Building Python Web APIs with FastAPI. A fast-paced guide to building high-performance, robust web APIs with very little boilerplate code

Abdulazeez Abdulazeez Adeshina

RESTful web services are commonly used to create APIs for web-based applications owing to their light weight and high scalability. This book will show you how FastAPI, a high-performance web framework for building RESTful APIs in Python, allows you to build robust web APIs that are simple and intuitive and makes it easy to build quickly with very little boilerplate code.This book will help you set up a FastAPI application in no time and show you how to use FastAPI to build a REST API that receives and responds to user requests. You’ll go on to learn how to handle routing and authentication while working with databases in a FastAPI application. The book walks you through the four key areas: building and using routes for create, read, update, and delete (CRUD) operations; connecting the application to SQL and NoSQL databases; securing the application built; and deploying your application locally or to a cloud environment.By the end of this book, you’ll have developed a solid understanding of the FastAPI framework and be able to build and deploy robust REST APIs.

Zabbix 1.8 Network Monitoring. Monitor your network hardware, servers, and web performance effectively and efficiently

Rihards Olups

Imagine you're celebrating the start of the weekend with Friday-night drinks with a few friends. And then suddenly your phone rings -- one of the servers you administer has gone down, and it needs to be back up before tomorrow morning. So you drag yourself back to the office, only to discover that some log files have been growing more than usual over the past few weeks and have filled up the hard drive. While the scenario above is very simplistic, something similar has happened to most IT workers at one or another point in their careers. To avoid such situations this book will teach you to monitor your network hardware, servers, and web performance using Zabbix- an open source system monitoring and reporting solution.The versatility of Zabbix allows monitoring virtually anything, but getting started with the new concepts can take some time. This book will take you through the most common tasks in a hands-on, step by step manner.Zabbix is a very flexible IT monitoring suite, but not every part of it is immediately clear to new users. Following the instructions in this book should allow you to set up monitoring of various metrics on various devices, including Linux and Windows machines, SNMP devices, IPMI enabled server,s and other network attached equipment. You will learn to define conditions – such a temperature being too high or service being down – and act upon them by notifying user by email, SMS, or even restarting service. You will learn to visualize the gathered data with graphs and the various tips and tricks that are provided will help to use Zabbix more efficiently and avoid common pitfalls.This book covers setting up Zabbix from the scratch and gradually introduces basic components of Zabbix, moving to more advanced topics later. Book's scope is based on the author's experience of working with Zabbix for many years, as well as on the questions users have asked on the Zabbix IRC channel and forums.

Data Lakehouse in Action. Architecting a modern and scalable data analytics platform

Pradeep Menon

The Data Lakehouse architecture is a new paradigm that enables large-scale analytics. This book will guide you in developing data architecture in the right way to ensure your organization's success.The first part of the book discusses the different data architectural patterns used in the past and the need for a new architectural paradigm, as well as the drivers that have caused this change. It covers the principles that govern the target architecture, the components that form the Data Lakehouse architecture, and the rationale and need for those components. The second part deep dives into the different layers of Data Lakehouse. It covers various scenarios and components for data ingestion, storage, data processing, data serving, analytics, governance, and data security. The book's third part focuses on the practical implementation of the Data Lakehouse architecture in a cloud computing platform. It focuses on various ways to combine the Data Lakehouse pattern to realize macro-patterns, such as Data Mesh and Data Hub-Spoke, based on the organization's needs and maturity level. The frameworks introduced will be practical and organizations can readily benefit from their application.By the end of this book, you'll clearly understand how to implement the Data Lakehouse architecture pattern in a scalable, agile, and cost-effective manner.

Learning ArcGIS Pro 2. A beginner's guide to creating 2D and 3D maps and editing geospatial data with ArcGIS Pro - Second Edition

Tripp Corbin

Armed with powerful tools to visualize, maintain, and analyze data, ArcGIS Pro 2 is Esri's newest desktop geographic information system (GIS) application that uses the modern ribbon interface and a 64-bit processor to make using GIS faster and more efficient. This second edition of Learning ArcGIS Pro will show you how you can use this powerful desktop GIS application to create maps, perform spatial analysis, and maintain data.The book begins by showing you how to install ArcGIS and listing the software and hardware prerequisites. You’ll then understand the concept of named user licensing and learn how to navigate the new ribbon interface to leverage the power of ArcGIS Pro for managing geospatial data. Once you’ve got to grips with the new interface, you’ll build your first GIS project and understand how to use the different project resources available. The book shows you how to create 2D and 3D maps by adding layers and setting and managing the symbology and labeling. You’ll also discover how to use the analysis tool to visualize geospatial data. In later chapters, you’ll be introduced to Arcade, the new lightweight expression language for ArcGIS, and then advance to creating complex labels using Arcade expressions. Finally, you'll use Python scripts to automate and standardize tasks and models in ArcGIS Pro.By the end of this ArcGIS Pro book, you’ll have developed the core skills needed for using ArcGIS Pro 2.x competently.

Hands-On Kubernetes on Azure. Automate management, scaling, and deployment of containerized applications - Second Edition

Nills Franssens, Shivakumar Gopalakrishnan, Gunther Lenz

From managing versioning efficiently to improving security and portability, technologies such as Kubernetes and Docker have greatly helped cloud deployments and application development.Starting with an introduction to Docker, Kubernetes, and Azure Kubernetes Service (AKS), this book will guide you through deploying an AKS cluster in different ways. You’ll then explore the Azure portal by deploying a sample guestbook application on AKS and installing complex Kubernetes apps using Helm. With the help of real-world examples, you'll also get to grips with scaling your application and cluster. As you advance, you'll understand how to overcome common challenges in AKS and secure your application with HTTPS and Azure AD (Active Directory). Finally, you’ll explore serverless functions such as HTTP triggered Azure functions and queue triggered functions.By the end of this Kubernetes book, you’ll be well-versed with the fundamentals of Azure Kubernetes Service and be able to deploy containerized workloads on Microsoft Azure with minimal management overhead.

What's New in TensorFlow 2.0. Use the new and improved features of TensorFlow to enhance machine learning and deep learning

Ajay Baranwal, Alizishaan Khatri, Tanish Baranwal

TensorFlow is an end-to-end machine learning platform for experts as well as beginners, and its new version, TensorFlow 2.0 (TF 2.0), improves its simplicity and ease of use. This book will help you understand and utilize the latest TensorFlow features.What's New in TensorFlow 2.0 starts by focusing on advanced concepts such as the new TensorFlow Keras APIs, eager execution, and efficient distribution strategies that help you to run your machine learning models on multiple GPUs and TPUs. The book then takes you through the process of building data ingestion and training pipelines, and it provides recommendations and best practices for feeding data to models created using the new tf.keras API. You'll explore the process of building an inference pipeline using TF Serving and other multi-platform deployments before moving on to explore the newly released AIY, which is essentially do-it-yourself AI. This book delves into the core APIs to help you build unified convolutional and recurrent layers and use TensorBoard to visualize deep learning models using what-if analysis.By the end of the book, you'll have learned about compatibility between TF 2.0 and TF 1.x and be able to migrate to TF 2.0 smoothly.

Applied Machine Learning and High-Performance Computing on AWS. Accelerate the development of machine learning applications following architectural best practices

Mani Khanuja, Farooq Sabir, Shreyas Subramanian, Trenton Potgieter

Machine learning (ML) and high-performance computing (HPC) on AWS run compute-intensive workloads across industries and emerging applications. Its use cases can be linked to various verticals, such as computational fluid dynamics (CFD), genomics, and autonomous vehicles.This book provides end-to-end guidance, starting with HPC concepts for storage and networking. It then progresses to working examples on how to process large datasets using SageMaker Studio and EMR. Next, you’ll learn how to build, train, and deploy large models using distributed training. Later chapters also guide you through deploying models to edge devices using SageMaker and IoT Greengrass, and performance optimization of ML models, for low latency use cases.By the end of this book, you’ll be able to build, train, and deploy your own large-scale ML application, using HPC on AWS, following industry best practices and addressing the key pain points encountered in the application life cycle.

Moodle 3 E-Learning Course Development. Create highly engaging and interactive e-learning courses with Moodle 3 - Fourth Edition

Susan Smith Nash, William Rice

Moodle is a learning platform or Course Management System (CMS) that is easy toinstall and use, but the real challenge is in developing a learning process that leverages its power and maps the learning objectives to content and assessments for an integrated and effective course. Moodle 3 E-Learning Course Development guides you through meeting that challenge in a practical way.This latest edition will show you how to add static learning material, assessments, and social features such as forum-based instructional strategy, a chat module, and forums to your courses so that students reach their learning potential. Whether you want tosupport traditional class teaching or lecturing, or provide complete online and distancee-learning courses, this book will prove to be a powerful resource throughoutyour use of Moodle.You’ll learn how to create and integrate third-party plugins and widgets in your Moodle app, implement site permissions and user accounts, and ensure the security of content and test papers. Further on, you’ll implement PHP scripts that will help you create customized UIs for your app. You’ll also understand how to create your first Moodle VR e-learning app using the latest VR learning experience that Moodle 3 has to offer.By the end of this book, you will have explored the decisions, design considerations, andthought processes that go into developing a successful course.