Overview of Amazon Web Services AWS Whitepaper Overview of Amazon Web Services AWS Whitepaper

Total Page:16

File Type:pdf, Size:1020Kb

Overview of Amazon Web Services AWS Whitepaper Overview of Amazon Web Services AWS Whitepaper Overview of Amazon Web Services AWS Whitepaper Overview of Amazon Web Services AWS Whitepaper Overview of Amazon Web Services: AWS Whitepaper Copyright © Amazon Web Services, Inc. and/or its affiliates. All rights reserved. Amazon's trademarks and trade dress may not be used in connection with any product or service that is not Amazon's, in any manner that is likely to cause confusion among customers, or in any manner that disparages or discredits Amazon. All other trademarks not owned by Amazon are the property of their respective owners, who may or may not be affiliated with, connected to, or sponsored by Amazon. Overview of Amazon Web Services AWS Whitepaper Table of Contents Overview of Amazon Web Services ....................................................................................................... 1 Abstract .................................................................................................................................... 1 Introduction .............................................................................................................................. 1 What Is Cloud Computing? .................................................................................................................. 2 Six Advantages of Cloud Computing ..................................................................................................... 3 Types of Cloud Computing .................................................................................................................. 4 Cloud Computing Models ............................................................................................................ 4 Infrastructure as a Service (IaaS) .......................................................................................... 4 Platform as a Service (PaaS) ................................................................................................ 4 Software as a Service (SaaS) ................................................................................................ 4 Cloud Computing Deployment Models .......................................................................................... 4 Cloud ................................................................................................................................ 4 Hybrid .............................................................................................................................. 5 On-premises ...................................................................................................................... 5 Global Infrastructure .......................................................................................................................... 6 Security and Compliance ..................................................................................................................... 7 Security .................................................................................................................................... 7 Benefits of AWS Security .................................................................................................... 7 Compliance ............................................................................................................................... 7 Amazon Web Services Cloud ............................................................................................................... 9 AWS Management Console .......................................................................................................... 9 AWS Command Line Interface ..................................................................................................... 9 Software Development Kits ....................................................................................................... 10 Analytics ................................................................................................................................. 10 Amazon Athena ............................................................................................................... 10 Amazon CloudSearch ........................................................................................................ 10 Amazon Elasticsearch Service ............................................................................................. 11 Amazon EMR ................................................................................................................... 11 Amazon FinSpace ............................................................................................................. 11 Amazon Kinesis ................................................................................................................ 11 Amazon Kinesis Data Firehose ............................................................................................ 12 Amazon Kinesis Data Analytics ........................................................................................... 12 Amazon Kinesis Data Streams ............................................................................................ 12 Amazon Kinesis Video Streams ........................................................................................... 12 Amazon Redshift .............................................................................................................. 12 Amazon QuickSight .......................................................................................................... 13 AWS Data Exchange ......................................................................................................... 13 AWS Data Pipeline ............................................................................................................ 13 AWS Glue ........................................................................................................................ 13 AWS Lake Formation ........................................................................................................ 14 Amazon Managed Streaming for Apache Kafka (Amazon MSK) ............................................... 14 Application Integration ............................................................................................................. 14 AWS Step Functions ......................................................................................................... 15 Amazon AppFlow ............................................................................................................. 15 Amazon EventBridge ......................................................................................................... 15 Amazon Managed Workflows for Apache Airflow (MWAA) ...................................................... 15 Amazon MQ .................................................................................................................... 16 Amazon Simple Notification Service ................................................................................... 16 Amazon Simple Queue Service ........................................................................................... 16 Amazon Simple Workflow Service ...................................................................................... 16 AR and VR ............................................................................................................................... 16 Amazon Sumerian ............................................................................................................ 17 Blockchain ............................................................................................................................... 17 Amazon Managed Blockchain ............................................................................................. 17 iii Overview of Amazon Web Services AWS Whitepaper Business Applications ................................................................................................................ 17 Alexa for Business ............................................................................................................ 18 Amazon Chime ................................................................................................................. 18 Amazon SES .................................................................................................................... 18 Amazon WorkDocs ............................................................................................................ 18 Amazon WorkMail ............................................................................................................ 18 Cloud Financial Management ..................................................................................................... 19 AWS Application Cost Profiler ............................................................................................ 19 AWS Cost Explorer ............................................................................................................ 19 AWS Budgets ................................................................................................................... 19 AWS Cost & Usage Report ................................................................................................. 19 Reserved Instance (RI) Reporting ........................................................................................ 20 Savings Plans ................................................................................................................... 20 Compute Services ....................................................................................................................
Recommended publications
  • Building Resilience for the Long Run
    Building Resilience for the Long Run How Travel & Hospitality companies can stay agile during business disruption COPYRIGHT 2020, AMAZON WEB SERVICES, INC. OR ITS AFFILIATES 1 About AWS Travel and Hospitality WS Travel and Hospitality is the global industry practice for Amazon Web Services (AWS), with a charter to support customers as they accelerate cloud adoption. Companies around the world, across every segment of the travel and hospitality industry - and of every size - run on AWS. This includes industry leaders like Airbnb, Avis Budget Group, Best Western, Choice Hotels, DoorDash, Dunkin’ Brands, Expedia Group, Korean Air, McDonald’s, Ryanair, SiteMinder, Sysco, Toast, United Airlines, and Wyndham Hotels. These companies and many others are transforming their business by leveraging technology to enhance customer experiences and increase operational efficiency. For more information about AWS Travel and Hospitality, please visit aws.com/travel. Keep up-to-date with executive insights and industry viewpoints at the AWS Travel and Hospitality Blog. Click here to be contacted by an AWS representative. COPYRIGHT 2020, AMAZON WEB SERVICES, INC. OR ITS AFFILIATES AWS.COM/TRAVEL 2 Foreword It has been said that challenges should not paralyze you but help discover who you are. We have seen time and again that immense challenges can bring about incredible innovation. That is especially true today. Around the globe, travel and hospitality companies are taking advantage of the flexibility of the AWS Cloud to innovate quickly and meet their needs during these trying times. Faced with disruption – whether a localized weather event or a pandemic that spans continents – travel and hospitality companies respond and rebuild.
    [Show full text]
  • All In: Staying the Course on Our Commitment to Sustainability
    All In: Staying the Course on Our Commitment to Sustainability Amazon Sustainability • December 2020 • sustainability.aboutamazon.com Table of Contents Introduction: Our World in 2020 3 About 5 Environment 19 People 52 Governance 90 Our World in 2020 WHILE THIS REPORT reflects our work throughout 2019, the world has clearly undergone a massive shift in 2020 with the emergence of COVID-19. We are, first and foremost, focused on the safety of our employees and contractors around the world. It is important that we help our customers through this difficult time, and Amazonians are working around the clock to get necessary supplies delivered directly to the doorsteps of people and organizations who need them. Our Whole Foods Market stores have remained open, providing fresh food and other vital goods for customers. AMAZON EMPLOYEES RECEIVE comprehensive health benefits starting on day one of employment. We are working on building scalable testing for coronavirus. We’ve distributed face masks and implemented temperature checks at sites around the world to help protect employees and support staff, and offer free masks to our Whole Foods Market customers. We regularly sanitize door handles, stairway handrails, lockers, elevator buttons, and touch screens, and disinfectant wipes and hand sanitizer are standard across our network. We also introduced extensive social distancing measures to help protect our associates. In all, we have made over 150 significant process changes in our operations network and Whole Foods Market stores, which we audit frequently, to help teams stay healthy. DURING THIS CRISIS, we’ve added 175,000 new jobs to help meet customer demand for essential products.
    [Show full text]
  • Amazon Polly: Use Cases
    A I M 3 0 3 Stop guessing: Use AI to understand customer conversations Dirk Fröhner Boaz Ziniman Senior Solutions Architect Principal Technical Evangelist Amazon Web Services Amazon Web Services © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Agenda • Introduction Amazon Web Services (AWS) AI/ML offering • Introduction Amazon Connect • Architecture of the labs • Work on the labs • Wrap-up Related breakouts • AIM211 - AI document processing for business automation • AIM212 - ML in retail: Solutions that add intelligence to your business • AIM222 - Monetizing text-to-speech AI • AIM302 - Create a Q&A bot with Amazon Lex and Amazon Alexa © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Natural language processing (NLP) • Automatic speech recognition (ASR) • Natural language understanding (NLU) • Text to speech • Translation @ziniman @ziniman Use cases for NLP Voice of customer Knowledge management Education applications Customer service/ Semantic search Accessibility call centers Enterprise Captioning workflows Information bots digital assistant Personalization Localization The Amazon ML stack: Broadest & deepest set of capabilities Vision Speech Language Chatbots Forecasting Recommendations A I s e r v i c e s A m a z o n A m a z o n T r a n s l a t e A m a z o n A m a z o n A m a z o n A m a z o n A m a z o n C o m p r e h e n d A m a z o n A m a z o n A m a z o n Rekognition Rekognition T e x t r a c t P o l l y T r a n s c r i b e & A m a z o n L e x F o r e c a s t Personalize i m a
    [Show full text]
  • (AWS) Security Workshop - Pre-Read Material
    Amazon Web Services (AWS) Security Workshop - Pre-read material It is highly recommended to go through the pre-read before attending the AWS Security workshop. Shared Responsibility Model Security and Compliance is a shared responsibility between AWS and the customer. This shared model can help relieve the customer’s operational burden as AWS operates, manages and controls the components from the host operating system and virtualization layer down to the physical security of the facilities in which the service operates. The customer assumes responsibility and management of the guest operating system (including updates and security patches), other associated application software as well as the configuration of the AWS provided security group firewall. Customers should carefully consider the services they choose as their responsibilities vary depending on the services used, the integration of those services into their IT environment, and applicable laws and regulations. The nature of this shared responsibility also provides the flexibility and customer control that permits the deployment. As shown in the chart below, this differentiation of responsibility is commonly referred to as Security “of” the Cloud versus Security “in” the Cloud. AWS responsibility “Security of the Cloud” - AWS is responsible for protecting the infrastructure that runs all of the services offered in the AWS Cloud. This infrastructure is composed of the hardware, software, networking, and facilities that run AWS Cloud services. Customer responsibility “Security in the Cloud” – Customer responsibility will be determined by the AWS Cloud services that a customer selects. This determines the amount of configuration work the customer must perform as part of their security responsibilities.
    [Show full text]
  • 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27
    Case 5:19-cv-04422 Document 1 Filed 07/31/19 Page 1 of 32 1 QUINN EMANUEL URQUHART & SULLIVAN, LLP David M. Grable (Bar No. 237765) 2 [email protected] Valerie Lozano (Bar No. 260020) 3 [email protected] 865 South Figueroa Street, 10th Floor 4 Los Angeles, California 90017-2543 Telephone: (213) 443-3000 5 Facsimile: (213) 443-3100 6 Lindsay M. Cooper (Bar No. 287125) [email protected] 7 50 California Street, 22nd Floor San Francisco, California 94111 8 Telephone: (415) 875-6600 Facsimile: (415) 875-6700 9 Attorneys for eBay Inc. 10 UNITED STATES DISTRICT COURT 11 FOR THE NORTHERN DISTRICT OF CALIFORNIA 12 eBay Inc., CASE NO. _____________ 13 Plaintiff EBAY’S COMPLAINT AND DEMAND 14 FOR A JURY TRIAL vs. 15 Sonja Boch, Amanda Sullivan Hedger, and 16 Ernest Arambula, 17 Defendants. 18 19 20 21 22 23 24 25 26 27 28 COMPLAINT Case 5:19-cv-04422 Document 1 Filed 07/31/19 Page 2 of 32 1 INTRODUCTION 2 1. Over the past several years, a group of Amazon managers, including Defendants 3 Sonja Boch, Amanda Sullivan Hedger, and Ernest Arambula 1 have conducted the affairs of 4 Amazon.com, Inc. (“Amazon”) through a pattern of racketeering activity—a conspiracy designed 5 to infiltrate and exploit eBay’s internal member email system using fraud and false pretenses, in 6 violation of 18 U.S.C. § 1343. The managers did this to illegally recruit high-value eBay sellers to 7 Amazon. 8 2. The breadth and scope of the racketeering activity are startling.
    [Show full text]
  • Retail Reboot for the 20'S
    Retail reboot for the 20’s Born from Retail, Built for Retailers Steve Gurney Retail Industry Lead, EMEA 12th October 2020 © 2020, Amazon Web Services, Inc. or its Affiliates. Retail Webinar Series MON AWS in Retail Oct 12 TUE Data Driven Retailing: Insight to Action – AI and ML’s Oct 13 Role in the New World of Retail WED Where Physical Meets Digital Oct 14 THU Retail Supply Chain Optimization Oct 15 FRI Next Gen Digital Platforms Oct 16 © 2020, Amazon Web Services, Inc. or its Affiliates. Agenda • AWS Introduction • Quick overview of where AWS works with Retailers • Digital customer engagement • Where physical meets digital • Supply chain optimisation • Wider Amazon relationship • Retail Webinar Series © 2020, Amazon Web Services, Inc. or its Affiliates. AWS launches – 2006 Creates the modern cloud services industry 2006 2020 2 … 175+ Compute & Storage Cloud Services © 2020, Amazon Web Services, Inc. or its Affiliates. Customers drive innovation 175+ … 90% Cloud Services Customer feedback © 2020, Amazon Web Services, Inc. or its Affiliates. More Retail customers on AWS than anywhere else Thousands of AWS Retail customers | Over $1 Trillion in consumer spending | Across every retail segment © 2020, Amazon Web Services, Inc. or its Affiliates. © 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Learnings from Amazon Retail Available Now Amazon Fraud Detector Amazon Forecast Contact Lens for Amazon Connect Amazon Personalize Amazon Sagemaker Studio Amazon Connect Amazon Sagemaker Autopilot Amazon Lex & Polly Amazon CodeGuru Amazon Kinesis Video Streams Amazon Translate enhancements Amazon Rekognition Recently Announced Amazon Sagemaker Ground Truth Amazon Rekognition Custom Labels Amazon AppFlow & EventBridge Amazon Sagemaker Autopilot © 2020, Amazon Web Services, Inc.
    [Show full text]
  • AWS Managed Services (AMS)
    AWS Managed Services (AMS) Application Developer's Guide AMS Advanced Operations Plan Version September 16, 2020 AWS Managed Services (AMS) Application Developer's Guide AMS Advanced Operations Plan AWS Managed Services (AMS) Application Developer's Guide: AMS Advanced Operations Plan Copyright © Amazon Web Services, Inc. and/or its affiliates. All rights reserved. Amazon's trademarks and trade dress may not be used in connection with any product or service that is not Amazon's, in any manner that is likely to cause confusion among customers, or in any manner that disparages or discredits Amazon. All other trademarks not owned by Amazon are the property of their respective owners, who may or may not be affiliated with, connected to, or sponsored by Amazon. AWS Managed Services (AMS) Application Developer's Guide AMS Advanced Operations Plan Table of Contents Application Onboarding to AMS Introduction ........................................................................................ 1 What is Application Onboarding? ................................................................................................. 1 What we do, what we do not do .................................................................................................. 1 AMS Amazon Machine Images (AMIs) ............................................................................................ 2 Security enhanced AMIs ...................................................................................................... 4 Key terms .................................................................................................................................
    [Show full text]
  • [XIAY]⋙ Big Data Science & Analytics: a Hands-On Approach By
    Big Data Science & Analytics: A Hands-On Approach Arshdeep Bahga, Vijay Madisetti Click here if your download doesn"t start automatically Big Data Science & Analytics: A Hands-On Approach Arshdeep Bahga, Vijay Madisetti Big Data Science & Analytics: A Hands-On Approach Arshdeep Bahga, Vijay Madisetti We are living in the dawn of what has been termed as the "Fourth Industrial Revolution", which is marked through the emergence of "cyber-physical systems" where software interfaces seamlessly over networks with physical systems, such as sensors, smartphones, vehicles, power grids or buildings, to create a new world of Internet of Things (IoT). Data and information are fuel of this new age where powerful analytics algorithms burn this fuel to generate decisions that are expected to create a smarter and more efficient world for all of us to live in. This new area of technology has been defined as Big Data Science and Analytics, and the industrial and academic communities are realizing this as a competitive technology that can generate significant new wealth and opportunity. Big data is defined as collections of datasets whose volume, velocity or variety is so large that it is difficult to store, manage, process and analyze the data using traditional databases and data processing tools. Big data science and analytics deals with collection, storage, processing and analysis of massive-scale data. Industry surveys, by Gartner and e-Skills, for instance, predict that there will be over 2 million job openings for engineers and scientists trained in the area of data science and analytics alone, and that the job market is in this area is growing at a 150 percent year-over-year growth rate.
    [Show full text]
  • Data Warehousing on AWS
    Data Warehousing on AWS March 2016 Amazon Web Services – Data Warehousing on AWS March 2016 © 2016, Amazon Web Services, Inc. or its affiliates. All rights reserved. Notices This document is provided for informational purposes only. It represents AWS’s current product offerings and practices as of the date of issue of this document, which are subject to change without notice. Customers are responsible for making their own independent assessment of the information in this document and any use of AWS’s products or services, each of which is provided “as is” without warranty of any kind, whether express or implied. This document does not create any warranties, representations, contractual commitments, conditions or assurances from AWS, its affiliates, suppliers or licensors. The responsibilities and liabilities of AWS to its customers are controlled by AWS agreements, and this document is not part of, nor does it modify, any agreement between AWS and its customers. Page 2 of 26 Amazon Web Services – Data Warehousing on AWS March 2016 Contents Abstract 4 Introduction 4 Modern Analytics and Data Warehousing Architecture 6 Analytics Architecture 6 Data Warehouse Technology Options 12 Row-Oriented Databases 12 Column-Oriented Databases 13 Massively Parallel Processing Architectures 15 Amazon Redshift Deep Dive 15 Performance 15 Durability and Availability 16 Scalability and Elasticity 16 Interfaces 17 Security 17 Cost Model 18 Ideal Usage Patterns 18 Anti-Patterns 19 Migrating to Amazon Redshift 20 One-Step Migration 20 Two-Step Migration 20 Tools for Database Migration 21 Designing Data Warehousing Workflows 21 Conclusion 24 Further Reading 25 Page 3 of 26 Amazon Web Services – Data Warehousing on AWS March 2016 Abstract Data engineers, data analysts, and developers in enterprises across the globe are looking to migrate data warehousing to the cloud to increase performance and lower costs.
    [Show full text]
  • Amazon Lumberyard Guide De Bienvenue Version 1.24 Amazon Lumberyard Guide De Bienvenue
    Amazon Lumberyard Guide de bienvenue Version 1.24 Amazon Lumberyard Guide de bienvenue Amazon Lumberyard: Guide de bienvenue Copyright © Amazon Web Services, Inc. and/or its affiliates. All rights reserved. Amazon's trademarks and trade dress may not be used in connection with any product or service that is not Amazon's, in any manner that is likely to cause confusion among customers, or in any manner that disparages or discredits Amazon. All other trademarks not owned by Amazon are the property of their respective owners, who may or may not be affiliated with, connected to, or sponsored by Amazon. Amazon Lumberyard Guide de bienvenue Table of Contents Bienvenue dans Amazon Lumberyard .................................................................................................... 1 Fonctionnalités créatives de Amazon Lumberyard, sans compromis .................................................... 1 Contenu du Guide de bienvenue .................................................................................................. 2 Fonctions de Lumberyard .................................................................................................................... 3 Voici quelques-unes des fonctions d'Lumberyard : ........................................................................... 3 Plateformes prises en charge ....................................................................................................... 4 Fonctionnement d'Amazon Lumberyard .................................................................................................
    [Show full text]
  • Introducing Amazon RDS for Aurora Chris Littlefield, AWS Certified Solutions Architect – Associate Level, AWS Certified Sysops Administrator – Associate Level
    Expert Reference Series of White Papers Introducing Amazon RDS for Aurora 1-800-COURSES www.globalknowledge.com Introducing Amazon RDS for Aurora Chris Littlefield, AWS Certified Solutions Architect – Associate Level, AWS Certified SysOps Administrator – Associate Level Introduction The following document provides an overview of one of the latest offerings from cloud leader Amazon Web Services (AWS). It’s a product that will enable powerful, massively scalable relational databases in Amazon’s cloud environment. The product was designed, built, and tested in secret over the past three years, and now it is nearly ready for production workloads. Some of its detailed design remains confidential, so we’ll present the released features and functionality, as well as pricing for this exciting new product. Background In November 2014, at Amazon Web Services’ annual conference re:Invent, Andy Jassy introduced a series of revolutionary new products. Among those new products is the product described in this paper, which is based on AWS’s hugely successful Relational Database Service (RDS). So what’s this new product, you ask? It’s Amazon Aurora for RDS. Aurora is MySQL compatible database solution that will enable highly scalable databases running across multiple AWS availability zones, at a very low price point. It’s designed to deliver the performance and availability of commercial grade databases at the simplicity and price point of open source databases. What is Amazon Aurora? Aurora is a MySQL compatible database engine that far exceeds the current size limitations of relational databases running on RDS. It spans three AWS availability zones within a region. The great news is that if you already use or are familiar with RDS, you’re already going to be comfortable configuring Aurora.
    [Show full text]
  • Amazon Dash Button Comes to the UK—Everyday Essentials from Dozens of Brands, Available to Prime Members at the Touch of a Button
    Amazon Dash Button comes to the UK—everyday essentials from dozens of brands, available to Prime members at the touch of a button August 31, 2016 Dash Button brings Amazon's convenient 1-Click ordering right into the home–when you're running low, just press the button and an order is placed and fulfilled with Prime's unlimited One-Day Delivery Amazon Prime members can get Dash Buttons from popular brands including Ariel, Gillette, and NESCAFÉ Dolce Gusto so members never run out of everyday essentials such as cleaning supplies, pet food, laundry products, coffee and more Dash Buttons are essentially free after the first press—buy a Dash Button for £4.99 and get £4.99 off your first order Amazon Dash Replenishment enables devices to automatically reorder essential consumables, with Bosch and Siemens home appliances, Grundig, Samsung and Whirlpool already integrating the service into their connected devices LUXEMBOURG—31st August, 2016—Amazon today announced the Dash Button—the Wi-Fi-connected device that conveniently reorders your favourite products with the simple press of a button—is now available in the UK. With Dash Buttons, Prime members never have to worry about running out of everyday essentials, including cleaning supplies, pet food, laundry products and more. When a customer sees supplies running low, they simply press a Dash Button to order an item—making it easier than ever to restock essentials at the exact moment they realise more is needed. Dash Button is now available with dozens of top brands, including Air Wick, Andrex, Ariel, Brabantia, Fairy, Finish, Gillette, Huggies, Johnson's Baby, Kleenex, Listerine, NESCAFÉ Dolce Gusto, Neutrogena, Nicorette, Olay, Pedigree, Philips Sonicare, Rimmel, Vanish, Whiskas, Wilkinson, and more.
    [Show full text]