Amaury de Leoville

Aleksander Dumas (ojciec)

“Amaury de Leoville” to powieść Aleksandra Dumasa (ojca), francuskiego pisarza i dramaturga, autor “Hrabiego Monte Christo” i “Trzech muszkieterów”.   Utwór stanowi jedyną próbę Dumasa by stworzyć powieść epistolarną. Akcja rozgrywa się na obrzeżach Paryża w latach 1838–1839. Podczas rozmowy jeden z bohaterów zadaje pytanie: - Czy umiera się z miłości? W odpowiedzi pokazuje rękopis, który rzekomo jest pamiętnikiem i listami rodziny zmarłego doktora królewskiego.  

Amaury de Leoville

Aleksander Dumas (ojciec)

Utwór jest wyjątkowo interesujący, ponieważ stanowi jedyną próbę Dumasa by stworzyć powieść epistolarną. Ogólny jej temat to zazdrość. Akcja rozgrywa się na obrzeżach Paryża w latach 18381839. Na pewnym spotkaniu grupy arystokratów podczas rozmowy jeden z nich zadaje pytanie: - Czy umiera się z miłości? I w odpowiedzi pokazuje rękopis, który rzekomo jest pamiętnikiem i listami rodziny zmarłego M. dAvrigny, wdowca i doktora królewskiego, które opowiadają o romantycznej historii Amaury de Léoville, bogatego i samotnego młodego mężczyzny, który żyje z Dr. dAvrigny i jego dwiema kochankami: Madeleine i Antoinette. Ciekawa historia, ponieważ z jednej strony ukazuje punkt widzenia ojca i kochanka, poprzez fragmenty pamiętników, przeciwny wersji Antoinette, zapisanej w jej listach.

Amazon Connect: Up and Running. Improve your customer experience by building logical and cost-effective solutions for critical call center systems

Jeff Armstrong

Amazon Connect is a pay-as-you-go cloud contact center solution that powers Amazon’s customer contact system and provides an impressive user experience while reducing costs. Connect's scalability has been especially helpful during COVID-19, helping customers with research, remote work, and other solutions, and has driven adoption rates higher. Amazon Connect: Up and Running will help you develop a foundational understanding of Connect's capabilities and how businesses can effectively estimate the costs and risks associated with migration.Complete with hands-on tutorials, costing profiles, and real-world use cases relating to improving business operations, this easy-to-follow guide will teach you everything you need to get your call center online, interface with critical business systems, and take your customer experience to the next level. As you advance, you'll understand the benefits of using Amazon Connect and cost estimation guidelines for migration and new deployments. Later, the book guides you through creating AI bots, implementing interfaces, and leveraging machine learning for business analytics.By the end of this book, you'll be able to bring a Connect call center online with all its major components and interfaces to significantly reduce personnel overhead and provide your customers with an enhanced user experience (UX).

Amazon DynamoDB - The Definitive Guide. Explore enterprise-ready, serverless NoSQL with predictable, scalable performance

Aman Dhingra, Mike Mackay

This book will help you master Amazon DynamoDB, the fully managed, serverless, NoSQL database service designed for high performance at any scale. Authored by Aman Dhingra, senior DynamoDB specialist solutions architect at AWS, and Mike Mackay, former senior NoSQL specialist solutions architect at AWS, this guide draws on their expertise to equip you with the knowledge and skills needed to harness DynamoDB's full potential.This book not only introduces you to DynamoDB's core features and real-world applications, but also provides in-depth guidance on transitioning from traditional relational databases to the NoSQL world. You'll learn essential data modeling techniques, such as vertical partitioning, and explore the nuances of DynamoDB's indexing capabilities, capacity modes, and consistency models. The chapters also help you gain a solid understanding of advanced topics such as enhanced analytical patterns, implementing caching with DynamoDB Accelerator (DAX), and integrating DynamoDB with other AWS services to optimize your data strategies.By the end of this book, you’ll be able to design, build, and deliver low-latency, high-throughput DynamoDB solutions, driving new levels of efficiency and performance for your applications.

Amazon EC2 Cookbook. Over 40 hands-on recipes to develop and deploy real-world applications using Amazon EC2

Sekhar Reddy, Aurobindo Sarkar

Discover how to perform a complete forensic investigation of large-scale Hadoop clusters using the same tools and techniques employed by forensic experts. This book begins by taking you through the process of forensic investigation and the pitfalls to avoid. It will walk you through Hadoop’s internals and architecture, and you will discover what types of information Hadoop stores and how to access that data. You will learn to identify Big Data evidence using techniques to survey a live system and interview witnesses. After setting up your own Hadoop system, you will collect evidence using techniques such as forensic imaging and application-based extractions. You will analyze Hadoop evidence using advanced tools and techniques to uncover events and statistical information. Finally, data visualization and evidence presentation techniques are covered to help you properly communicate your findings to any audience.

Amazon Fargate Quick Start Guide. Learn how to use AWS Fargate to run containers with ease

Deepak Vohra

Amazon Fargate is new launch type for the Amazon Elastic Container Service (ECS). ECS is an AWS service for Docker container orchestration. Docker is the de facto containerization framework and has revolutionized packaging and deployment of software. The introduction of Fargate has made the ECS platform serverless.The book takes you through how Amazon Fargate runs ECS services composed of tasks and Docker containers and exposes the containers to the user. Fargate has simplified the ECS platform. We will learn how Fargate creates an Elastic Network Interface (ENI) for each task and how auto scaling can be enabled for ECS tasks. You will also learn about using an IAM policy to download Docker images and send logs to CloudWatch. Finally, by the end of this book, you will have learned about how to use ECS CLI to create an ECS cluster and deploy tasks with Docker Compose.

Amazon Redshift Cookbook. Recipes for building modern data warehousing solutions

Shruti Worlikar, Thiyagarajan Arumugam, Harshida Patel, Eugene Kawamoto

Amazon Redshift is a fully managed, petabyte-scale AWS cloud data warehousing service. It enables you to build new data warehouse workloads on AWS and migrate on-premises traditional data warehousing platforms to Redshift.This book on Amazon Redshift starts by focusing on Redshift architecture, showing you how to perform database administration tasks on Redshift. You'll then learn how to optimize your data warehouse to quickly execute complex analytic queries against very large datasets. Because of the massive amount of data involved in data warehousing, designing your database for analytical processing lets you take full advantage of Redshift's columnar architecture and managed services. As you advance, you’ll discover how to deploy fully automated and highly scalable extract, transform, and load (ETL) processes, which help minimize the operational efforts that you have to invest in managing regular ETL pipelines and ensure the timely and accurate refreshing of your data warehouse. Finally, you'll gain a clear understanding of Redshift use cases, data ingestion, data management, security, and scaling so that you can build a scalable data warehouse platform.By the end of this Redshift book, you'll be able to implement a Redshift-based data analytics solution and have understood the best practice solutions to commonly faced problems.

Amazon Redshift Cookbook. Recipes for building modern data warehousing solutions - Second Edition

Shruti Worlikar, Harshida Patel, Anusha Challa, Ippokratis Pandis

Amazon Redshift Cookbook offers comprehensive guidance for leveraging AWS's fully managed cloud data warehousing service. Whether you're building new data warehouse workloads or migrating traditional on-premises platforms to the cloud, this essential resource delivers proven implementation strategies. Written by AWS specialists, these easy-to-follow recipes will equip you with the knowledge to successfully implement Amazon Redshift-based data analytics solutions using established best practices.The book focuses on Redshift architecture, showing you how to perform database administration tasks on Redshift. You'll learn how to optimize your data warehouse to quickly execute complex analytic queries against very large datasets. The book covers recipes to help you take full advantage of Redshift's columnar architecture and managed services. You'll discover how to deploy fully automated and highly scalable extract, transform, and load (ETL) processes, helping you minimize the operational effort that you invest in managing regular ETL pipelines and ensuring the timely and accurate refreshing of your data warehouse.By the end of this Redshift book, you'll be able to implement a Redshift-based data analytics solution by adopting best-practice approaches for solving commonly faced problems.

Amazon S3 Cookbook. Over 30 hands-on recipes that will get you up and running with Amazon Simple Storage Service (S3) efficiently

Naoya Hashimoto

Amazon S3 Essentials. Get started with Amazon S3 for virtually unlimited cloud and Internet storage

Sunil Gulabani

Amazon Simple Storage Service (Amazon S3), provides developers and IT teams with secure, durable, and highly-scalable object storage. Amazon S3 is easy to use, with a simple web services interface to store and retrieve any amount of data from anywhere on the web.S3 is automatically web scalable and responds to the requirements of your application and traffic, and therefore offers a key element to help companies deal dynamically with any spike in traffic for their application (such as a free e-book offer).This book starts with the basics of the Amazon S3 and its features, and you will quickly get an understanding how to use the Amazon Management Console for Amazon S3 which is the simplest way to manage Amazon S3. Next, we will cover basic operations on bucket, folder, objects. Once the basic operations are understood, you will know how to use Amazon S3 using Java SDK. Following that, you will learn about Copy Objects and Multipart copy objects for large objects size. You will also learn to manage the life cycle of bucket and how to share resources to the different domain by configuring CORS. The book will then guide you through the development and deployment of a static website on Amazon S3 using different services of Amazon.By the end of the book, you will be able to create a scalable application using Amazon S3.

Amazon SageMaker Best Practices. Proven tips and tricks to build successful machine learning solutions on Amazon SageMaker

Sireesha Muppala, Randy DeFauw, Shelbee Eigenbrode

Amazon SageMaker is a fully managed AWS service that provides the ability to build, train, deploy, and monitor machine learning models. The book begins with a high-level overview of Amazon SageMaker capabilities that map to the various phases of the machine learning process to help set the right foundation. You'll learn efficient tactics to address data science challenges such as processing data at scale, data preparation, connecting to big data pipelines, identifying data bias, running A/B tests, and model explainability using Amazon SageMaker. As you advance, you'll understand how you can tackle the challenge of training at scale, including how to use large data sets while saving costs, monitoring training resources to identify bottlenecks, speeding up long training jobs, and tracking multiple models trained for a common goal. Moving ahead, you'll find out how you can integrate Amazon SageMaker with other AWS to build reliable, cost-optimized, and automated machine learning applications. In addition to this, you'll build ML pipelines integrated with MLOps principles and apply best practices to build secure and performant solutions.By the end of the book, you'll confidently be able to apply Amazon SageMaker's wide range of capabilities to the full spectrum of machine learning workflows.

Amazon SimpleDB Developer Guide. Scale your application's database on the cloud using Amazon SimpleDB

Prabhakar Chaganti, Rich Helms, Richard Helms

SimpleDB is a highly scalable, simple-to-use, and inexpensive database in the cloud from Amazon Web Services. But in order to use SimpleDB, you really have to change your mindset. This isn't a traditional relational database; in fact it's not relational at all. For developers who have experience working with relational databases, this may lead to misconceptions as to how SimpleDB works.This practical book aims to address your preconceptions on how SimpleDB will work for you. You will be quickly led through the differences between relational databases and SimpleDB, and the implications of using SimpleDB. Throughout this book, there is an emphasis on demonstrating key concepts with practical examples for Java, PHP, and Python developers.You will be introduced to this massively scalable schema-less key-value data store: what it is, how it works, and why it is such a game-changer. You will then explore the basic functionality offered by SimpleDB including querying, code samples, and a lot more. This book will help you deploy services outside the Amazon cloud and access them from any web host.You will see how SimpleDB gives you the freedom to focus on application development. As you work through this book you will be able to optimize the performance of your applications using parallel operations, caching with memcache, asynchronous operations, and more.

Amazon SimpleDB: LITE. A book and eBook that addresses: what is SimpleDB, how does it compare to relational databases, and how to get started?

Richard Helms, Prabhakar Chaganti, Rich Helms

Amazon Web Services Bootcamp. Develop a scalable, reliable, and highly available cloud environment with AWS

Sunil Gulabani

AWS is at the forefront of Cloud Computing today. Businesses are adopting AWS Cloud because of its reliability, versatility, and flexible design. The main focus of this book is teaching you how to build and manage highly reliable and scalable applications and services on AWS. It will provide you with all the necessary skills to design, deploy, and manage your applications and services on the AWS cloud platform. We’ll start by exploring Amazon S3, EC2, and so on to get you well-versed with core Amazon services. Moving on, we’ll teach you how to design and deploy highly scalable and optimized workloads. You’ll also discover easy-to-follow, hands-on steps, tips, and recommendations throughout the book and get to know essential security and troubleshooting concepts. By the end of the book, you’ll be able to create a highly secure, fault tolerant, and scalable environment for your applications to run on.

Amazon Web Services: Migrating your .NET Enterprise Application. Evaluate your Cloud requirements and successfully migrate your .NET Enterprise Application to the Amazon Web Services Platform

Rob Linton

Amazon Web Services is an Infrastructure as a Service (IaaS) platform in the Cloud, which businesses can take advantage of as their needs demand. The Amazon Cloud provides the enterprise with the flexibility to choose whichever solution is required to solve specific problems, ultimately reducing costs by only paying for what you use.While enterprises understand moving their applications among infrastructure they own and manage, the differences in Amazon's infrastructure bring up specific business, legal, technical, and regulatory issues to get to grips with.This step-by-step guide to moving your Enterprise .NET application to Amazon covers not only the concept, technical design, and strategy, but also enlightens readers about the business strategy and in-depth implementation details involved in moving an application to Amazon. You'll discover how to map your requirements against the Amazon Cloud, as well as secure and enhance your application with AWS.This book helps readers achieve their goal of migrating a .NET Enterprise Application to the AWS cloud. It guides you through the process one step at a time with a sample enterprise application migration. After comparing the existing application with the newly migrated version, it then moves on to explain how to make the hosted application better. It covers how to leverage some of the scalability and redundancy built into the Cloud, and along the way you'll learn about all of the major AWS products like EC2, S3, and EBS.

Amazon Web Services. Podstawy korzystania z chmury AWS

Mark Wilkins

Przeniesienie firmowego systemu do chmury Amazon Web Services bywa sporym wyzwaniem nawet dla osób o dużej wiedzy technicznej. Wysiłek ten jest jednak uzasadniony, gdyż w chmurze AWS można korzystać ze znakomitych rozwiązań, w tym z usług obliczeniowych, magazynu, obsługi sieci i usług zarządzanych. Studiowanie dokumentacji dostępnej w internecie bywa nieefektywne i frustrujące: nader często po kilku wieczorach spędzonych na poszukiwaniach okazuje się, że odnalezione z wysiłkiem instrukcje pochodzą sprzed kilku lat i są już nieprzydatne. Brakuje również wskazówek potrzebnych przy integracji systemów, dotyczących współpracy głównych usług AWS, aspektów sieciowych, mechanizmów skalowania, zabezpieczeń i automatyzacji. Tę lukę wypełnia właśnie ta książka. To praktyczny przewodnik dla inżynierów, którzy chcą planować i wdrażać usługi Amazon Web Services. Przyda się również osobom planującym zdobycie certyfikatu AWS. Przedstawiono tu zasady pracy zgodne z najlepszymi praktykami Well-Architected Framework firmy Amazon, wprowadzono kluczowe koncepcje, a także pieczołowicie wyjaśniono działanie i integrację głównych usług AWS. W książce znalazło się mnóstwo praktycznych, starannie przetestowanych porad dotyczących skalowalności, elastyczności i bezpieczeństwa usług obliczeniowych, magazynu, obsługi sieci oraz usług zarządzanych. Niezwykle cennym uzupełnieniem są przygotowane przez autora materiały wideo prezentujące najważniejsze koncepcje stosowane w chmurze AWS i zawierające szczegółowe instrukcje konfigurowania głównych usług AWS. W tej książce między innymi: rozpoczęcie pracy z Amazon Web Services usługi obliczeniowe oraz usługi sieciowe skalowalność i bezpieczeństwo aplikacji w chmurze AWS bezpieczeństwo przy korzystaniu z Amazon Web Services automatyzacja usług AWS Zostań ekspertem do spraw planowania i wdrażania usług Amazon Web Services!