation, GPath techniques, and hands-on practice with JSON, XML, and target applications. Key Features: Mastering all core features of REST AssuredAdvanced use of REST Assured to extract explicit data from an HTTP responseTest and validate against both XML and JSON Schemas. course Description: Join our comprehensive REST Assured course, a guided journey into the essentials of REST API testing. Begin with software setup and real-world applications such as the Video Game Database and Football Data API. Create an IntelliJ project, install REST Assured, and dive into practical exercises. Learn REST Assured fundamentals, from base class setup to request and response specifications, and configuring files. The course covers object serialization, validation against XML and JSON schemas, and response time measurement. Delve into GPath for JSON, starting with basic find operations. Additionally, you will become skilled at extracting data from responses, including headers and explicit data using JSON path. . Explore advanced features such as ‘findAll’ for extracting multiple data points, and apply functions such as ‘Min’, ‘Max’, ‘Collect’, and ‘Sum’. Combine finds with parameters for precision. For XML data, master GPath mirroring, including attributes, node extraction, depth-first searches, and node filtering based on conditions. By the end of the course, you will possess a profound understanding of REST Assured and its advanced capabilities. What you will learn: . Explore request and response specsLearn to create API test base class. Understand how to measure response time. Learn how to handle all HTTP verbs. Explore advanced Groovy GPATH assertions. Understand the validation of XML and JSON schemas. Who this course is for: This course is designed for those seeking a swift and efficient grasp of REST Assured’s fundamental features. While no prerequisites are necessary, having some basic knowledge of Java can enhance your learning experience. Familiarity with API concepts is beneficial but not essential. This course accommodates learners with minimal Java and API testing background.