Search results for "Stack"
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Stacked
"Owen is a food star for a new generation...I can't wait to try more of his creations from this book!" --Gordon RamsayTake your sandwich game to the next level with mouthwatering out-of-the-ordinary recipes from TikTok's reigning "Sandwich King" Owen Han.Everyone loves a good sandwich, but when was the last time you had a GREAT one? Isn't it about time your turkey club got an upgrade?Enter Owen Han, whose epic creations between bread have earned him millions of followers on social media. He's renowned for dreaming up modern twists to classic recipes (as with his Chipotle Chicken Philly) and working with global flavors inspired by his Italian and Chinese heritage. And in Owen's book, anything that can be stacked and held in your hand counts as a sandwich--from a taco to a bao to a wrap. Think recipes like: Turkey Crunch Sandwich with Frico CrispsHawaiian Breakfast SandwichSnapper Po' boy with RemouladePeking Duck WrapOG Steak Sando with Caramelized Onion and AioliCrispy and Spicy Eggplant SandwichBao with Hoisin Pork Burnt EndsLemon-Herb Salmon Burgers with Fennel SlawSalted Brownie Ice Cream BarFrom Breakfast to Dessert Sandwiches, this collection showcases every type of sandwich under the sun (and then some). With easy-to-follow instructions and mouthwatering photos, Stacked is perfect for anyone looking to elevate their sandwich game. Get ready to experience sandwiches like never before with these one-of-a-kind, delicious recipes.
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Stacked Deck
The most accessible and engaging exploration of the intersections of inequality in Canada.The second edition of The Stacked Deck examines how inequalities are experienced, perpetuated, and remedied on individual, organizational, and governmental levels. Uniquely organized around access to key resources-such as income, housing, education, nutritious food, and safety-this text is an accessible and comprehensive introduction to social inequalities.
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Stacks Project Expository Collection
The Stacks Project Expository Collection (SPEC) compiles expository articles in advanced algebraic geometry, intended to bring graduate students and researchers up to speed on recent developments in the geometry of algebraic spaces and algebraic stacks. The articles in the text make explicit in modern language many results, proofs, and examples that were previously only implicit, incomplete, or expressed in classical terms in the literature. Where applicable this is done by explicitly referring to the Stacks project for preliminary results. Topics include the construction and properties of important moduli problems in algebraic geometry (such as the Deligne–Mumford compactification of the moduli of curves, the Picard functor, or moduli of semistable vector bundles and sheaves), and arithmetic questions for fields and algebraic spaces.
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Beginning Elastic Stack
Learn how to install, configure and implement the Elastic Stack (Elasticsearch, Logstash and Kibana) – the invaluable tool for anyone deploying a centralized log management solution for servers and apps. You will see how to use and configure Elastic Stack independently and alongside Puppet. Each chapter includes real-world examples and practical troubleshooting tips, enabling you to get up and running with Elastic Stack in record time. Fully customizable and easy to use, Elastic Stack enables you to be on top of your servers all the time, and resolve problems for your clients as fast as possible. Supported by Puppet and available with various plugins. Get started with Beginning Elastic Stack today and see why many consider Elastic Stack the best option for server log management.What You Will Learn:Install and configure LogstashUse Logstash with Elasticsearch and KibanaUse Logstash with Puppet and ForemanCentralize data processingWho This Book Is For:Anyone working on multiple servers who needs to search their logs using a web interface. It is ideal for server administrators who have just started their job and need to look after multiple servers efficiently.
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Learning Elastic Stack 7.0
A beginner's guide to storing, managing, and analyzing data with the updated features of Elastic 7.0Key FeaturesGain access to new features and updates introduced in Elastic Stack 7.0Grasp the fundamentals of Elastic Stack including Elasticsearch, Logstash, and KibanaExplore useful tips for using Elastic Cloud and deploying Elastic Stack in production environmentsBook DescriptionThe Elastic Stack is a powerful combination of tools for techniques such as distributed search, analytics, logging, and visualization of data. Elastic Stack 7.0 encompasses new features and capabilities that will enable you to find unique insights into analytics using these techniques. This book will give you a fundamental understanding of what the stack is all about, and help you use it efficiently to build powerful real-time data processing applications.The first few sections of the book will help you understand how to set up the stack by installing tools, and exploring their basic configurations. You’ll then get up to speed with using Elasticsearch for distributed searching and analytics, Logstash for logging, and Kibana for data visualization. As you work through the book, you will discover the technique of creating custom plugins using Kibana and Beats. This is followed by coverage of the Elastic X-Pack, a useful extension for effective security and monitoring. You’ll also find helpful tips on how to use Elastic Cloud and deploy Elastic Stack in production environments. By the end of this book, you’ll be well versed with the fundamental Elastic Stack functionalities and the role of each component in the stack to solve different data processing problems.What you will learnInstall and configure an Elasticsearch architectureSolve the full-text search problem with ElasticsearchDiscover powerful analytics capabilities through aggregations using ElasticsearchBuild a data pipeline to transfer data from a variety of sources into Elasticsearch for analysisCreate interactive dashboards for effective storytelling with your data using KibanaLearn how to secure, monitor and use Elastic Stack’s alerting and reporting capabilitiesTake applications to an on-premise or cloud-based production environment with Elastic StackWho this book is forThis book is for entry-level data professionals, software engineers, e-commerce developers, and full-stack developers who want to learn about Elastic Stack and how the real-time processing and search engine works for business analytics and enterprise search applications. Previous experience with Elastic Stack is not required, however knowledge of data warehousing and database concepts will be helpful.
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Full Stack Serverless
With a new generation of services and frameworks, frontend and mobile developers can use their existing skill set to build full stack applications by leveraging the cloud. Developers can build robust applications with production-ready features such as authentication, APIs, data layers, machine learning, chatbots, and AR scenes more easily than ever by taking advantage of these new serverless and cloud technologies. This practical guide explains how.Nader Dabit, developer advocate at Amazon Web Services, shows developers how to build full stack applications using React, AWS, GraphQL, and the Amplify Framework. You’ll learn how to create and incorporate services into your client applications while exploring general best practices, deployment strategies, continuous integration and delivery, and rich media management along the way.Learn how to build applications that solve real problemsUnderstand what is (and isn’t) possible when using these technologiesExamine how authentication works—and learn the difference between authentication and authorizationDiscover how serverless functions work and why they’re importantUse GraphQL in your application—and learn why it’s importantLearn how to build full stack applications on AWS
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Learning ELK Stack
Build mesmerizing visualizations, analytics, and logs from your data using Elasticsearch, Logstash, and KibanaAbout This Book• Solve all your data analytics problems with the ELK stack• Explore the power of Kibana4 search and visualizations built over Elasticsearch queries and learn about the features and plugins of Logstash• Develop a complete data pipeline using the ELK stackWho This Book Is ForIf you are a developer or DevOps engineer interested in building a system that provides amazing insights and business metrics out of data sources, of various formats and types, using the open source technology stack that ELK provides, then this book is for you. Basic knowledge of Unix or any programming language will be helpful to make the most out of this book.What You Will Learn• Install, configure, and run Elasticsearch, Logstash, and Kibana• Understand the need for log analytics and the current challenges in log analysis• Build your own data pipeline using the ELK stack• Familiarize yourself with the key features of Logstash and the variety of input, filter, and output plugins it provides• Build your own custom Logstash plugin• Create actionable insights using charts, histograms, and quick search features in Kibana4• Understand the role of Elasticsearch in the ELK stackIn DetailThe ELK stack—Elasticsearch, Logstash, and Kibana, is a powerful combination of open source tools. Elasticsearch is for deep search and data analytics. Logstash is for centralized logging, log enrichment, and parsing. Kibana is for powerful and beautiful data visualizations. In short, the Elasticsearch ELK stack makes searching and analyzing data easier than ever before.This book will introduce you to the ELK (Elasticsearch, Logstash, and Kibana) stack, starting by showing you how to set up the stack by installing the tools, and basic configuration. You'll move on to building a basic data pipeline using the ELK stack.Next, you'll explore the key features of Logstash and its role in the ELK stack, including creating Logstash plugins, which will enable you to use your own customized plugins. The importance of Elasticsearch and Kibana in the ELK stack is also covered, along with various types of advanced data analysis, and a variety of charts, tables ,and maps.Finally, by the end of the book you will be able to develop full-fledged data pipeline using the ELK stack and have a solid understanding of the role of each of the components.Style and approachThis book is a step-by-step guide, complete with various examples to solve your data analytics problems by using the ELK stack to explore and visualize data.
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