Bücher veröffentlicht von APress

Build IoT solutions for the enterprise using open-source building blocks from the Eclipse IoT Working Group at the Eclipse Foundation. This book introduces you to key protocols and their implementations, such as CoAP (Eclipse Californium), DDS (Eclipse Cyclone DDS), LwM2M (Eclipse Leshan), and MQTT (Eclipse Paho, Eclipse Mosquitto, and Eclipse Amlen). You will learn about Edge Computing platforms (Eclipse ioFog, Eclipse Kanto), IoT gateways (Eclipse Kura, Eclipse Kapua), and next-generation edge native protocols (Eclipse zenoh).The book also covers production-ready platforms for digital twins (Eclipse Ditto), energy management (Eclipse VOLTTRON), contactless payments (Eclipse Keyple), and much more.Although the book discusses hardware matters, its focus is on software and relevant open standards. The book helps you understand the pros and cons of the technologies available from Eclipse IoT and how they have been used in actual deployments. The examples provided cover a variety of use cases, such as industrial automation, smart agriculture, digital buildings, robotics, and others.The book's contents follow a reference architecture encompassing constrained devices (things), edge devices (gateways, servers), and IoT Cloud platforms. For each of those three pillars, you will learn about relevant open-source components. Usage of code libraries and frameworks is explained through code samples. You will also learn how to deploy and configure platform-type components and how to leverage them. Special attention will be paid to security and edge computing throughout the book. What You Will LearnDescribe in your own words the main software components required in an IoT architectureSelect the appropriate IoT protocols, components, frameworks, and platforms for a specific projectEvaluate the connectivity options at your disposal and select the most appropriate onesExplain the value of business models focused on open-source components and deploy such models in your organizationDetermine if edge computing is relevant to a project and deploy the relevant components on an edge computing platformBuild Enterprise IoT solutions leveraging an array of open-source components and platforms using popular languages such as C, Java, and RustWho This Book Is ForDevelopers new to enterprise IoT who want to learn about fundamental technologies for that market segment and seek an introduction to relevant, open-source building blocks; experienced IoT developers who seek alternatives to the proprietary platforms they are currently using; software architects designing IoT solutions who want to understand open-source technology options

This book takes developers on a journey into the cloud with Docker and Kubernetes. It walks you through the basics of Docker containers, how they are built, run, and published, and how the Kubernetes system allows you to use containers to better manage a cloud native application. Additionally, it walks you through various issues in cloud architecture, and how to design a cloud architecture that will work with your application and your team. The book takes a unique approach, getting you immersed in each subject with tutorials, then building up your technical knowledge, and finally backing up and thinking about more big-picture issues. Part one introduces Docker, building and working with Docker images, and covering best practices for Docker Containers. Part two covers the practicalities of "cloud native¿ and managing a Kubernetes application, including a full working example. The last part covers the design of cloud and microservice architectures, includingthe use of enterprise message queues, multi-site configurations and the common values that such architectures follow.This approach accelerates learning and keeps you moving forward without leaving you behind. The appendices also contain a wealth of worthwhile reference material for routine cloud application management.What You Will LearnUnderstand Docker and containerizationGain insight into what Kubernetes isMaster essential cloud architecture design principlesDesign and implement notes for building cloud architecturesWho This Book Is ForPrimarily developers who are moving to the cloud and want to get a sense of the environment they are getting into, and developers who want to move into a larger role of cloud architecture.

IOUG Press

This unique open access book applies the functional OCaml programming language to numerical or computational weighted data science, engineering, and scientific applications. This book is based on the authors' first-hand experience building and maintaining Owl, an OCaml-based numerical computing library. You'll first learn the various components in a modern numerical computation library. Then, you will learn how these components are designed and built up and how to optimize their performance. After reading and using this book, you'll have the knowledge required to design and build real-world complex systems that effectively leverage the advantages of the OCaml functional programming language. What You Will LearnOptimize core operations based on N-dimensional arraysDesign and implement an industry-level algorithmic differentiation moduleImplement mathematical optimization, regression, and deep neural network functionalities based on algorithmic differentiationDesign and optimize a computation graph module, and understand the benefits it brings to the numerical computing libraryAccommodate the growing number of hardware accelerators (e.g. GPU, TPU) and execution backends (e.g. web browser, unikernel) of numerical computationUse the Zoo system for efficient scripting, code sharing, service deployment, and compositionDesign and implement a distributed computing engine to work with a numerical computing library, providing convenient APIs and high performance Who This Book Is For Those with prior programming experience, especially with the OCaml programming language, or with scientific computing experience who may be new to OCaml. Most importantly, it is for those who are eager to understand not only how to use something, but also how it is built up.

This book introduces reinforcement learning with mathematical theory and practical examples from quantitative finance using the TensorFlow library.Reinforcement Learning for Finance begins by describing methods for training neural networks. Next, it discusses CNN and RNN ¿ two kinds of neural networks used as deep learning networks in reinforcement learning. Further, the book dives into reinforcement learning theory, explaining the Markov decision process, value function, policy, and policy gradients, with their mathematical formulations and learning algorithms. It covers recent reinforcement learning algorithms from double deep-Q networks to twin-delayed deep deterministic policy gradients and generative adversarial networks with examples using the TensorFlow Python library. It also serves as a quick hands-on guide to TensorFlow programming, covering concepts ranging from variables and graphs to automatic differentiation, layers, models, andloss functions.After completing this book, you will understand reinforcement learning with deep q and generative adversarial networks using the TensorFlow library.What You Will LearnUnderstand the fundamentals of reinforcement learningApply reinforcement learning programming techniques to solve quantitative-finance problemsGain insight into convolutional neural networks and recurrent neural networksUnderstand the Markov decision processWho This Book Is ForData Scientists, Machine Learning engineers and Python programmers who want to apply reinforcement learning to solve problems.

It doesn¿t matter if you are completely new to Cisco ACI or you already have some experience with the technology, this book will guide you through the whole implementation lifecycle and provide you with a comprehensive toolset to become confident in any ACI-related task. In the beginning, it¿s very important to build strong fundamental knowledge about Cisco ACI components. We'll go through underlay networking based on Nexus 9000 switches and describe the APIC controller cluster acting as the management plane of ACI. By building Access Policies, you'll see how to optimally connect servers, storage, routers, switches, or L4-L7 service devices to ACI. Then we'll properly design and implement Logical Application Policies. You will understand all the fabric forwarding behavior when using different ACI settings and architectures while getting a toolset on how to verify and troubleshoot eventual problems. This book also covers external L2 and L3 connectivity in ACI,more advanced features like integration with virtualization hypervisors and Kubernetes, service chaining of L4-L7 devices using Service Graphs, or practical approach to using REST API automation based on Python and Ansible/Terraform.Cisco ACI: Zero to Hero can additionally be used as a valuable source of theoretical and practical knowledge for all candidates preparing for CCIE DC v3.0 Written or Lab exams.What You'll LearnUnderstand network evolution and Cisco ACI components Underlay ACI networking based on Nexus 9000 switches, APIC controllers, and Application Policy ModelIntegrate ACI with virtualization hypervisors and KubernetesDynamically and seamlessly include L4-L7 service devices in communication between ACI endpoints Build ACI Anywhere: ACI Multi-Tier, Stretched Fabric, Multi-POD, Multi-Site, and Remote LeafUtilize ACI REST API with Python, related Cobra SDK, Ansible or Terraform, to develop automation and scripts on top of the ACI platformWho This Book Is ForNetwork engineers, architects, network developers, administrators or NOC technicians.

Pro Freeware and Open Source Solutions for Business is a practical guide for the small business owner seeking viable alternative to expensive commercial software packages and subscriptions. This comprehensive look at the powerful alternatives to expensive proprietary software provides an illustrated overview of no-cost software solutions.In this book you will find free and open source solutions for office productivity, PDF creation, accounting, image editing and graphic design, desktop publishing, 3D design, CAD, audio and video editing, website and blog creation, customer relationship management, point of sale, networking and security, and alternatives to the Windows and Macintosh operating systems. This guide helps free the cost-conscious business owner from the bonds of expensive proprietary software by exploring the free and powerful alternatives that exist. You can save a substantial sums of money by replacing just a few commercial software titles with free and open source solutions. Learn how with Pro Freeware and Open Source Solutions for Business today.

This book is a guide to productionizing AI solutions using best-of-breed cloud services with workarounds to lower costs. Supplemented with step-by-step instructions covering data import through wrangling to partitioning and modeling through to inference and deployment, and augmented with plenty of Python code samples, the book has been written to accelerate the process of moving from script or notebook to app.From an initial look at the context and ecosystem of AI solutions today, the book drills down from high-level business needs into best practices, working with stakeholders, and agile team collaboration. From there yoüll explore data pipeline orchestration, machine and deep learning, including working with and finding shortcuts using artificial neural networks such as AutoML and AutoAI. Yoüll also learn about the increasing use of NoLo UIs through AI application development, industry case studies, and finally a practical guide to deploying containerized AI solutions.The book is intended for those whose role demands overcoming budgetary barriers or constraints in accessing cloud credits to undertake the often difficult process of developing and deploying an AI solution.What You Will LearnDevelop and deliver production-grade AI in one monthDeploy AI solutions at a low costWork around Big Tech dominance and develop MVPs on the cheapCreate demo-ready solutions without overly complex python scripts/notebooks Who this book is for:Data scientists and AI consultants with programming skills in Python and driven to succeed in AI.

Teaches you how and what to study in order to be best prepared for the Certified OpenStack Administrator exam. This fast-growing technology is creating a market that needs more qualified IT specialists with proven skills. This book covers 100% of the exam requirements for both The OpenStack Foundation and the Mirantis OpenStack Certification Exam.Each theme is taught using practical exercises and instructions for the command line and for the graphical client (Horizon). Each chapter is followed by review questions, complete with answers. Even after you have taken and passed your OpenStack exam, this book will remain a useful reference. What You Will LearnUnderstand the components that make up the cloud.Install and make an OpenStack distribution from Mirantis, Red Hat or another community version.Work with OpenStack Identity Management, Dashboard, CLI, Object Storage, Block Storage, Networking, Telemetry, Orchestration, and Image Services.Learn how to troubleshoot all the main OpenStack services.Understand where to find information for future work with OpenStack.Who This Book Is ForCertified OpenStack Administrator Study Guide is for Cloud and Linux engineers looking for a better understanding of how to work with the modern OpenStack IaaS Cloud, and wants to prove their knowledge by passing a Certified OpenStack Administrator Exam. 

This book illustrates how data can be useful in solving business problems. It explores various analytics techniques for using data to discover hidden patterns and relationships, predict future outcomes, optimize efficiency and improve the performance of organizations. Yoüll learn how to analyze data by applying concepts of statistics, probability theory, and linear algebra. In this new edition, both R and Python are used to demonstrate these analyses. Practical Business Analytics Using R and Python also features new chapters covering databases, SQL, Neural networks, Text Analytics, and Natural Language Processing.Part one begins with an introduction to analytics, the foundations required to perform data analytics, and explains different analytics terms and concepts such as databases and SQL, basic statistics, probability theory, and data exploration. Part two introduces predictive models using statistical machine learning and discusses concepts like regression, classification, and neural networks. Part three covers two of the most popular unsupervised learning techniques, clustering and association mining, as well as text mining and natural language processing (NLP). The book concludes with an overview of big data analytics, R and Python essentials for analytics including libraries such as pandas and NumPy.Upon completing this book, you will understand how to improve business outcomes by leveraging R and Python for data analytics.What You Will LearnMaster the mathematical foundations required for business analyticsUnderstand various analytics models and data mining techniques such as regression, supervised machine learning algorithms for modeling, unsupervised modeling techniques, and how to choose the correct algorithm for analysis in any given taskUse R and Python to develop descriptive models, predictive models, and optimize modelsInterpret and recommend actions based on analytical model outcomesWho This Book Is ForSoftware professionals and developers, managers, and executives who want to understand and learn the fundamentals of analytics using R and Python.

Use this practical guide to analyze and troubleshoot SQL Server performance using wait statistics. You'll learn to identify precisely why your queries are running slowly. And you'll know how to measure the amount of time consumed by each bottleneck so you can focus attention on making the largest improvements first. This edition is updated to cover analysis of wait statistics current with SQL Server 2022. Whether you are new to wait statistics, or already familiar with them, this book provides a deeper understanding on how wait statistics are generated and what they mean for your SQL Server instance¿s performance. The book goes beyond the most common wait types into the more complex and performance-threatening wait types. Yoüll learn about per-query wait statistics and session-based wait statistics, and the types of problems they can help you solve. The different wait types are categorized by their area of impact, including CPU, IO, Latching, Locking, and many more.Clear examples are included to help you gain practical knowledge of why and how specific wait times increase or decrease, how they impact your SQL Server¿s performance, and what you can do to improve performance. After reading this book, you won¿t want to be without the valuable information that wait statistics provide regarding where you should be spending your limited tuning time to maximize performance and value to your business. What You'll LearnUnderstand how the SQL Server engine processes requestsIdentify resource bottlenecks in a running SQL Server instanceLocate wait statistics information inside DMVs and Query StoreAnalyze the root cause of sub-optimal performanceDiagnose I/O contention and locking contentionBenchmark SQL Server performanceImprove database performance by lowering overall wait time Who This Book Is ForDatabase administrators who want to identify and resolve performance bottlenecks, those who want to learn more about how the SQL Server engine accesses and uses resources inside SQL Server, and administrators concerned with achieving¿and knowing they have achieved¿optimal performance

Gain insights into the different challenges that can be solved using Go, with a focus on containers, Linux, security, networking, user interfaces and other relevant cloud based topics. This book reviews the necessary tools to create container-based cloud solutions with Go, a programming language that was born out of the need to address scalable, high availability cloud computing architecture needs inside Google. Go, also known as Golang, has been adopted across different industries and products with many popular Open Source projects that power cloud computing technologies such as Docker and Kubernetes being written with Go. As the complexity of cloud technology increases, so does the need for people to understand how things work under-the-hood and to fix them when they¿re broken. What You Will LearnUnderstand how the various components of a container-based system worksTackle complex technical issues using GoIntegrate tools that can be used as part of your daily operational needsBuild system-based productsWho This Book Is For Developers and Engineers familiar with Go who want to know how different parts of the system work and who want to write command line tools. It will also be beneficial to programmers who already have a system-level understanding and want to use Go to build tools for existing projects and applications.

Learn the fundamentals of serverless applications and how to take advantage of time-tested Amazon Web Services (AWS) to build scalable apps. This book shows you how to work with the key features of your applications with minimum code, simple CLI commands and one-click deployments. You'll see how to manage authentication, standard UI components, database storage, filesystem, CI/CD pipeline and more. You'll also examine the architecture, strengths, scalability, and limitations of serverless, and how to use AWS Amplify effectively. You will use tools including React, Cognito, GraphQL, DynamoDB, Kinesis, and Sagemaker.AWS Amplify is the fastest and easiest way to build serverless web and mobile apps at scale, comprising tools and services that work independently and can be wired together to build scalable apps.You will:Build GraphQL and REST APIsModel data with Amplify DatastoresSet up a CI/CD pipeline with AmplifyRecord and make sense of user data analytics with KinesisBoost your application with AI/ML capability using Sagemaker

Go from the basics of using Ansible to becoming proficient at implementing configuration management in your projects. This book uses a unique approach to teaching Ansible and configuration management while including realistic examples in its day-to-day use from server-based infrastructure to Amazon cloud-based deployments.Practical Ansible is separated into seven chapters that allow you to build your knowledge with each chapter, developing further as we move through the examples provided. It begins with the basics of Ansible, providing you with details on how to install and configure your environment while working with different Ansible modules from the command line. Next, it introduces you to working with Ansible tasks and organizing configuration code into playbooks. The book then shows you how to extend playbooks further, using roles and templates within the configuration code. Then, it extends your knowledge further by covering custom Ansible modules using Python and Linux shell scripts, and demonstrating how you can start to keep your secret values encrypted and secure using Ansible Vault. You'll also extend Ansible roles with the use of Ansible Galaxy to reuse existing roles other users have created. The second half of the book moves configuration management to the Amazon cloud providing an introduction on what Amazon Web Services are, and how you can start to work with Ansible roles in AWS. The AWS examples use EC2 and CloudFormation services with Ansible template functions, Ansible Pull, and Ansible Git code deployment. The final part of the book includes a demonstration on how to use the numerous tools available to both Ansible and supporting libraries and modules to allow you to troubleshoot and test your configuration code before you deploy your changes to production systems. By the end of this book, you will have the skills for managing technology configuration management. You will be ready to work on real-world projects and be able to implement Ansible in your own technology projects. What You Will Learn Understand the basics of Ansible and how to install and configure the application on your systemMake changes to your system using Ansible directly in the command line using some of the more common Ansible modulesGroup your modules together as tasks in Ansible playbooks for more efficient deployment of configuration changesUse Ansible roles to help group and reuse configuration management changes and deploymentsSearch for community-created roles using Ansible Galaxy and how you can also host your own Ansible roles Deploy code to Amazon Web Services and how to utilize different AWS services in your deployment projectsUse external modules and libraries such as Molecule and Ansible Lint to help test your configurations before the configuration code is deployed Who This Book Is ForSystem administrators, DevOps engineers, software engineers, and developers wanting to extend their current knowledge of computer systems and incorporate Ansible as a configuration management tool within them.

Explore Automated Market Makers (AMMs), the underlying protocols used by decentralized exchanges (DEX) to allow users to perform trades of cryptocurrencies in a decentralized way with no middlemen. This book provides a thorough study and a clear-cut exposition of the principal AMMs (Uniswap v2 and v3, Balancer, and Curve).You'll receive a detailed description of how these AMMs work, unveiling the mathematics behind them and showing plenty of examples as well as novel proofs for several interesting facts. Each chapter describes an AMM's core idea and derives the mathematical formulas used in the code, giving careful explanations of the logical thinking involved and detailing the steps needed to reach those formulas. All these explanations are complemented with thoughtfully chosen examples which further help to enlighten the readers on how the formulae work. In addition, the relevant parts of the codes of the AMMs are shown after explaining each formula sothat the actual implementation of the formulae can be seen.In a traditional trading market a buy order has to be matched with a sell order to achieve a trade. However, for an AMM, users trade against the protocol itself, a smart contract, or a community pool of funds. In simple terms this is an open source computer program in which mathematical formulas define prices. Automated Market Makers examines this critical point revealing that no banks or intermediaries are necessary, giving crucial financial access to a much larger crowd, regardless of who they are with less barriers to access.What You'll LearnUnderstand the principals of decentralized finance (DeFi)Grasp mathematical formulae that underpin decentralized exchangesWork with Solidity programming languageReview current industry best practices Who This Book Is ForThose new to Blockchain and Cryptocurrency trading, who want to learn more about AMMsDevelopers who want to dive deeper into the core features of AMM platformsInvestors and venture capitalists who want to know more about new emerging technologies

SAS ODS graphics users will learn in this book how to visually understand and communicate the significance of data to deliver images for quick and easy insight, with precise numbers. Many charts or plots require the viewer to run the eye from a bar end or plot point to some point on an axis, and then to interpolate between tick marks to estimate the value. Some design choices can lead to wrong conclusions or mistaken impressions. Graphic software relies on defaults to deliver something if you make a minimal effort, but that something is not likely to be exactly what you want. Visual Data Insights Using SAS ODS Graphics provides examples using experience-based design principles. It presents examples of bar charts, pie charts, and trend lines or time series plots, the graph types commonly used in business, other organizations, and the media for visual insight into data. Newer graphs are also included: dot plots, needle plots, waterfall charts, butterflycharts, heat maps, bubble plots, step plots, high-low plots, and donut charts. In addition, there are basic tools of statistics: scatter plots, box plots, histograms, fit and confidence plots, and distributions. Author LeRoy Bessler introduces unique creations, including sparsely annotated time series, maximally informative bar charts, better box plots, histograms based on interesting atypical rationales, and much more.The examples use SAS sample data sets as input. Any SAS user can experiment with the code presented to see what else is possible, or adapt it to repurpose the design and apply it with a customized version of that code.What Yoüll LearnCreate graphs that are easily and quickly interpreted, and without ambiguitySupply precise data values that are correct on the graph and correctly associated with the graphic visual elementsTake advantage of widely applicable (but not necessarily available elsewhere) design examplesAvoid bad practices that are encouraged by poor examples elsewhereGet past sub-optimal designs and results that are built into software defaultsTake advantage of less familiar capabilities available in the softwareWho This Book Is ForSAS software users who want to understand their data and/or visually deliver their results

Create, edit, modify and convert multimedia files using FFmpeg, the most versatile open source audio and video processing tool available for Linux, Mac and Windows users. After reading this book, you will be able to work with video and audio files, images, text, animations, fonts, subtitles and metadata like a pro.It begins with a simple introduction to FFmpeg executables ¿ ffmpeg, ffprobe and ffplay, and explains how you can use them to process multimedia containers, streams, audio channels, maps and metadata. It then describes how you can easily edit, enhance and convert audio, video, image and text files. There are dedicated chapters for filters, audio, subtitles and metadata, as well as FFmpeg tips and tricks. Sample lists of FFmpeg filters, encoders, decoders, formats and codecs are also available as appendices.Quick Start Guide to FFmpeg is for anyone who needs to edit or process multimedia files including studio professionals, broadcast personnel, content creators, podcasters, librarians, archivists and webmasters. It will be indispensable for those wanting to process a variety of multimedia files from the command line and inside shell scripts or custom-built software.You Will Learn To:Convert from one format to another e.g. video-to-video, video-to-audio, video-to-image, image-to-video, video-to-animation, animation-to-video, text-to-audio, text-to-videoEdit video files by cutting them with and without re-encoding, appending, resizing, changing frame rate and aspect ratio, mixing in audioUse filters to rotate, flip, crop, overlay (side-by-side or inset), remove logos, blur, smooth and sharpen, apply transitions as well as speed up or down playbackEdit audio files by changing, normalizing or compressing volume, mixing and splitting channels and detecting silence. Also, learn to generate waveforms as video or imagesAdd subtitles, place them anywhere on the screen, use custom fonts and colors, and use different languagesLearn how to import, export and remove metadata, add MP3 tags (including album art), set global and stream-specific metadata, export and remove metadataThis Book For:Content creators and bloggers from professional studio employees to Youtubers and hobbyists who need to process their own multimedia content; multimedia archivists and librarians; regular Linux desktop users

Gain a foundational understanding of SRE and learn its basic concepts and architectural best practices for deploying Azure IaaS, PaaS, and microservices-based resilient architectures.The book starts with the base concepts of SRE operations and developer needs, followed by definitions and acronyms of Service Level Agreements in real-world scenarios. Moving forward, you will learn how to build resilient IaaS solutions, PaaS solutions, and microservices architecture in Azure. Here you will go through Azure reference architecture for high-available storage, networking and virtual machine computing, describing Availability Sets and Zones and Scale Sets as main scenarios. You will explore similar reference architectures for Platform Services such as App Services with Web Apps, and work with data solutions like Azure SQL and Azure Cosmos DB. Next, you will learn automation to enable SRE with Azure DevOps Pipelines and GitHub Actions. Yoüll also gain an understanding of how an open culture around post-mortems dramatically helps in optimizing SRE and the overall company culture around managing and running IT systems and application workloads. Yoüll be exposed to incent management and monitoring practices, by making use of Azure Monitor/Log Analytics/Grafana, which forms the foundation of monitoring Azure and Hybrid-running workloads.As an extra, the book covers two new testing solutions: Azure Chaos Studio and Azure Load Testing. These solutions will make it easier to test the resilience of your services.After reading this book, you will understand the underlying concepts of SRE and its implementation using Azure public cloud.What Will You Learn:Learn SRE definitions and metrics like SLI/SLO/SLA, Error Budget, toil, MTTR, MTTF, and MTBFUnderstand Azure Well-Architected Framework (WAF) and Disaster Recovery scenarios on AzureUnderstand resiliency and how to design resilient solutions in Azure for different architecture types and servicesMaster core DevOps concepts and the difference between SRE and tools like Azure DevOps and GitHubUtilize Azure observability tools like Azure Monitor, Application Insights, KQL or GrafanaUnderstand Incident Response and Blameless Post-Mortems and how to improve collaboration using ChatOps practices with Microsoft toolsWho Is This Book For:IT operations administrators, engineers, security team members, as well as developers or DevOps engineers.