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Taking Kubernetes from Test to Production
Taking Kubernetes from Test to Production

With Kubernetes came many new concepts, particularly around networking and traffic management. Alongside these new concepts were entirely new classes of tools, designed for ephemeral, containerized, and distributed application deployments. In particular, Ingress controllers and service meshes did not exist prior to the Kubernetes era. Nor were Layer 4 and Layer 7 protocols and traffic typically managed from the same control plane. At a granular level, Kubernetes introduces new complexities around security and management. Simple tasks like load balancing are very different in a realm where infrastructure is 100% ephemeral and often moving constantly - both in terms of setting up new instances with fresh IP addresses and geographically moving around the globe. These new traffic management concepts and tools have the power to vastly improve developer experience and accelerate app development and delivery cycles through greater resilience, higher performance, and better security. But wh ...
Windows Internals, Part 2, 7th Edition
Windows Internals, Part 2, 7th Edition

The definitive guide to modern Windows internals: new coverage of virtualization, file systems, boot, security, and more. For advanced computing professionals, this is the definitive up-to-date guide to how Windows core components behave under the hood. Using it, experienced developers can build more powerful and scalable software, administrators can debug complex system and performance problems, and security researchers can harden their systems. This Seventh Edition is fully updated through the May 2021 (21H1/2104) updates to Windows 10 and Windows Server (2022, 2019, and 2016). It adds extensive content on Hyper-V, plus fully rewritten chapters on the boot process, new storage technologies, and Windows system and management mechanisms. As always, it delivers unparalleled insight based on insider access to Microsoft source code, with hands-on experiments using the latest debugging tools to show you Windows internal behaviors firsthand. With Windows 11 introducing new user interface ...
Microsoft Excel Inside Out
Microsoft Excel Inside Out

Dive Into Microsoft Excel for Office 2021 and Microsoft 365 and really put your spreadsheet expertise to work. This supremely well-organized reference packs hundreds of timesaving solutions, tips, and workaroundsall you need to make the most of Excels most powerful tools for analyzing data and making better decisions. Renowned Excel expert Bill Jelen offers a complete tour of Excel and its latest innovations, from advanced analysis and visualizations to dashboards. Discover how experts tackle todays key tasksand challenge yourself to new levels of mastery. Save time with galleries, keyboard accelerators, and other shortcuts; Enter formulas more efficiently, and fully control operators and dates; Use new data types to return photos, arrays, or weather history and even create your own; Master Excels most widely-used functions; Integrate external data from the web and other sources; Use the new XLOOKUP function to retrieve data more efficiently, with fewer errors; Store powerful specia ...
FPGAs for Dummies, 2nd Edition
FPGAs for Dummies, 2nd Edition

Field programmable gate arrays (FPGAs) are integrated circuits that enable designers to program customized digital logic in the field. FPGAs have been around since the 1980s and were originally conceived to give all design teams the ability to create custom logic. In the early days, using an FPGA in your design meant you had to do a lot of programming just to get your FPGA to perform simple functions, so most designers avoided them. If you haven't looked into FPGAs since your university studies way back when, you'll want to take another look at them. The FPGA has evolved from a useful but humble interface device into a system-level integrated circuit (IC) with its own microprocessors, memory blocks, and interfaces. It's the next big thing. Now would be a great time to get an inexpensive development kit, download free tools, and begin to explore this world for yourself. And this book will help you understand the practical uses of FPGAs. This book is for you if you're a system d ...
Intermediate Statistics with R
Intermediate Statistics with R

Introductory statistics courses prepare students to think statistically but cover relatively few statistical methods. Building on the basic statistical thinking emphasized in an introductory course, a second course in statistics at the undergraduate level can explore a large number of statistical methods. This text covers more advanced graphical summaries, One-Way ANOVA with pair-wise comparisons, Two-Way ANOVA, Chi-square testing, and simple and multiple linear regression models. Models with interactions are discussed in the Two-Way ANOVA and multiple linear regression setting with categorical explanatory variables. Randomization-based inferences are used to introduce new parametric distributions and to enhance understanding of what evidence against the null hypothesis "looks like". Throughout, the use of the statistical software R via Rstudio is emphasized with all useful code and data sets provided within the text. ...
Pro Exchange 2019 and 2016 Administration, 2nd Edition
Pro Exchange 2019 and 2016 Administration, 2nd Edition

Use this one-stop resource for both basic and advanced administration of Exchange Server 2019 and 2016. It will help you in running an Exchange environment, whether it be 100% on-premises or a hybrid configuration with Exchange Online (as part of Office 365). This revised version is divided into four sections, describing Exchange infrastructure, upgrading Exchange server, integration with Office 365, and security and compliance. In the first section, you will go through a short introduction of Exchange server followed by its installation and configuration. You will learn client access along with Exchange mailbox and managing Exchange recipients. In the second section, you will learn how to upgrade from Exchange 2010 to 2016 and from 2013 to Exchange 2019. The third section is dedicated to the Exchange integration with Office 365, followed by the last section that teaches you how to secure your Exchange environment and its compliance. After reading this book, you will understand b ...
Building an Effective Data Science Practice
Building an Effective Data Science Practice

Gain a deep understanding of data science and the thought process needed to solve problems in that field using the required techniques, technologies and skills that go into forming an interdisciplinary team. This book will enable you to set up an effective team of engineers, data scientists, analysts, and other stakeholders that can collaborate effectively on crucial aspects such as problem formulation, execution of experiments, and model performance evaluation. You'll start by delving into the fundamentals of data science - classes of data science problems, data science techniques and their applications - and gradually build up to building a professional reference operating model for a data science function in an organization. This operating model covers the roles and skills required in a team, the techniques and technologies they use, and the best practices typically followed in executing data science projects. Building an Effective Data Science Practice provides a common base ...
Practical Guide to Salesforce Experience Cloud, 2nd Edition
Practical Guide to Salesforce Experience Cloud, 2nd Edition

Whether you are brand new to the world of digital experiences on the Salesforce platform or you are looking to take your Experience Cloud (previously "Community Cloud") knowledge to the next level, this detailed guide will help you build and manage a Salesforce site by leveraging the declarative power of the platform with clicks, not code. Each Salesforce site/community is a part of a widespread ecosystem, with thousands of sites and millions of users active today on Experience Cloud. Through valuable social and business tools, this online platform enables companies to empower and equip their customers, partners, and employees in new, powerful ways. Author Philip Weinmeister, Salesforce MVP and the only recipient of the "Community Cloud MVP" Trailblazer award from Salesforce, leads you through the ins and outs of Salesforce Experience Cloud and provides you with an array of best practices to deliver top-notch business portals on the Salesforce platform. This completely revised ...
Applied Deep Learning with TensorFlow 2, 2nd Edition
Applied Deep Learning with TensorFlow 2, 2nd Edition

Understand how neural networks work and learn how to implement them using TensorFlow 2.0 and Keras. This new edition focuses on the fundamental concepts and at the same time on practical aspects of implementing neural networks and deep learning for your research projects. This book is designed so that you can focus on the parts you are interested in. You will explore topics as regularization, optimizers, optimization, metric analysis, and hyper-parameter tuning. In addition, you will learn the fundamentals ideas behind autoencoders and generative adversarial networks. All the code presented in the book will be available in the form of Jupyter notebooks which would allow you to try out all examples and extend them in interesting ways. A companion online book is available with the complete code for all examples discussed in the book and additional material more related to TensorFlow and Keras. All the code will be available in Jupyter notebook format and can be opened directly in G ...
Machine Learning with PySpark, 2nd Edition
Machine Learning with PySpark, 2nd Edition

Master the new features in PySpark 3.1 to develop data-driven, intelligent applications. This updated edition covers topics ranging from building scalable machine learning models, to natural language processing, to recommender systems. Machine Learning with PySpark, Second Edition begins with the fundamentals of Apache Spark, including the latest updates to the framework. Next, you will learn the full spectrum of traditional machine learning algorithm implementations, along with natural language processing and recommender systems. You'll gain familiarity with the critical process of selecting machine learning algorithms, data ingestion, and data processing to solve business problems. You'll see a demonstration of how to build supervised machine learning models such as linear regression, logistic regression, decision trees, and random forests. You'll also learn how to automate the steps using Spark pipelines, followed by unsupervised models such as K-means and hierarchical clustering ...
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