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Kubernetes for Developers
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.
eBook
Django RESTful web services
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.
eBook
API development : a practical guide for business implementation success
Implement application programming interface (API) usability, security, availability, reliability, and scalability to extend your company's market and potentially generate revenue. Businesses know they need to extend their markets into the digital world, and expose internal data to the Internet. This book shows how stakeholders within an organization can make it a successful journey. Stakeholder needs are not identical and departments experience difficulties discussing requirements with each other due to their different fundamental understanding of the process. The goal of this book is to introduce a common language for all business groups - developers, security experts, architects, product managers - around APIs and provide an overview of all aspects that need to be considered when exposing internal data. Most of the content in this book is based on feedback from real-world enterprise customer questions, challenges, and business scenarios. Practical guidance is provided on the business value of APIs, the general requirements to know, and how to undertake an audience-based implementation. You will learn how to protect access to data, as well as API error handling, documentation, management, integration, and more.
Book
Java Deep Learning Projects
Build and deploy powerful neural network models using the latest Java deep learning libraries Key Features * Understand DL with Java by implementing real-world projects * Master implementations of various ANN models and build your own DL systems * Develop applications using NLP, image classification, RL, and GPU processing Book Description Java is one of the most widely used programming languages. With the rise of deep learning, it has become a popular choice of tool among data scientists and machine learning experts. Java Deep Learning Projects starts with an overview of deep learning concepts and then delves into advanced projects. You will see how to build several projects using different deep neural network architectures such as multilayer perceptrons, Deep Belief Networks, CNN, LSTM, and Factorization Machines. You will get acquainted with popular deep and machine learning libraries for Java such as Deeplearning4j, Spark ML, and RankSys and you'll be able to use their features to build and deploy projects on distributed computing environments. You will then explore advanced domains such as transfer learning and deep reinforcement learning using the Java ecosystem, covering various real-world domains such as healthcare, NLP, image classification, and multimedia analytics with an easy-to-follow approach. Expert reviews and tips will follow every project to give you insights and hacks. By the end of this book, you will have stepped up your expertise when it comes to deep learning in Java, taking it beyond theory and be able to build your own advanced deep learning systems. What you will learn * Master deep learning and neural network architectures * Build real-life applications covering image classification, object detection, online trading, transfer learning, and multimedia analytics using DL4J and open-source APIs * Train ML agents to learn from data using deep reinforcement learning * Use factorization machines for advanced movie recommendations * Train DL models on distributed GPUs for faster deep learning with Spark and DL4J * Ease your learning experience through 69 FAQs Who this book is for If you are a data scientist, machine learning professional, or deep learning practitioner keen to expand your knowledge by delving into the practical aspects of deep learning with Java, then this book is what you need! Get ready to build advanced deep learning models to carry out complex numerical computations. Some basic understanding of machine learning concepts and a working knowledge of Java are required.
eBook
Building RESTful Web Services with Java EE 8
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.
eBook
Building Applications with Spring 5 and Kotlin
This book helps you get a deep understanding of Spring and how it can make your life easier. This collection of projects demonstrates the versatility of the language and enables you to build standalone applications. The book unveils the latest features of Kotlin and walks you through the building blocks that form the basis of writing applications.
eBook