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Kubernetes Best Practices: Blueprints for Building Successful Applications on Kubernetes

by Brendan Burns Eddie Villalba Dave Strebel Lachlan Evenson

In this practical guide, four Kubernetes professionals with deep experience in distributed systems, enterprise application development, and open source will guide you through the process of building applications with this container orchestration system. They distill decades of experience from companies that are successfully running Kubernetes in production and provide concrete code examples to back the methods presented in this book.Revised to cover all the latest Kubernetes features, new tooling, and deprecations, this book is ideal for those who are familiar with basic Kubernetes concepts but want to get up to speed on the latest best practices. You'll learn exactly what you need to know to build your best app with Kubernetes the first time.Set up and develop applications in KubernetesLearn patterns for monitoring, securing your systems, and managing upgrades, rollouts, and rollbacksIntegrate services and legacy applications and develop higher-level platforms on top of KubernetesRun machine learning workloads in KubernetesEnsure pod and container securityUnderstand issues that have become increasingly critical to the successful implementation of Kubernetes, such as chaos engineering/testing, GitOps, service mesh, and observability

AI and Machine Learning for On-Device Development: A Programmer's Guide

by Laurence Moroney

AI is nothing without somewhere to run it. Now that mobile devices have become the primary computing device for most people, it's essential that mobile developers add AI to their toolbox. This insightful book is your guide to creating and running models on popular mobile platforms such as iOS and Android.Laurence Moroney, lead AI advocate at Google, offers an introduction to machine learning techniques and tools, then walks you through writing Android and iOS apps powered by common ML models like computer vision and text recognition, using tools such as ML Kit, TensorFlow Lite, and Core ML. If you're a mobile developer, this book will help you take advantage of the ML revolution today.Explore the options for implementing ML and AI on mobile devicesCreate ML models for iOS and AndroidWrite ML Kit and TensorFlow Lite apps for iOS and Android, and Core ML/Create ML apps for iOSChoose the best techniques and tools for your use case, such as cloud-based versus on-device inference and high-level versus low-level APIsLearn privacy and ethics best practices for ML on devices

Efficient Linux at the Command Line: Boost Your Command-Line Skills

by Daniel J. Barrett

Take your Linux skills to the next level! Whether you're a system administrator, software developer, site reliability engineer, or enthusiastic hobbyist, this practical, hands-on book will help you work faster, smarter, and more efficiently. You'll learn how to create and run complex commands that solve real business problems, process and retrieve information, and automate manual tasks.You'll also truly understand what happens behind the shell prompt, so no matter which commands you run, you can be more successful in everyday Linux use and more competitive on the job market.As you build intermediate to advanced command-line skills, you'll learn how to:Choose or construct commands that get your work done quicklyRun commands efficiently and navigate the Linux filesystem with easeBuild powerful, complex commands out of simpler onesTransform text files and query them like databases to achieve business goalsControl Linux point-and-click features from the command line

Operating OpenShift: An SRE Approach to Managing Infrastructure

by Rick Rackow Manuel Dewald

Kubernetes has gained significant popularity over the past few years, with OpenShift as one of its most mature and prominent distributions. But while OpenShift provides several layers of abstraction over vanilla Kubernetes, this software can quickly become overwhelming because of itsrich feature set and functionality. This practical book helps you understand and manage OpenShift clusters from minimal deployment to large multicluster installations.Principal site reliability engineers Rick Rackow and Manuel Dewald, who worked together on Red Hat's managed OpenShift offering for years, provide valuable advice to help your teams operate OpenShift clusters efficiently. Designed for SREs, system administrators, DevOps engineers, andcloud architects, Operating OpenShift encourages consistent and easy container orchestration and helps reduce the effort of deploying a Kubernetes platform. You'll learn why OpenShift has become highly attractive to enterprises large and small.Learn OpenShift core concepts and deployment strategiesExplore multicluster OpenShift Container Platform deploymentsAdminister OpenShift clusters following best practicesLearn best practices for deploying workloads to OpenShiftMonitor OpenShift clusters through state-of-the-art conceptsBuild and deploy Kubernetes operators to automate administrative tasksConfigure OpenShift clusters using a GitOps approach

Data Quality Fundamentals: A Practitioner's Guide to Building Trustworthy Data Pipelines

by Barr Moses Lior Gavish Molly Vorwerck

Do your product dashboards look funky? Are your quarterly reports stale? Is the data set you're using broken or just plain wrong? These problems affect almost every team, yet they're usually addressed on an ad hoc basis and in a reactive manner. If you answered yes to these questions, this book is for you. Many data engineering teams today face the "good pipelines, bad data" problem. It doesn't matter how advanced your data infrastructure is if the data you're piping is bad. In this book, Barr Moses, Lior Gavish, and Molly Vorwerck, from the data observability company Monte Carlo, explain how to tackle data quality and trust at scale by leveraging best practices and technologies used by some of the world's most innovative companies. Build more trustworthy and reliable data pipelinesWrite scripts to make data checks and identify broken pipelines with data observabilityLearn how to set and maintain data SLAs, SLIs, and SLOsDevelop and lead data quality initiatives at your companyLearn how to treat data services and systems with the diligence of production softwareAutomate data lineage graphs across your data ecosystemBuild anomaly detectors for your critical data assets

Deploying to OpenShift: A Guide for Busy Developers

by Graham Dumpleton

Get an in-depth tour of OpenShift, the container-based software deployment and management platform from Red Hat that provides a secure multi-tenant environment for the enterprise. This practical guide describes in detail how OpenShift, building on Kubernetes, enables you to automate the way you create, ship, and run applications in a containerized environment.Author Graham Dumpleton provides the knowledge you need to make the best use of the OpenShift container platform to deploy not only your cloud-native applications, but also more traditional stateful applications. Developers and administrators will learn how to run, access, and manage containers in OpenShift, including how to orchestrate them at scale.Build application container images from source and deploy themImplement and extend application image buildersUse incremental and chained builds to accelerate build timesAutomate builds by using a webhook to link OpenShift to a Git repositoryAdd configuration and secrets to the container as project resourcesMake an application visible outside the OpenShift clusterManage persistent storage inside an OpenShift containerMonitor application health and manage the application lifecycleThis book is a perfect follow-up to OpenShift for Developers: A Guide for Impatient Beginners (O’Reilly).

Prompt Engineering for LLMs: The Art and Science of Building Large Language Model–Based Applications

by John Berryman Albert Ziegler

Large language models (LLMs) are revolutionizing the world, promising to automate tasks and solve complex problems. A new generation of software applications are using these models as building blocks to unlock new potential in almost every domain, but reliably accessing these capabilities requires new skills. This book will teach you the art and science of prompt engineering-the key to unlocking the true potential of LLMs. Industry experts John Berryman and Albert Ziegler share how to communicate effectively with AI, transforming your ideas into a language model-friendly format. By learning both the philosophical foundation and practical techniques, you'll be equipped with the knowledge and confidence to build the next generation of LLM-powered applications.Understand LLM architecture and learn how to best interact with itDesign a complete prompt-crafting strategy for an applicationGather, triage, and present context elements to make an efficient promptMaster specific prompt-crafting techniques like few-shot learning, chain-of-thought prompting, and RAG

Fusion 360 for Makers: Design Your Own Digital Models for 3D Printing and CNC Fabrication

by Lydia Sloan Cline

Learn how to use Autodesk Fusion 360 to digitally model your own original projects for a 3D printer or a CNC device.

iOS 15 Programming Fundamentals with Swift: Swift, Xcode, and Cocoa Basics

by Matt Neuburg

Move into iOS development by getting a firm grasp of its fundamentals, including the Xcode 13 IDE, Cocoa Touch, and the latest version of Apple's acclaimed programming language, Swift 5.5. With this thoroughly updated guide, you'll learn the Swift language, understand Apple's Xcode development tools, and discover the Cocoa framework.Explore Swift's object-oriented conceptsBecome familiar with built-in Swift typesDive deep into Swift objects, protocols, and genericsTour the life cycle of an Xcode projectLearn how nibs are loadedUnderstand Cocoa's event-driven designCommunicate with C and Objective-CIn this edition, catch up on the latest iOS programming features:Structured concurrency: async/await, tasks, and actorsSwift native formatters and attributed stringsLazy locals and throwing gettersEnhanced collections with the Swift Algorithms and Collections packagesXcode tweaks: column breakpoints, package collections, and Info.plist build settingsImprovements in Git integration, localization, unit testing, documentation, and distributionAnd more!

Design for How People Think: Using Brain Science to Build Better Products

by John Whalen

User experience doesn’t happen on a screen; it happens in the mind, and the experience is multidimensional and multisensory. This practical book will help you uncover critical insights about how your customers think so you can create products or services with an exceptional experience.Corporate leaders, marketers, product owners, and designers will learn how cognitive processes from different brain regions form what we perceive as a singular experience. Author John Whalen shows you how anyone on your team can conduct "contextual interviews" to unlock insights. You’ll then learn how to apply that knowledge to design brilliant experiences for your customers.Learn about the "six minds" of user experience and how each contributes to the perception of a singular experienceFind out how your team—without any specialized training in psychology—can uncover critical insights about your customers’ conscious and unconscious processesLearn how to immediately apply what you’ve learned to improve your products and servicesExplore practical examples of how the Fortune 100 used this system to build highly successful experiences

Learning Chaos Engineering: Discovering and Overcoming System Weaknesses Through Experimentation

by Russ Miles

Most companies work hard to avoid costly failures, but in complex systems a better approach is to embrace and learn from them. Through chaos engineering, you can proactively hunt for evidence of system weaknesses before they trigger a crisis. This practical book shows software developers and system administrators how to plan and run successful chaos engineering experiments.System weaknesses go beyond your infrastructure, platforms, and applications to include policies, practices, playbooks, and people. Author Russ Miles explains why, when, and how to test systems, processes, and team responses using simulated failures on Game Days. You’ll also learn how to work toward continuous chaos through automation with features you can share across your team and organization.Learn to think like a chaos engineerBuild a hypothesis backlog to determine what could go wrong in your systemDevelop your hypotheses into chaos engineering experiment Game DaysWrite, run, and learn from automated chaos experiments using the open source Chaos ToolkitTurn chaos experiments into tests to confirm that you’ve overcome the weaknesses you discoveredObserve and control your automated chaos experiments while they are running

Escaping the Build Trap: How Effective Product Management Creates Real Value

by Melissa Perri

To stay competitive in today’s market, organizations need to adopt a culture of customer-centric practices that focus on outcomes rather than outputs. Companies that live and die by outputs often fall into the "build trap," cranking out features to meet their schedule rather than the customer’s needs.In this book, Melissa Perri explains how laying the foundation for great product management can help companies solve real customer problems while achieving business goals. By understanding how to communicate and collaborate within a company structure, you can create a product culture that benefits both the business and the customer. You’ll learn product management principles that can be applied to any organization, big or small.In five parts, this book explores:Why organizations ship features rather than cultivate the value those features representHow to set up a product organization that scalesHow product strategy connects a company’s vision and economic outcomes back to the product activitiesHow to identify and pursue the right opportunities for producing value through an iterative product frameworkHow to build a culture focused on successful outcomes over outputs

Application Delivery and Load Balancing in Microsoft Azure: Practical Solutions With Nginx And Microsoft Azure

by Derek DeJonghe Arlan Nugara

With more and more companies moving on-premises applications to the cloud, software and cloud solution architects alike are busy investigating ways to improve load balancing, performance, security, and high availability for workloads. This practical book describes Microsoft Azure's load balancing options and explains how NGINX can contribute to a comprehensive solution.Cloud architects Derek DeJonghe and Arlan Nugara take you through the steps necessary to design a practical solution for your network. Software developers and technical managers will learn how these technologies have a direct impact on application development and architecture. While the examples are specific to Azure, these load balancing concepts and implementations also apply to cloud providers such as AWS, Google Cloud, DigitalOcean, and IBM Cloud.Understand application delivery and load balancing--and why they're importantExplore Azure's managed load balancing optionsLearn how to run NGINX OSS and NGINX Plus on AzureExamine similarities and complementing features between Azure-managed solutions and NGINXUse Azure Front Door to define, manage, and monitor global routing for your web trafficMonitor application performance using Azure and NGINX tools and plug-insExplore security choices using NGINX and Azure Firewall solutions

PowerShell Pocket Reference (Pocket Reference (o'reilly) Ser.)

by Lee Holmes

This portable reference to PowerShell summarizes the command shell and scripting language and provides a concise guide to the many tasks that make PowerShell so useful. If you're a busy administrator and don't have time to plow through huge books or in-depth online searches, this is the ideal on-the-job tool.Written by PowerShell team member Lee Holmes and excerpted from his PowerShell Cookbook, this edition offers up-to-date coverage of Windows PowerShell 5.1 and open source PowerShell Core up to 7 and beyond.Beginning with a guided tour of PowerShell, this handy guide covers:PowerShell language and environmentRegular expression referenceXPath quick reference.NET string formatting.NET DateTime formattingSelected .NET classes and their usesWMI referenceSelected COM objects and their usesStandard PowerShell verbs

Terraform Cookbook: Recipes for Codifying Infrastructure

by Kerim Satirli Taylor Dolezal

Cloud services and SaaS software permeate every company's IT landscape, requiring a shift from manually provisioned services to a more structured approach, with codification at its core. Terraform provides tools to manage the lifecycle of your IT landscape across thousands of different cloud providers and SaaS platforms.By defining your infrastructure as code you can safely and predictably make changes, modularize crucial building blocks, and create reusable service components. Each recipe in this cookbook addresses a specific problem and prefaces the solution with detailed insights into the "how" and "why".If you're just starting with Terraform and codified infrastructure, this book will help you create a solid foundation, on which you can build for years to come. If you're an advanced user, this guide will help you reaffirm your knowledge and take it to the next level, as you challenge yourself with more complex infrastructure, spread across multiple providers.Recipes include:Strategies on how to use Terraform with Version Control SystemsValidation and testing patterns for Terraform-managed infrastructureMethods for importing pre-existing resourcesTransforming infrastructure services into reusable componentsIntegrating Terraform with other HashiCorp toolsDeploying Containerized Workloads

Google BigQuery: Data Warehousing, Analytics, and Machine Learning at Scale

by Valliappa Lakshmanan Jordan Tigani

Work with petabyte-scale datasets while building a collaborative, agile workplace in the process. This practical book is the canonical reference to Google BigQuery, the query engine that lets you conduct interactive analysis of large datasets. BigQuery enables enterprises to efficiently store, query, ingest, and learn from their data in a convenient framework. With this book, you’ll examine how to analyze data at scale to derive insights from large datasets efficiently.Valliappa Lakshmanan, tech lead for Google Cloud Platform, and Jordan Tigani, engineering director for the BigQuery team, provide best practices for modern data warehousing within an autoscaled, serverless public cloud. Whether you want to explore parts of BigQuery you’re not familiar with or prefer to focus on specific tasks, this reference is indispensable.

How to Make Things Faster: Lessons in Performance from Technology and Everyday Life

by Cary Millsap

Slow systems are frustrating. They waste time and money. But making consistently great decisions about performance can be easy, if you understand what's going on. This book explains in a clear and thoughtful voice why systems perform the way they do. It's for anybody who's curious about how computer programs and other processes use their time and about what you can do to improve them.Through a mix of personal vignettes and technical use cases, Cary Millsap reviews the process of improving performance and provides best practices for optimizing systems efficiently. You'll learn how to identify the information needed to improve a system, how to find the root causes of performance issues, and how to fix them. You'll also learn how performance optimization is both a skill set and a mindset, and how to develop both over time.If you're a computer professional whose success relies on software that goes fast, by the end of this book you'll be able to identify, view, scope, analyze, and remedy performance issues with consistency and confidence.

Blockchain Success Stories

by Sir John Hargrave Evan Karnoupakis

Accessible and fun to read, this practical book contains a collection of stories of organizations using blockchain technology in practice. Through deep research and firsthand interviews, authors Sir John Hargrave and Evan Karnoupakis show you how leading-edge organizations have worked to integrate blockchain into their businesses.You'll start by exploring the origins of blockchain, with plain-English descriptions of industry terminology like bitcoin, cryptocurrencies, and smart contracts. Then you'll dive into 10 story-driven case studies that will teach you easy-to-understand blockchain best practices.Explore real-life examples of companies developing and integrating blockchain applications for mobile voting, credentialing, supply chains, and a $100 million virtual cat collectible marketplaceDiscover how blockchain is transforming industries like banking, communications, government, logistics, and nonprofitsLearn about engaging blockchain success stories, such as Binance, Ethereum, and CircleExamine common blockchain best practices, with illustrations for easy reference, and learn how to apply them in your business, government project, or charitable foundation

Snowflake: Architecting, Designing, and Deploying on the Snowflake Data Cloud

by Joyce Kay Avila

Snowflake's ability to eliminate data silos and run workloads from a single platform creates opportunities to democratize data analytics, allowing users at all levels within an organization to make data-driven decisions. Whether you're an IT professional working in data warehousing or data science, a business analyst or technical manager, or an aspiring data professional wanting to get more hands-on experience with the Snowflake platform, this book is for you.You'll learn how Snowflake users can build modern integrated data applications and develop new revenue streams based on data. Using hands-on SQL examples, you'll also discover how the Snowflake Data Cloud helps you accelerate data science by avoiding replatforming or migrating data unnecessarily.You'll be able to:Efficiently capture, store, and process large amounts of data at an amazing speedIngest and transform real-time data feeds in both structured and semistructured formats and deliver meaningful data insights within minutesUse Snowflake Time Travel and zero-copy cloning to produce a sensible data recovery strategy that balances system resilience with ongoing storage costsSecurely share data and reduce or eliminate data integration costs by accessing ready-to-query datasets available in the Snowflake Marketplace

ActivityPub: Programming for the Social Web

by Evan Prodromou

ActivityPub is the new standard for connecting social networks together on the social web. This open, decentralized social networking protocol defines an API for sharing activities to a social network and a procedure that servers use to distribute those activities to a subscriber's feed. With this book, you'll learn how to assemble ActivityPub-enabled clients for making new kinds of social apps on top of existing networks and build ActivityPub servers that create new human or automated accounts on the social web.With those skills under your belt, you can explore other applications of this publish-subscribe technology: content management systems, internet of things, and enterprise automation. With hands-on examples and in-depth knowledge from Evan Prodromou, one of the authors of the protocol, this is the ActivityPub handbook that every social software hacker needs.Learn what the social web is and what ActivityPub doesRepresent social network data in the Activity Streams 2.0 formatWrite a simple ActivityPub client and serverExtend ActivityPub's functionality with new typesFind in-depth details about the more obscure ActivityPub data structuresEvan Prodromou is a coauthor of the ActivityPub protocol and the Activity Streams 2.0 data format.

Aerospike: Developing on a Modern Operational Database for Globally Distributed Apps

by V. Srinivasan Tim Faulkes Albert Autin Paige Roberts

If you're a developer looking to build a distributed, resilient, scalable, high-performance application, you may be evaluating distributed SQL and NoSQL solutions. Perhaps you're considering the Aerospike database.This practical book shows developers, architects, and engineers how to get the highly scalable and extremely low-latency Aerospike database up and running. You will learn how to power your globally distributed applications and take advantage of Aerospike's hybrid memory architecture with the real-time performance of in-memory plus dependable persistence. After reading this book, you'll be able to build applications that can process up to tens of millions of transactions per second for millions of concurrent users on any scale of data.This practical guide provides:Step-by-step instructions on installing and connecting to AerospikeA clear explanation of the programming models availableAll the advice you need to develop your Aerospike applicationCoverage of issues such as administration, connectors, consistency, and securityCode examples and tutorials to get you up and running quicklyAnd more

Machine Learning for Financial Risk Management with Python: Algorithms for Modeling Risk

by Abdullah Karasan

Financial risk management is quickly evolving with the help of artificial intelligence. With this practical book, developers, programmers, engineers, financial analysts, risk analysts, and quantitative and algorithmic analysts will examine Python-based machine learning and deep learning models for assessing financial risk. Building hands-on AI-based financial modeling skills, you'll learn how to replace traditional financial risk models with ML models.Author Abdullah Karasan helps you explore the theory behind financial risk modeling before diving into practical ways of employing ML models in modeling financial risk using Python. With this book, you will:Review classical time series applications and compare them with deep learning modelsExplore volatility modeling to measure degrees of risk, using support vector regression, neural networks, and deep learningImprove market risk models (VaR and ES) using ML techniques and including liquidity dimensionDevelop a credit risk analysis using clustering and Bayesian approachesCapture different aspects of liquidity risk with a Gaussian mixture model and Copula modelUse machine learning models for fraud detectionPredict stock price crash and identify its determinants using machine learning models

Software Architecture Metrics: Case Studies to Improve the Quality of Your Architecture

by Christian Ciceri Dave Farley Neal Ford Andrew Harmel-Law Michael Keeling Carola Lilienthal João Rosa Alexander Von Zitzewitz Rene Weiss Eoin Woods

Software architecture metrics are key to the maintainability and architectural quality of a software project and they can warn you about dangerous accumulations of architectural and technical debt early in the process. In this practical book, leading hands-on software architects share case studies to introduce metrics that every software architect should know.This isn't a book about theory. It's more about practice and implementation, about what has already been tried and worked. Detecting software architectural issues early is crucial for the success of your software: it helps mitigate the risk of poor performance and lowers the cost of repairing those issues. Written by practitioners for software architects and software developers eager to explore successful case studies, this guide will help you learn more about decision and measurement effectiveness.Through contributions from 10 prominent practitioners, this book shares key software architecture metrics to help you set the right KPIs and measure the results. You'll learn how to:Measure how well your software architecture is meeting your goalsChoose the right metrics to track (and skip the ones you don't need)Improve observability, testability, and deployabilityPrioritize software architecture projectsBuild insightful and relevant dashboards

Python for Geospatial Data Analysis: Theory, Tools, and Practice for Location Intelligence

by Bonny P. McClain

In spatial data science, things in closer proximity to one another likely have more in common than things that are farther apart. With this practical book, geospatial professionals, data scientists, business analysts, geographers, geologists, and others familiar with data analysis and visualization will learn the fundamentals of spatial data analysis to gain a deeper understanding of their data questions.Author Bonny P. McClain demonstrates why detecting and quantifying patterns in geospatial data is vital. Both proprietary and open source platforms allow you to process and visualize spatial information. This book is for people familiar with data analysis or visualization who are eager to explore geospatial integration with Python.This book helps you:Understand the importance of applying spatial relationships in data scienceSelect and apply data layering of both raster and vector graphicsApply location data to leverage spatial analyticsDesign informative and accurate mapsAutomate geographic data with Python scriptsExplore Python packages for additional functionalityWork with atypical data types such as polygons, shape files, and projectionsUnderstand the graphical syntax of spatial data science to stimulate curiosity

bash Cookbook: Solutions and Examples for bash Users

by Carl Albing Jp Vossen

For system administrators, programmers, and end users, shell command or carefully crafted shell script can save you time and effort, or facilitate consistency and repeatability for a variety of common tasks. This cookbook provides more than 300 practical recipes for using bash, the popular Unix shell that enables you to harness and customize the power of any Unix or Linux system.Ideal for new and experienced users alike—including proficient Windows users and sysadmins—this updated second edition helps you solve a wide range of problems. You’ll learn ways to handle input/output, file manipulation, program execution, administrative tasks, and many other challenges. Each recipe includes one or more scripting examples and a discussion of why the solution works.You’ll find recipes for problems including:Standard output and input, and executing commandsShell variables, shell logic, and arithmeticIntermediate shell tools and advanced scriptingSearching for files with find, locate, and slocateWorking with dates and timesCreating shell scripts for various end-user tasksWorking with tasks that require parsingWriting secure shell scriptsConfiguring and customizing bash

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