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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. Based on the experiences of companies that are running Kubernetes in production successfully, many of the methods are also backed by concrete code examples.This book is ideal for those already familiar with basic Kubernetes concepts who want to learn common best practices. Youll 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 rollbacksUnderstand Kubernetes networking policies and where service mesh fits inIntegrate services and legacy applications and develop higher-level platforms on top of KubernetesRun machine learning workloads in Kubernetes

This practical guide provides nearly 200 self-contained recipes to help you solve machine learning challenges you may encounter in your daily work. If youre comfortable with Python and its libraries, including pandas and scikit-learn, youll be able to address specific problems such as loading data, handling text or numerical data, model selection, and dimensionality reduction and many other topics.Each recipe includes code that you can copy and paste into a toy dataset to ensure that it actually works. From there, you can insert, combine, or adapt the code to help construct your application. Recipes also include a discussion that explains the solution and provides meaningful context. This cookbook takes you beyond theory and concepts by providing the nuts and bolts you need to construct working machine learning applications.Youll find recipes for:Vectors, matrices, and arraysHandling numerical and categorical data, text, images, and dates and timesDimensionality reduction using feature extraction or feature selectionModel evaluation and selectionLinear and logical regression, trees and forests, and k-nearest neighborsSupport vector machines (SVM), nave Bayes, clustering, and neural networksSaving and loading trained models

With demand for scaling, real-time access, and other capabilities, businesses need to consider building operational machine learning pipelines. This practical guide helps your company bring data science to life for different real-world MLOps scenarios. Senior data scientists, MLOps engineers, and machine learning engineers will learn how to tackle challenges that prevent many businesses from moving ML models to production. Authors Yaron Haviv and Noah Gift take a production-first approach. Rather than beginning with the ML model, you'll learn how to design a continuous operational pipeline, while making sure that various components and practices can map into it. By automating as many components as possible, and making the process fast and repeatable, your pipeline can scale to match your organization's needs. You'll learn how to provide rapid business value while answering dynamic MLOps requirements. This book will help you: Learn the MLOps process, including its technological and business value Build and structure effective MLOps pipelines Efficiently scale MLOps across your organization Explore common MLOps use cases Build MLOps pipelines for hybrid deployments, real-time predictions, and composite AI Build production applications with LLMs and Generative AI, while reducing risks, increasing the efficiency, and fine tuning models Learn how to prepare for and adapt to the future of MLOps Effectively use pre-trained models like HuggingFace and OpenAI to complement your MLOps strategy

"Effective, repeatable, and insightful analytics are key to ROI in customer relationship management systems. Many organizations, however, lack the automated reporting tools they need to run their businesses and instead choose to massage the data in Excel. But there's a better way. Salesforce's standard reporting tools provide a rich set of features that, when combined, support a wide variety of analytics needs."--Provided by publisher.

Microsoft Teams is used in hundreds of thousands of organizations to help keep remote and hybrid workplaces with dispersed workforces running smoothly. But while Microsoft Teams can seem easy for the user, Teams administrators must stay on top of a wide range of topics, including device administration techniques, quality benchmarks, and security and compliance measures. With this handy cookbook, author Fabrizio Volpe provides a clear, concise overview of administrative tasks in Teams -- along with step-by-step recipes to help you solve many of the common problems that system administrators, project managers, solution architects, and IT consultants may face when configuring, implementing, and managing Microsoft Teams. Think of this book as a detailed, immensely practical cheat sheet for Microsoft Teams administrators. Recipes in the book will show you how to: Apply Teams best practices, compliance, and security; Automate administrative tasks; Successfully deploy Teams; Implement Teams collaboration; Deploy and manage Microsoft Teams Rooms; Leverage the monitoring, productivity, and accessibility features; Foresee roadblocks in migrations to Teams and Teams Voice; Optimize Teams on virtual machines.--Back cover.

"Analytics projects are frequently long, drawn-out affairs, requiring multiple teams and skills to clean, join, and eventually turn data into analysis for timely decision-making. Alteryx Designer changes all of that. With this low-code, self-service, drag-and-drop workflow platform, new and experienced data and business analysts can deliver results in hours instead of weeks. This practical book shows you how to master all areas of Alteryx Designer quickly. Author and Alteryx ACE Joshua Burkhow starts with the basics of building a workflow, then introduces more than 200 tools for working with intermediate and advanced analytics functionality. With Alteryx Designer's all-in-one toolkit, you'll migrate from legacy analytics software or Excel with ease. Ready to work with data quickly and efficiently? This guide gets you started. Learn the fundamentals of cleaning, prepping, and analyzing data with Alteryx Designer; Install, navigate, and quickly become competent with the Alteryx Designer layout and functionality; Construct accurate, performant, reliable, and well-documented workflows that automate business processes; Learn intermediate techniques using spatial analytics, reporting, and in-database tools, and even learn about building macros and apps; Get introduced to both Alteryx Server as well as the new Alteryx Analytic Cloud Platform."--

Using a well-conceived incident response plan in the aftermath of an online security breach enables your team to identify attackers and learn how they operate. But, only when you approach incident response with a cyber threat intelligence mindset will you truly understand the value of that information. With this practical guide, youll learn the fundamentals of intelligence analysis, as well as the best ways to incorporate these techniques into your incident response process.Each method reinforces the other: threat intelligence supports and augments incident response, while incident response generates useful threat intelligence. This book helps incident managers, malware analysts, reverse engineers, digital forensics specialists, and intelligence analysts understand, implement, and benefit from this relationship.In three parts, this in-depth book includes:The fundamentals: get an introduction to cyber threat intelligence, the intelligence process, the incident-response process, and how they all work togetherPractical application: walk through the intelligence-driven incident response (IDIR) process using the F3EAD processFind, Fix Finish, Exploit, Analyze, and DisseminateThe way forward: explore big-picture aspects of IDIR that go beyond individual incident-response investigations, including intelligence team building

If you're a PHP developer looking for proven solutions to common problems, this cookbook provides code recipes to help you resolve a variety of coding issues. PHP is a remarkably easy language to work with, which explains why it powers more than 75% of the websites online today. It's also incredibly forgiving of programming mistakes, which can perpetuate reuse of questionable code. By leveraging modern versions of PHP through version 8.2, author Eric Mann provides self-contained recipes that will enable you to solve the problems you face in your day-to-day work. You'll also find established patterns and examples that any developer can follow for addressing common problems with PHP. With these recipes, you'll quickly identify and resolve complicated issues without having to reinvent the wheel. This practical guide will help you: Build efficient applications composed of functions and objects Explore the type system of modern PHP Understand key concepts such as encryption, error handling, debugging, and performance tuning Examine the PHP package/extension ecosystem Learn how to build basic web and command-line applications Work securely with files on a machine, both encrypted and in plain text

Artificial intelligence is a tool to explore and create, and it starts here with the experts at Steamlabs, a nonprofit that teaches teens to not just be users of technology, but to create with technology so they can be help shape our future. Make: AI Robots introduces young people to AI through exciting craft projects that start with a mechanical cardboard creation, integrates fun electronic lights and motors, adds simple coding on a micro: bit, and then teaches how to train AI to create a spark of life. With 32 projects designed to guide beginners through increasing challenges, Make: AI Robots is the perfect way to feed curious minds with fun AI experiments that will delight and inspire.

Make: Practical Mechanical Design teaches you everything you need to know to start new design projects from scratch, research everything you might need to know to create them, and come up with a plan for how to build exactly the thing you're looking for.

"Trigonometry has 2000-year-old roots in everyday useful endeavors, like finding the size of an object too big or far away to measure directly, or navigating from Point A to Point B. However, it is often taught very theoretically, with an emphasis on abstractions. Make: Trigonometry uses 3D printable models and readily-available physical objects like wire and cardboard tubes to develop intuition about concepts in trigonometry and basic analytic geometry. Readers will imagine the thought process of the people who invented these mathematical concepts, and can try out 'math experiments' to see for themselves how ingenious ancient navigators and surveyors really were. The analytic geometry part of the book links equations to many of these intuitive concepts, which we explore through in-depth explanations of manipulative models of conic sections. This book is aimed at high school students who might be in Algebra II or Pre-Calculus. It shows the geometrical and practical sides of these topics that otherwise can drown in their own algebra. Make: Trigonometry builds on the basics of the authors' earlier book, Make: Geometry, and is intended as a bridge from that book to their Make: Calculus book. The user can read this book and understand the concepts from the photographs of 3D printable models alone. However, since many models are puzzle-like, we encourage the reader to print the models on any consumer-grade filament based 3D printer. The models are available for download in a freely-available open source repository. They were created in the free program OpenSCAD, and can be 3D printed or modified by the student in OpenSCAD to learn a little coding along the way.

Automate your software development processes with GitHub Actions, the continuous integration and continuous delivery platform that integrates seamlessly with GitHub. With this practical book, open source author, trainer, and DevOps director Brent Laster explains everything you need to know about using and getting value from GitHub Actions. You'll learn what actions and workflows are and how they can be used, created, and incorporated into your processes to simplify, standardize, and automate your work in GitHub. This book explains the platform, components, use cases, implementation, and integration points of actions, so you can leverage them to provide the functionality and features needed in today's complex pipelines and software development processes. You'll learn how to design and implement automated workflows that respond to common events like pushes, pull requests, and review updates. You'll understand how to use the components of the GitHub Actions platform to gain maximum automation and benefit. With this book, you will: Learn what GitHub Actions are, the various use cases for them, and how to incorporate them into your processes Understand GitHub Actions' structure, syntax, and semantics Automate processes and implement functionality Create your own custom actions with Docker, JavaScript, or shell approaches Troubleshoot and debug workflows that use actions Combine actions with GitHub APIs and other integration options Identify ways to securely implement workflows with GitHub Actions Understand how GitHub Actions compares to other options

Modern systems contain multi-core CPUs and GPUs that have the potential for parallel computing. But many scientific Python tools were not designed to leverage this parallelism. With this short but thorough resource, data scientists and Python programmers will learn how the Dask open source library for parallel computing provides APIs that make it easy to parallelize PyData libraries including NumPy, pandas, and scikit-learn. Authors Holden Karau and Mika Kimmins show you how to use Dask computations in local systems and then scale to the cloud for heavier workloads. This practical book explains why Dask is popular among industry experts and academics and is used by organizations that include Walmart, Capital One, Harvard Medical School, and NASA. With this book, you'll learn: What Dask is, where you can use it, and how it compares with other tools How to use Dask for batch data parallel processing Key distributed system concepts for working with Dask Methods for using Dask with higher-level APIs and building blocks How to work with integrated libraries such as scikit-learn, pandas, and PyTorch How to use Dask with GPUs.

Whether based on academic theories or discovered empirically by humans and machines, all financial models are at the mercy of modeling errors that can be mitigated but not eliminated. Probabilistic ML technologies are based on a simple and intuitive definition of probability and the rigorous calculus of probability theory. Unlike conventional AI systems, probabilistic machine learning (ML) systems treat errors and uncertainties as features, not bugs. They quantify uncertainty generated from inexact model inputs and outputs as probability distributions, not point estimates. Most importantly, these systems are capable of forewarning us when their inferences and predictions are no longer useful in the current market environment. These ML systems provide realistic support for financial decision-making and risk management in the face of uncertainty and incomplete information. Probabilistic ML is the next generation ML framework and technology for AI-powered financial and investing systems for many reasons. They are generative ensembles that learn continually from small and noisy financial datasets while seamlessly enabling probabilistic inference, prediction and counterfactual reasoning. By moving away from flawed statistical methodologies (and a restrictive conventional view of probability as a limiting frequency), you can embrace an intuitive view of probability as logic within an axiomatic statistical framework that comprehensively and successfully quantifies uncertainty. This book shows you why and how to make that transition.

"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"--

"This practical guide provides system administrators, DevSecOps engineers, and cloud architects with a concise yet comprehensive overview of using PL/SQL to develop resilient database solutions. Integration specialist Stephen B. Morris helps you understand the language, build a PL/SQL toolkit, and collect a suite of reusable components and patterns. You'll dive into the benefits of combining the toolkit with a requirements-driven, feature-oriented approach and learn how to produce resilient solutions in conjunction with a scale of resilience"--

Like sysadmins before them, network engineers are finding that they cannot do their work manually anymore. As the field faces new protocols, technologies, delivery models, and a pressing need for businesses to be more agile and flexible, network automation is becoming essential. This practical guide shows network engineers how to use a range of technologies and toolsincluding Linux, Python, JSON, and XMLto automate their systems through code.Network programming and automation will help you simplify tasks involved in configuring, managing, and operating network equipment, topologies, services, and connectivity. Through the course of the book, youll learn the basic skills and tools you need to make this critical transition.This book covers:Python programming basics: data types, conditionals, loops, functions, classes, and modulesLinux fundamentals to provide the foundation you need on your network automation journeyData formats and models: JSON, XML, YAML, and YANG for networkingJinja templating and its applicability for creating network device configurationsThe role of application programming interfaces (APIs) in network automationSource control with Git to manage code changes during the automation processHow Ansible, Salt, and StackStorm open source automation tools can be used to automate network devicesKey tools and technologies required for a Continuous Integration (CI) pipeline in network operations

Continuous delivery doesn't stop with deployment. Modern software teams rely on an emerging set of best practices post-deployment to continuously improve their software. With this guide, CTOs, software architects, and senior engineering leaders will learn what these practices are and how to apply them to their existing operations. The book provides actionable insights into setting up and maintaining a smooth operational process post-deployment. You'll learn new approaches to releasing software, controlling systems at runtime, and measuring the impact of change. Armed with this knowledge, you can anticipate the next planning and building phase, feeding back into the software development lifecycle.

This guide covers all aspects of Linux system administration, from user maintenance, backups, filesystem housekeeping, storage management, and network setup to hardware and software troubleshooting and some application management. It's both a practical daily reference manual for sysadmins and IT pros and a handy study guide for those taking Linux certification exams.

Challenge your brain with math! Using nothing more than basic arithmetic and logic, you'll be thrilled as answers slot into place. Whether purely for fun or to test your knowledge, you'll sharpen your problem-solving skills and flex your mental muscles. All you need is logical thought, a little patience, and a clear mind. There are no gotchas here. These puzzles are the perfect introduction to or refresher for math concepts you may have only just learned or long since forgotten. Get ready to have more fun with numbers than you've ever had before. Engage your analytical side with these numerical brain teasers. Math and logic puzzles help you stretch your mind to think in new ways. They flex your lateral thinking as you work through fresh problem styles. Each puzzle type comes with an explanation, a method for solving them, and solutions if you get stuck. The puzzles in this book are short, self-contained, and "gritty." They offer an enjoyable challenge and are designed to be solvable within a few minutes. You only need basic arithmetic to solve these puzzles; no advanced math required. There's plenty of variety to keep things fresh. From wandering digits to magic triangles, from summing grids to water pails, you'll find something that catches your interest. Each puzzle is brief, so use them as a warm-up to your daily work, for a delightful diversion on your coffee break, or solve a few while you wind down for the day. Grab a pencil and your thinking cap, and get solving!

Turn your R code into packages that others can easily download and use. This practical book shows you how to bundle reusable R functions, sample data, and documentation together by applying author Hadley Wickhams package development philosophy. In the process, youll work with devtools, roxygen, and testthat, a set of R packages that automate common development tasks. Devtools encapsulates best practices that Hadley has learned from years of working with this programming language.Ideal for developers, data scientists, and programmers with various backgrounds, this book starts you with the basics and shows you how to improve your package writing over time. Youll learn to focus on what you want your package to do, rather than think about package structure.Learn about the most useful components of an R package, including vignettes and unit testsAutomate anything you can, taking advantage of the years of development experience embodied in devtoolsGet tips on good style, such as organizing functions into filesStreamline your development process with devtoolsLearn the best way to submit your package to the Comprehensive R Archive Network (CRAN)Learn from a well-respected member of the R community who created 30 R packages, including ggplot2, dplyr, and tidyr

"Learn everything you need to know to use the powerful Unity engine to its full potential for 3D and 2D game development, simulation, artificial intelligence, and beyond. From the basics of scripting to techniques for interactivity, AI and behavior, animation, narrative, and networking, this flexible, mind-bogglingly popular engine is useful for anything that needs visuals and real-time simulation. With this thoroughly updated problem-solving cookbook, beginner and intermediate Unity developers will learn about the Unity engine through brief recipes that teach specific features of the software and scripting systems. You'll apply a collection of snippets of code to address common scenarios such as properly keeping score, accepting input, and sharing state over the network." --

Updated to cover Docker version 1.10Docker is quickly changing the way that organizations are deploying software at scale. But understanding how Linux containers fit into your workflowand getting the integration details rightare not trivial tasks. With this practical guide, youll learn how to use Docker to package your applications with all of their dependencies, and then test, ship, scale, and support your containers in production.Two Lead Site Reliability Engineers at New Relic share much of what they have learned from using Docker in production since shortly after its initial release. Their goal is to help you reap the benefits of this technology while avoiding the many setbacks they experienced.Learn how Docker simplifies dependency management and deployment workflow for your applicationsStart working with Docker images, containers, and command line toolsUse practical techniques to deploy and test Docker-based Linux containers in productionDebug containers by understanding their composition and internal processesDeploy production containers at scale inside your data center or cloud environmentExplore advanced Docker topics, including deployment tools, networking, orchestration, security, and configuration

"What is eBPF? With this revolutionary technology, you can write custom code that dynamically changes the way the kernel behaves. It's an extraordinary platform for building a whole new generation of security, observability, and networking tools. This practical book is ideal for developers, system administrators, operators, and students who are curious about eBPF and want to know how it works. Author Liz Rice, chief open source officer with cloud native networking and security specialists Isovalent, also provides a foundation for those who want to explore writing eBPF programs themselves"--

Data lakes and warehouses have become increasingly fragile, costly, and difficult to maintain as data gets bigger and moves faster. Data meshes can help your organization decentralize data, giving ownership back to the engineers who produced it. This book provides a concise yet comprehensive overview of data mesh patterns for streaming and real-time data services. Authors Hubert Dulay and Stephen Mooney examine the vast differences between streaming and batch data meshes. Data engineers, architects, data product owners, and those in DevOps and MLOps roles will learn steps for implementing a streaming data mesh, from defining a data domain to building a good data product. Through the course of the book, you'll create a complete self-service data platform and devise a data governance system that enables your mesh to work seamlessly. With this book, you will: Design a streaming data mesh using Kafka Learn how to identify a domain Build your first data product using self-service tools Apply data governance to the data products you create Learn the differences between synchronous and asynchronous data services Implement self-services that support decentralized data.

The latest edition of Java in a Nutshell is designed to help experienced Java programmers get the most out of Java 7 and 8, but its also a learning path for new developers. Chock full of examples that demonstrate how to take complete advantage of modern Java APIs and development best practices, the first section of this thoroughly updated book provides a fast-paced, no-fluff introduction to the Java programming language and the core runtime aspects of the Java platform.The second section is a reference to core concepts and APIs that shows you how to perform real programming work in the Java environment.Get up to speed on language details, including Java 8 changesLearn object-oriented programming, using basic Java syntaxExplore generics, enumerations, annotations, and lambda expressionsUnderstand basic techniques used in object-oriented designExamine concurrency and memory, and how theyre intertwinedWork with Java collections and handle common data formatsDelve into Javas latest I/O APIs, including asynchronous channelsUse Nashorn to execute JavaScript on the Java Virtual MachineBecome familiar with development tools in OpenJDK

While plenty of educational material exists for beginning and advanced JavaScript developers, resources for intermediate-level engineers are scarce. Yet this is the career step where many developers often get stuck. With this practical book, you'll learn how to apply JavaScript theory in real projects, manage every stage of the software development lifecycle, and move your career forward. Author Milecia McGregor takes frontend, backend, and full stack engineers through all of the steps and considerations of senior JavaScript engineers, including making decisions based on product and user feedback. By the time you finish this book, you'll know how to create a production-level app for any size system you face. Understand how JavaScript works under the hood, including how a real software development lifecycle works Learn how to make decisions when building a long-term maintainable JavaScript project Explore the software development lifecycle from project ideation to production deployment with JavaScript code Gain a better understanding of complex JavaScript issues such as closures, generators, and the event loop Learn when you should take specific approaches to keep a project moving on the technical side

The exponential growth of data combined with the need to derive real-time business value is a critical issue today. An event-driven data mesh can power real-time operational and analytical workloads, all from a single set of data product streams. With practical real-world examples, this book shows you how to successfully design and build an event-driven data mesh. Building an Event-Driven Data Mesh provides: Practical tips for iteratively building your own event-driven data mesh, including hurdles you'll experience, possible solutions, and how to obtain real value as soon as possible Solutions to pitfalls you may encounter when moving your organization from monoliths to event-driven architectures A clear understanding of how events relate to systems and other events in the same stream and across streams A realistic look at event modeling options, such as fact, delta, and command type events, including how these choices will impact your data products Best practices for handling events at scale, privacy, and regulatory compliance Advice on asynchronous communication and handling eventual consistency

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